Founding Backend Engineer for AI Platform

DiligenceSquared is in search of a pioneering Backend Engineer to join our team as we revolutionize the landscape of market due diligence through cutting-edge AI technology. In this foundational role, you will be instrumental in designing the architecture for our AI-driven engine, which coordinates autonomous research agents and voice AI systems to produce innovative market reports tailored for investment professionals, including those in Private Equity, Hedge Funds, Private Credit, and Corporate M&A.About DiligenceSquaredAt DiligenceSquared, we are transforming commercial due diligence for Private Equity funds. Backed by Y Combinator and having successfully raised a substantial Seed round, we are proud to serve some of the globe's largest PE funds. The market opportunity exceeds $10 billion annually, with PE firms spending up to $1 million per report from consulting giants such as McKinsey, BCG, and Bain. Our AI agents streamline this process, delivering faster, cost-effective, and fully auditable results, linking every claim to its source.Our founding team comprises seasoned professionals from Blackstone and BCG, bringing invaluable insights into the market's needs, which we are now automating.Your Responsibilities:Develop comprehensive product features and experiences from start to finish, including database models, API endpoints, and their integration with UI components for our web and AI Voice Agent application.Design and implement new AI-driven modules from the ground up (e.g., market sizing, competitive analysis) that will become core functionalities of our research platform.Build and maintain product foundations that include AI agent orchestration, voice AI pipelines, application and API performance, and intelligent automations.Architect scalable backend services featuring complex asynchronous processing and background task orchestration.Continuously improve the product by applying insights gained from each project, ensuring we progress by 1% every day (the Law of Compounding is real, especially for a team founded by investment professionals).Qualifications:Minimum of 3 years of professional experience in Python backend development.Proven expertise in building production-ready APIs using frameworks like FastAPI, Django, or equivalent.Experience in developing agentic systems leveraging large language model platforms (e.g., Anthropic, OpenAI).Hands-on experience with LLMs in a production environment, focusing on building reliable agentic systems rather than just API calls.Knowledge of PostgreSQL and SQL database design.Strong problem-solving and analytical skills with a passion for innovative technology.

About DaydreamDaydream is an innovative chat-based shopping assistant exclusively tailored for fashion. Our aim is to revolutionize the way individuals discover and explore fashion by delivering a personalized, conversational experience powered by cutting-edge AI and natural language understanding.Supported by leading investors such as Forerunner Ventures, Index Ventures, Google Ventures, and True Ventures, our dedicated team is passionate about redefining the future of shopping.About the RoleAs the Engineering Lead for Platform & AI, you will take ownership of several backend systems at Daydream. This includes managing the catalog data pipeline that drives our product index, overseeing the AI content pipeline that generates landing pages for ad campaigns, and developing the B2B integration layer that allows our search functionality on partner retail websites. Your work will primarily involve Python and Go, focusing heavily on LLM integration, with your contributions directly impacting our product.Key Responsibilities:Catalog Pipeline:Oversee the augmentation pipeline—a multi-step Polars system that executes ML models (image analysis, hero selection, swatches via Vertex AI), standardizes sizes, appends affiliate links, and writes to Delta Lake / GCS.Enhance catalog quality through OOS accuracy, hero image selection, and sizing coverage.Develop and maintain scrapers and mappers for over 100 fashion merchants across various platforms including Shopify and custom sites.Eventually, take charge of the enrichment layer, focusing on attribute extraction, taxonomy, and Elasticsearch indexing.Content Generation Pipeline:Lead the AI content pipeline—a multi-step system utilizing LLM for topic generation, product matching, quality scoring, and landing page assembly.Enhance prompt quality and evaluate LLM output.Advance towards personalized content for logged-in users, email content, and broadened ad formats.B2B Merchant Integration:Create and manage services that expose core Daydream capabilities to merchant partners.Deploy on Kubernetes utilizing Helm and ArgoCD.In All Areas:Collaborate across teams to ensure seamless integration and functionality of systems.

Founding Backend EngineerCompany Overviewfuku is an innovative and rapidly expanding social shopping platform co-founded by Phoebe Gates and Sophia Kianni. With a user base exceeding 350,000 and an impressive 90% retention rate, fuku is at the forefront of transforming online shopping through community engagement, personalized experiences, and AI-driven recommendations. Join our dynamic, mission-oriented founding team and play a key role in defining the future of social commerce.Key Job Information- Location: New York City (relocation support provided)- Work Type: On-site, full-time- Required Experience: 3+ years- Salary Range: $160,000 – $200,000 per year- Visa Sponsorship: Available for H-1B, O-1, OPTRole SummaryIn the role of Founding Backend Engineer, you will take ownership of and enhance fuku's data infrastructure, essential for powering search, personalization, and recommendations. Collaborating closely with the CTO and machine learning engineers, you'll design robust data pipelines, architect backend systems, and establish best practices for backend engineering. This is a unique founding opportunity where you will have substantial product and technical ownership.Responsibilities- Design and implement backend systems for fuku's recommendation engine and shopping experience.- Develop and maintain data pipelines for processing large-scale datasets from diverse sources.- Create reusable APIs and microservices for core product functionalities.- Collaborate with the ML team to integrate machine learning models into production.- Ensure system reliability, scalability, and maintainability across the backend stack.- Set and uphold backend engineering standards and technical best practices.Requirements- At least 3 years of backend engineering experience.- Strong expertise in Python and cloud platforms (AWS/GCP).- Practical experience in building data pipelines and microservices architectures.- Familiarity with Airflow, gRPC, GraphQL.- In-depth knowledge of search and vector database technologies, including: - HNSW (Hierarchical Navigable Small World) - OpenSearch / Elasticsearch - Approximate Nearest Neighbor (ANN) frameworks- Exceptional system design and problem-solving capabilities.- Willingness to work in-person in New York City (relocation assistance provided).Benefits & Perks- Competitive salary with equity in the company.- Comprehensive health, vision, and life insurance.- 401(k) plan with company matching.- Complimentary daily lunches, snacks, and late-night Ubers.- Opportunity to work closely with founders and early team members, influencing product and technical direction.Interview Process1. Introductory chat with the Head of Recruiting2. Technical interview3. Coding assessment4. CTO interview5. Onsite interview (technical + cultural fit)6. Offer extended7. Onboarding

Join Savvy as a Founding Platform Engineer, where you will play a pivotal role in building innovative solutions that power our platform. As a key member of our team, you will collaborate closely with cross-functional teams to design, implement, and optimize our backend systems. Your expertise will help shape the technological backbone of our services, ensuring scalability and reliability.

Overview: Spur is the AI QA Engineer for every company.Location: New York CityAt Spur, we create groundbreaking technology designed to redefine quality assurance: autonomous browser agents that think, explore, validate, and self-heal like actual users. We aren’t just another testing tool; we are revolutionizing the way digital teams deliver with confidence.The market response has been resounding. Leading brands such as Alo Yoga, Living Spaces, HelloFresh, Nextdoor, and Abercrombie & Fitch are actively engaging with us. Demand is skyrocketing, sales cycles are swift, and our product delivers — teams can go live in days, not months.Our elite team comprises builders from DeepMind, Figma, and former founders who are producing at a pace that larger companies cannot match.Our Mission: We aim to empower our customers to deliver exceptional digital experiences.Explore our Manifesto: https://www.spurtest.com/founders-letterThe RoleAs the founding engineer specializing in infrastructure and backend, you will design the core architecture of Spur’s platform—defining, building, and scaling critical infrastructure that powers our web agents.You will oversee our entire stack from top to bottom, orchestrating vast fleets of browsers and web agents in the cloud while optimizing them for massive scale. Collaborating closely with the founders, you will tackle pioneering infrastructure challenges that have a direct impact on our customers and set the benchmark across our stack, from low-level infrastructure to the user experience delivered by our agents.What You Will DoBuild and scale our core infrastructure to deploy and manage thousands of browser and web agents daily.Design, implement, and maintain our clusters, CI/CD processes, observability, and best practices.Rapidly iterate in collaboration with product, engineering, and the founders.Bonus PointsExperience with distributed task queues and optimizing performance/scalability.A history of generating impact in small teams and scaling infrastructure from the ground up.You Will Excel Here If YouHave 5+ years of experience designing, deploying, and managing infrastructure at scale.Possess deep expertise in Docker and cloud technologies.

About SequenceJoin Sequence to revolutionize how companies manage their revenue! Our platform processes over $1 billion in annual invoice volume and continues to expand rapidly.We are crafting an AI-driven financial platform designed for modern finance teams, eliminating outdated spreadsheets and cumbersome legacy systems with user-friendly software.Trusted by industry leaders like Cognition, incident.io, and MoonPay, Sequence is streamlining the revenue cycle for over 100 high-growth businesses, from quoting to billing and revenue recognition.Founded by seasoned entrepreneurs, we experienced a remarkable 10x ARR growth last year and recently secured $20M in Series A funding led by 645 Ventures, with participation from a16z and outstanding founders and CFOs from companies like Decagon, Klaviyo, and Wise.

Join us as a Founding Software Engineer with extensive full-stack development expertise to shape the future of our innovative AI platform tailored for market due diligence. You will take full ownership of developing features from the ground up—spanning AI-driven backend systems to sleek frontend interfaces utilized by investment professionals in Private Equity, Hedge Funds, Private Credit, and Corporate M&A to guide billion-dollar decisions.About DiligenceSquaredDiligenceSquared revolutionizes commercial due diligence for Private Equity funds. Backed by Y Combinator, we recently secured a substantial Seed round, and our clientele includes some of the largest PE funds globally.The market is valued at over $10 billion annually, with PE funds investing $500,000 to $1 million per report with firms like McKinsey, BCG, and Bain. Our AI solutions provide these services faster, more cost-effectively, and with superior accuracy compared to traditional methods.Our founders have firsthand experience in this domain, having traded these reports while holding senior positions at Blackstone and BCG. We possess profound insights into the workflows and are now focused on automating these processes.Your Responsibilities:Develop new product features and user experiences end-to-end, from database schemas to API endpoints, and integrate them with UI components for our web application and AI Voice Agent.Design and build AI-powered modules from scratch (e.g., market sizing, competitive analysis) that will be integral to our research platform.Establish and manage product foundations across the stack, including AI agent orchestration, voice AI pipelines, interactive data visualizations, application and API performance, and intelligent automations.Incorporate lessons learned from every project into the product development, ensuring continuous incremental improvements (the Law of Compounding is critical, especially for a company founded by investment experts).Qualifications:Minimum of 3 years of professional full-stack development experience.Strong command of React/TypeScript and Python.Experience in developing intelligent systems using LLM platforms (e.g., Anthropic, OpenAI).Extensive hands-on experience with LLMs in production, focusing on building reliable intelligent systems.Proficient with PostgreSQL and SQL database architecture.Familiarity with modern frontend architecture, state management, and API design.

At Atrix, we are at the forefront of revolutionizing the biopharma landscape with our innovative AI-driven solutions. As a Founding Backend Engineer, you will play a pivotal role in shaping our backend infrastructure, enabling AI-native workflows that efficiently convert unstructured data into actionable insights.You will design and implement scalable data pipelines, robust APIs, and real-time inference systems that support complex workflows and enhance customer-facing experiences. Your contributions will be critical to the operational success and scalability of our platform.Join us in building a modular, agentic platform that integrates with approved data sources, transforms data using LLM-based agents, and delivers decision-ready intelligence to our regulated teams. You will face exciting backend engineering challenges such as: System Design & Reliability: Ensure fast response times while handling vast amounts of records. LLM Ops: Make AI outputs transparent, auditable, and efficient. Multi-Tenant Infrastructure: Securely isolate customer data across parallelized pipelines. AI Performance Tuning: Optimize AI operations for maximum efficiency.

About Hebbia Hebbia is an innovative AI platform designed for investors and bankers, focused on generating alpha and enhancing investment strategies. Founded in 2020 by George Sivulka and bolstered by notable investors like Peter Thiel and Andreessen Horowitz, Hebbia is trusted by industry leaders, including BlackRock, KKR, Carlyle, and Centerview. Our flagship product, Matrix, sets the standard for accuracy, speed, and transparency in AI-driven financial analysis, overseeing over $30 trillion in global assets. Our AI technology reveals insights beyond human perception, identifies hidden opportunities, and accelerates decision-making with unparalleled precision. We redefine capital deployment, risk management, and value creation across financial markets. At Hebbia, we are not just a tool; we are the competitive advantage that drives performance and market leadership. The Team The Agent Collaboration platform team at Hebbia creates interactive tools for agents, enhancing analysis and content creation. Our flagship product, Matrix, is a generative spreadsheet that utilizes our ISD process to orchestrate complex workflows across extensive document collections. We combine a user-friendly interface with a powerful LLM execution engine that processes vast amounts of data at remarkable speeds, turning unstructured document repositories into actionable insights. The Role As a Backend Engineer at Hebbia, you will leverage your expertise in systems and application layer software to...

Join us as a Founding Software Engineer specializing in frontend development to shape the future of AI-driven market due diligence. You will take charge of the frontend experience for our innovative platform, designing user-friendly interfaces for voice AI interactions and dynamic data visualizations, aiming to redefine market reports for investment professionals in sectors such as Private Equity, Hedge Funds, Private Credit, and Corporate M&A.About DiligenceSquaredDiligenceSquared revolutionizes commercial due diligence for Private Equity firms. Backed by Y Combinator and having recently secured a substantial Seed funding round, we serve some of the largest Private Equity funds globally.The market for due diligence services exceeds $10 billion annually, with firms like McKinsey, BCG, and Bain charging between $500K and $1M per report. Our AI agents offer faster, more cost-effective solutions with full traceability of claims to their sources.Our founders possess extensive experience from their time at Blackstone and BCG, where they were instrumental in these workflows. We intimately understand market needs, and we’re dedicated to automating them.Your ResponsibilitiesLead the frontend development of our AI-driven platform, crafting interfaces that engage and satisfy users at leading investment firms.Simplify complex data and AI outputs into user-friendly, actionable interfaces.Develop a robust, scalable frontend architecture capable of supporting intensive real-time operations.Explore the limits of modern web technologies to enhance user experience.Continuously improve our product by applying insights from each project to achieve a daily 1% improvement (the Law of Compounding is real, especially for a company founded by investment experts).Qualifications:Minimum of 3 years of professional experience with React and TypeScript.Strong expertise in contemporary frontend architecture and state management.Proven track record in developing complex, data-intensive applications.Familiarity with Next.js or comparable React frameworks.A portfolio showcasing your craftsmanship and attention to detail.A passion for UI/UX design and making intricate information easily digestible.Bonus Skills:Background in finance, particularly within investment banking or consulting.

Join Our Visionary TeamWe are revolutionizing the AI landscape for America’s 33 million small and medium-sized businesses (SMBs). Our growth trajectory is remarkable—10x in the past year and 20% month-over-month. After recently securing $3 million in seed funding from Pear, we proudly serve over 300 businesses today, with a target of exceeding 1000 by year-end. We have uncovered an untapped opportunity to lead the SMB market while others focus solely on enterprise solutions.Our Ambitious GoalConventional wisdom suggests that SMBs are challenging due to low contract values and high churn rates. However, we see significant growth potential where others see obstacles. Representing half of the U.S. GDP, SMBs require AI solutions just as much as enterprises do, and we are making this vision a reality.Our initial success demonstrates our model's effectiveness, and we are on the lookout for a dynamic product leader to help us scale. Starting with AI receptionists, we have quickly evolved into a more robust platform—the SMB Customer Revenue Engine, equipped with AI agents managing all customer interactions, an intelligent layer that learns from each interaction, and outbound AI strategies that drive genuine revenue growth. Our bold vision is to become the ultimate SMB super app—a comprehensive, intelligent platform that oversees everything from customer acquisition to retention.Your RoleAs our first full-stack founding engineer, you will play a pivotal role in shaping the evolution of our product. This position is far from ordinary; while coding is part of your job, your responsibilities will also include:Engaging with customers to gather feedbackParticipating in major dealsFacilitating growth experimentsDirectly influencing the product roadmapYou will take ownership of features from prototype to production scaling, collaborating closely with our founder (ex-Meta) and PM (ex-Microsoft) to influence the company's direction.Within your first 90 days, you will:Launch revenue-generating features utilized by hundreds of SMBsParticipate in sales and support calls, transforming customer feedback into rapid product iterationsWork across the technology stack (TypeScript, React, FastAPI, Postgres, Twilio, LiveKit)Refine critical AI logic that impacts call qualityDevelop internal tools that accelerate go-to-market effortsIn the subsequent six months, you will:Manage significant product areas (e.g., lead capture workflows, analytics, integrations)Drive the adoption of your features across 1000+ businessesCollaborate across teams to enable seamless product launches

About CaraCara is an innovative AI platform specifically designed for the insurance sector. Our modular system empowers agencies, brokerages, and wholesalers to automate servicing, enhance sales, and scale operations with a round-the-clock digital workforce.As one of the fastest-growing AI companies within the insurance industry, we are attracting a diverse range of agencies and brokerages with our expanding customer base. Our team comprises seasoned professionals from leading companies such as Stripe, Blend, Strategy&, and Travelers, all supported by premier venture capitalists. We are rapidly scaling our product and team to cater to increasing market demands.About the RoleIn the role of Founding Marketing Leader at Cara, you will establish and oversee the entire marketing function from inception. Your efforts will define how we position, communicate, and expand Cara’s specialized AI platform among insurance agencies, brokerages, and wholesalers.This pivotal role sits at the crossroads of Product, Sales, and Growth. You will craft our narrative, drive the pipeline through events and content, empower our sales team to secure enterprise deals, and position Cara as the leading AI platform in the insurance domain.You will collaborate closely with the founders to devise strategy and implement across all marketing areas—product marketing, content, events, brand, and sales enablement—while laying the groundwork for a world-class marketing organization.What You’ll DoLead Comprehensive Marketing Initiatives: Oversee and execute all facets of marketing, encompassing product marketing, content creation, event management, brand strategy, and sales enablement.Product Marketing & Launch Strategies: Direct go-to-market strategies for new features and products—from internal enablement to customer-facing launches—ensuring robust adoption and clear value communication.Sales Enablement: Provide the go-to-market team with impactful resources and support for enterprise deal initiatives.Content Development & Leadership: Develop and extend content across various channels to boost awareness, credibility, and inbound demand.Event Strategy & Execution: Manage strategy and execution for industry conferences, hosted dinners, webinars, and field events—driving pipeline and enhancing Cara’s visibility within the insurance ecosystem.Customer & Market Insights: Conduct customer interviews, synthesize feedback, and convert insights into refined messaging and product enhancements.

About Sailor HealthSailor Health is dedicated to addressing the urgent mental health crisis affecting older adults. In the U.S., seniors are the demographic with the highest suicide rates but often lack adequate mental health services. With projections indicating that by 2030, over 65 million seniors will represent nearly a quarter of the U.S. population, this issue demands immediate attention.We are developing an innovative platform focused on senior mental health, facilitating connections between older adults, therapists, healthcare professionals, and insurance providers. Our AI-driven operating system enhances care coordination, provides real-time clinical insights, and simplifies insurance billing, allowing therapists to dedicate more time to compassionate care.Our rapid growth and partnership with Medicare enable us to deliver exceptional and affordable psychotherapy to hundreds of patients. We are proud to have the support of distinguished founders from Ramp, Nourish, Headway, Charlie Health, and Spring Health.⭐ About the RoleLocation: HQ - New York City - Remote.We are seeking a Founding Full-Stack Engineer who will spearhead the development of our AI-enhanced platform from its architectural design through to launch. You will collaborate closely with our co-founders to establish the systems and AI infrastructure that drive our platform, including tools for therapists and care navigation support.This is a unique opportunity to create and launch an AI-first product from the ground up at a startup that has achieved exceptional product-market fit. You will be responsible for significant technical decisions, influence our engineering culture, and rapidly bring innovative ideas to fruition. If you thrive in a fast-paced environment and seek to make a meaningful impact through your coding, we want to connect with you.

About UsAt Qloo, we are at the forefront of innovation with our advanced Taste AI technology. We harness vast amounts of data—over 500 million records encompassing public figures, locations, and various entities, along with a global consumer behavior and sentiment database—to uncover profound insights into consumer preferences. Our Taste AI engine excels in identifying key signals from the noise, from analyzing global travel trends to delivering personalized restaurant recommendations tailored to individual tastes. An exciting aspect of our API suite is that it is driven by cultural entities rather than personal identities, ensuring our insights are derived without relying on personally identifiable information. You can learn more about our recent Series C funding here.Role OverviewAs a Senior Backend Engineer reporting to the VP of Platform Engineering, you will work closely with a dedicated team of 5-7 engineers focused on backend systems, scaling, resilience, and API management. Our collaborative team culture emphasizes mutual support and a shared commitment to enhancing our technical capabilities to serve our esteemed clients effectively.In this pivotal role, you will significantly influence the scaling, modernization, and implementation of our backend platform. Your responsibilities will include high-impact projects such as developing and coding microservices, enhancing observability, and boosting performance and reliability across our APIs and data pipelines. Additionally, you will define best practices and implementation specifics as we refine our API gateway and containerized infrastructure, implementing features that unlock new capabilities for our clients—some of the most recognizable brands worldwide—impacting millions of users.Responsibilities+ Build, optimize, and maintain backend services and APIs with a strong emphasis on performance and reliability.+ Develop and maintain internal tools and observability systems (logging, telemetry, etc.).

Join Noto as a Founding Engineer!At Noto, we are revolutionizing the way after-school businesses operate by creating an AI-native operating system tailored for tutoring centers, music schools, and sports academies. Our goal is to empower the 150,000 after-school businesses across the U.S. with a seamless platform that modernizes outdated tools and eliminates the chaos of spreadsheets.With our recent funding of $3.8M seed from esteemed investors like Base10 Partners and South Park Commons, we are poised for rapid growth.Founded by visionary technical leaders, AJ Ding (CEO) and Steve Wang (CTO), we are based in NYC and are in the process of building a passionate team dedicated to quality, user experience, and making a significant impact.Become part of our mission to empower small-business owners within local communities!(Our team enjoying karaoke with a valued customer)Meet Our Founders AJ Ding (CEO) - A second-time founder with a background in AI recruiting and experience as a machine learning engineer and data scientist at Quora, Lyft, and Meta. AJ holds a degree in Statistics from Yale and has a personal connection to small business ownership.Steve Wang (CTO) - Previously the Head of Engineering at Nitra, Steve has extensive experience in data science and engineering at Lyft. He studied math at Harvard and has Canadian roots.Work Environment 4 days in-office (Union Square area)1 day remote per week1 week per quarter to work from anywhereOpportunities for occasional travel for team off-sites and client visitsOur Company Culture Strong Team Spirit: We collaborate closely and celebrate our shared achievements.Impact-Driven: We prioritize meaningful work that makes a difference.

Location: New York CityIndustry: AI / Recruiting / HR TechCompensation: Competitive salary plus meaningful early equity Talentpluto is building an autonomous recruiting platform that uses AI to streamline hiring. The team focuses on intelligent candidate screening, real-time conversations with hiring managers, and automating complex recruiting workflows. The product leverages large language models, voice AI, and automation tools to reshape how companies find and hire talent. The company values agility, rapid iteration with real users, and a culture based on trust and ownership. Feedback from clients and candidates directly shapes product decisions, and everyone is encouraged to take responsibility for impactful hiring tools. Role overview The Founding Engineer will help define the technical direction of Talentpluto and take on broad ownership across the product and technology stack. This position suits someone who enjoys building from the ground up, partnering closely with founders and clients, and shaping both architecture and engineering culture from the earliest stages. This role covers everything from designing and deploying features to establishing infrastructure and engineering practices. The Founding Engineer will also help recruit and onboard future engineering hires, ensuring the team grows with strong foundations in place. Key responsibilities Design, build, and launch features across the stack, including backend data models, APIs, and user interfaces Work directly with founders and clients to turn high-level needs into practical, effective solutions Select tools, frameworks, and architectural approaches for the platform Set up and maintain infrastructure for CI/CD, observability, security, testing, and performance Define engineering best practices, such as code review standards, testing protocols, and release management Contribute to pipeline management UIs, multi-tenant systems, and integrations with payment gateways and external services Support recruitment, hiring, and onboarding of engineers and contractors as the team grows Troubleshoot complex production issues and improve documentation and internal tools as needed Requirements Experience delivering real products end-to-end, ideally in a startup or fast-changing team Comfort working across the full stack: frontend, backend, databases, and sometimes mobile Strong sense of ownership and focus on user outcomes, not just task completion Ability to work through ambiguity and iterate based on user feedback

The advertising landscape is evolving, and at Polynomic, we’re leading the charge in transforming performance marketing from its roots. We envision a future where innovative ad formats remain the cornerstone of online business, driving growth in commerce. However, the current performance marketing strategies are bogged down by outdated methodologies and excessive manual labor. We’re committed to changing that narrative. Our goal is to empower brands to abandon the hit-or-miss approach of traditional marketing and leverage the power of AI to create more efficient and profitable advertising solutions.We’re developing autonomous, intelligent systems that allow brands to seamlessly connect and discover the most lucrative avenues for revenue growth through advertising, reducing the need for costly agencies and minimizing the time spent on campaign optimization.Founded by Madhav (former Google Ads, Citadel, HBS, Harvard) and Nathan (former Google Research, HBS, Stanford CS), Polynomic is a well-funded seed-stage startup supported by leading venture capitalists and angel investors. We’re already collaborating with multiple high-growth consumer brands as our clients.Role Overview:As a Founding Engineer, you will take the reins in defining and constructing the foundational technology stack that powers Polynomic. You will engage with cutting-edge AI challenges, develop data infrastructures, and orchestrate agents to create autonomous systems that will redefine the future of performance marketing.Preferred Qualifications:You possess exceptional talent demonstrated through successfully shipped products, impactful research contributions, open-source projects, startup experiences, or other technically rigorous endeavors.You are passionate about owning and successfully delivering ambitious and complex projects that tackle challenging technical problems (e.g., reinforcement learning, bandits, reasoning, agent reliability, and ad creative generation workflows).You are genuinely interested in the dynamics of running efficient digital advertisements and understand their significant influence on global commerce.This is an in-person role located in New York City.

About SolvaSolva is pioneering the development of artificial intelligence solutions tailored for the insurance industry, transforming a colossal $8 trillion market, with a primary focus on claims management. Our operations are bolstered by a $6 million investment from prominent backers including First Round, Y Combinator, SV Angel, and notable angel investors like Paul Graham, who have previously supported industry giants such as OpenAI, Google, Stripe, Anthropic, Databricks, and GitHub. We are proud to have an advisory board composed of seasoned insurance executives and entrepreneurs.Our team has a proven track record, having played a crucial role in establishing Europe’s fastest-growing InsurTech and founding a licensed EU bank that handles payments exceeding €1 billion annually. We are on a mission to revolutionize one of the world’s largest sectors by reimagining it through the power of AI.Solva is recognized as a Y Combinator S25 company, rapidly emerging as one of the most dynamic and well-capitalized startups in the industry.About the RoleAs a Founding Engineer, you will collaborate with a team of seasoned entrepreneurs and former Apple engineers. You will set the standards for AI security and accountability, creating best practices where none currently exist. We value those willing to tackle challenging problems head-on and innovate in meaningful ways. Your contributions will be pivotal in shaping our core product and expanding our engineering team.Your responsibilities will vary, from delving deep into backend systems and cloud infrastructure to making architectural decisions that impact multi-billion dollar claims processes.This position offers true ownership. You will not only write code but also influence the technical direction, lead initiatives on new projects, and help cultivate a strong engineering culture from the ground up.What You Will DoDesign and implement production systems for our core offerings.Take charge of infrastructure and backend technologies (Go, Python, Postgres, GCP/AWS, Kubernetes, Terraform, CI/CD).Engage across the tech stack as necessary (React, Vite, TypeScript).Deliver quickly, iterate based on customer feedback, and transform complex issues into clean, scalable solutions.Help foster an exceptional engineering culture and play a significant role in shaping our long-term technical vision.What We Are Looking ForA standout candidate who has developed impressive projects in the AI domain.Extensive backend and infrastructure experience (cloud services, infrastructure as code, system scalability, observability).Proven ability to make technical decisions while balancing practical solutions and long-term design goals.A strong desire to innovate and contribute to the future of AI in the insurance sector.

Role overview As Engineering Manager for Applied AI & Platform at norm-ai in New York City, this position leads a team dedicated to bringing artificial intelligence into the company’s platform products. The manager sets direction for projects, supports the technical development of engineers, and plays a key role in shaping the vision for how AI will influence future product offerings. What you will do Guide engineers as they develop and integrate AI technologies into core platforms Oversee project planning and execution to ensure initiatives match company objectives Provide technical leadership and mentorship to help the team achieve strong results Work with stakeholders to define the technology roadmap and platform strategy

Join Meridian as a Founding Backend Engineer and play a pivotal role in crafting the foundational systems that drive our cutting-edge AI capabilities. In this exciting position, you will be tasked with developing scalable APIs, efficiently managing vast datasets, and establishing a robust and high-performance backend infrastructure.Key ResponsibilitiesDesign and develop resilient backend systems that facilitate AI-driven analytics.Create scalable APIs that provide real-time insights and streamline data management.Enhance data processing pipelines for both large structured and unstructured datasets.Maintain system security, performance, and reliability throughout the tech stack.Collaborate closely with front-end engineers and data scientists to implement impactful features.Make critical technical decisions, balancing speed and long-term sustainability.Candidate ProfileDemonstrated expertise in backend development, supported by a strong portfolio or GitHub repository.Proficiency in Node.js, TypeScript, and Python, with practical experience in scalable backend solutions.In-depth knowledge of database systems (PostgreSQL, S3, data lakes) and adept at efficient query design.Proven history of developing robust data pipelines and experience with distributed systems.Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).Strong understanding of security best practices, API authentication, and performance optimization.Thrives in a dynamic, high-performance startup environment.Experience in system prompt engineering and LLM output evaluation is a plus.