Senior Software Engineer, Data & AI

Vendelux is revolutionizing the way organizations discover, evaluate, and leverage the power of events.Event marketers play a crucial role in driving pipeline growth and brand visibility, yet events often remain one of the least optimized and most opaque marketing channels. Vendelux aims to change this dynamic. We offer a comprehensive system of record for event marketing, empowering teams with the data and insights necessary to make informed, strategic decisions.Our AI-driven platform provides exclusive insights across over 250,000 events, enabling high-growth companies to pinpoint where their ideal customers will be, optimize ROI, and transform events into scalable growth channels. Customers frequently describe Vendelux as an essential tool for event marketers. A significant aspect of this success is our expanding network of partnerships with event organizers, who share first-party attendee and sponsorship data in exchange for valuable market insights.Additionally, Vendelux Meetings empowers customers to translate event insights into actionable strategies, leveraging AI to identify high-value attendees and automatically schedule one-on-one meetings with the right prospects at conferences. This process enhances pipeline generation and ensures that every event has a substantial impact.Founded in 2021, Vendelux is a Series A SaaS company backed by prominent investors, including FirstMark, with a recent funding round of $14 million. Our team comprises professionals with experience from notable companies such as Bain, ZoomInfo, Shutterstock, Compass, Forter, Airbnb, and more.We seek a Senior Software Engineer, Data & AI who thrives at the intersection of software engineering, data engineering, and applied AI to construct production-grade systems. You will be responsible for developing, deploying, and scaling features that are integral to our product. This position is ideal for someone who prioritizes impact over method, enjoys tackling data challenges using diverse approaches, and is eager to see their work shape the user experience.Key ResponsibilitiesDesign & Build AI-Powered Features: Architect, implement, and deliver data-driven product features, with a primary focus on addressing customer problems. From prototyping to production, you will apply the appropriate level of technology, whether straightforward heuristics or advanced AI, to create impactful solutions.Build for Production: Create maintainable and scalable systems, including writing clean, testable code, integrating with new and existing data pipelines, and deploying solutions and services within cloud environments.

Why Join Moonshot AI?Imagine a world where websites automatically optimize themselves to enhance sales, improve conversion rates, and accelerate growth. At Moonshot AI, we are transforming this vision into reality by integrating generative AI, extensive data processing pipelines, and systematic experimentation into a self-evolving digital ecosystem.As a well-funded startup in its early stages, we have a bold vision. Joining us means becoming more than just an employee; you will play a crucial role in shaping our technical and cultural foundation. If you desire the freedom of a founder, combined with the support of top-tier investors, this is the opportunity for you.Your ContributionsIn your role as our Senior Fullstack Engineer, you will be actively engaged across the technology stack. You will design, develop, and scale systems that power our AI-driven platform, enjoying significant autonomy, rapid execution, and substantial ownership of your work.Build and architect scalable systems — from backend APIs to frontend dashboards — capable of processing millions of web events daily.Create large-scale data infrastructure that elucidates website construction, performance metrics, and optimization strategies.Train and integrate LLMs into production environments to autonomously hypothesize, generate, and validate website variants.Influence engineering culture and practices — your impact will be evident throughout our tech stack, architecture, and team processes.Engage in experimentation, prototyping, and iteration — combining research, product development, AI, and scalability in a single role.This is not about maintaining another SaaS application; it’s about constructing an AI engine that revolutionizes digital product creation.Candidate ProfileA software artisan — you produce clean, scalable code and are adept at delivering results swiftly.5+ years of full-stack development experience (Python, JavaScript, AWS preferred, but not mandatory).Proven experience in leading teams or managing significant projects.Educational background in Computer Science, Electrical Engineering, Mathematics, or equivalent practical expertise.An AI enthusiast eager to work with LLMs and influence their real-world applications.Bonus Qualifications:Experience in a startup environment (thriving in dynamic, fast-paced settings).

About UsAt Perchwell, we are redefining the landscape of real estate listings. Our innovative platform empowers agents to conduct intelligent searches, enhance collaboration, and expedite transactions. We are dedicated to establishing a state-of-the-art infrastructure for residential real estate listings, seamlessly merging market research with client collaboration.Our cutting-edge architecture supports ongoing innovation that outpaces legacy systems, featuring AI-driven functionalities and mobile-first designs tailored for real-world applications by agents. As technology and consumer expectations evolve, our commitment remains steadfast: to provide real estate professionals with the most sophisticated, data-centric, and interconnected platform available.Supported by premier venture capital firms like Lux Capital and Founders Fund, along with strategic alliances with leading Multiple Listing Services (MLSs), Perchwell stands as the foremost new entrant into the listings technology market in decades. This unique blend of institutional backing and industry integration offers the resources and credibility necessary to revolutionize the multi-trillion dollar residential real estate sector.Position OverviewAs a Senior Software Engineer, Data, you will be integral to Perchwell's mission of developing a cohesive Multiple Listing System (MLS). You will work collaboratively with cross-functional teams, including Data Analysts, Product Managers, Designers, and Engineers, to construct robust data solutions. Your responsibilities will encompass establishing a data lake and warehouse solution, enhancing our existing data framework, and creating a premier system that accelerates the accurate onboarding of client data. As a key contributor to this initiative, you will have the chance to influence the standards, culture, and values of the data engineering team.We invite candidates to work from our SoHo NYC office three days a week.Your ContributionsDevelop and scale efficient data pipelines that integrate millions of property listings and market insights from diverse real estate data sources and APIs.Promote data excellence by designing automated governance systems that ensure high data quality and comprehensive observability across our platform.Drive the advancement of our data infrastructure to facilitate swift MLS onboarding, crafting solutions that benefit real estate professionals across the nation.Collaborate with our Data Analytics team to convert raw property data into actionable insights that enhance decision-making processes.

At Bubble, our mission is clear: we strive to empower everyone to create software. We believe that every idea deserves a chance to become a reality, which is why we are dedicated to making software creation accessible to all. Our innovative AI visual development platform allows anyone—whether a first-time entrepreneur or part of a large enterprise team—to transform an idea from concept to a fully functional, scalable application across web, iOS, and Android. And the best part? You can do it all without writing or managing a single line of code.As the only comprehensive full-stack, cross-device no-code platform in existence, Bubble serves over 5 million users in more than 100 countries, breaking the barriers to entrepreneurship and innovation worldwide.Our Achievements:Our product is not just functional; it’s thriving. Entire VC-backed companies have been successfully built using Bubble. After discovering product-market fit and eight years of bootstrapping, we secured a $100 million Series A investment and established ourselves as one of the fastest-growing companies in New York’s tech ecosystem.With Bubble, you can build virtually anything—and our community exemplifies this. Beyond merely launching products, users are transforming their visions into real businesses. For instance, Mailead turned a $10,000 investment in a Bubble product into a $2 million valuation, while Faceless.video achieved over $1 million in annual recurring revenue in under a year, among numerous other success stories.About Our Team:We are expanding our AI Engineering Team to pioneer next-generation AI-powered development workflows. Our objective is to facilitate AI-assisted full-stack development, empowering users to describe their applications in natural language while AI generates, modifies, and enhances their apps seamlessly. As a Senior AI Software Engineer, you will play a key role in shaping and developing the future of AI-powered development at Bubble. Your responsibilities will include working on LLM-driven product features, designing agentic workflows, and developing private models trained on proprietary Bubble datasets. Collaboration with product, infrastructure, and research teams will be essential as we push the boundaries of AI-driven development.

Join Veeam Software as a Senior Sales Engineer specializing in Data & AI Security. In this pivotal role, you will leverage your extensive technical expertise to support our sales team, ensuring the successful delivery of data protection solutions to our clients. Your ability to communicate complex technical concepts in an accessible manner will be crucial as you engage with customers and stakeholders.

CVector is dedicated to revolutionizing economic optimization and AI-driven predictions across energy and manufacturing sectors.Our technology seamlessly integrates critical decision-making factors that impact cost, reliability, and profit margins, providing a unified decision layer that forecasts future scenarios, simulates potential outcomes, and optimizes operational strategies. This allows industrial plants to operate closer to their maximum economic potential daily.This position requires in-office attendance at our New York City headquarters four days a week. CVector serves clients nationwide and operates in challenging industrial environments.Role OverviewAs a Senior Software Engineer specializing in Backend and AI Infrastructure, you will be instrumental in advancing CVector’s backend platform. Your focus will be on developing time-series data systems, AI-enhanced analytics, cloud infrastructure, and data ingestion pipelines that underpin our client-facing applications and internal modeling tools.This role is ideal for engineers who thrive on working closely with data and infrastructure, possess excellent architectural judgment, and are eager to engage with AI systems, databases, and distributed backend services. You will take ownership of complex systems, lead significant technical migrations, and influence the integration of intelligence into industrial energy workflows.You will work in close collaboration with product, modeling, and frontend engineers, significantly impacting the platform's direction, reliability, and scalability for the long term.Key ResponsibilitiesAs a Senior Software Engineer, your contributions will span various interconnected domains:Intelligent SystemsTranslate customer domains and operational workflows into effective prompts and AI system interfaces.Design, implement, and refine evaluations for AI outputs.Incorporate customer feedback and reinforcement signals to enhance system performance.Optimize context selection, retrieval, and trace collection to elevate output quality.Fine-tune smaller models using collected traces to enhance speed while maintaining performance standards.Evaluate and assimilate new AI platforms and models as they emerge.Support the training and deployment of large, time-series-specific models.Backend Platform and Data InfrastructureOversee migrations and enhancements of our time-series data schemas and storage systems.Update and manage PostgreSQL and associated database infrastructure.Develop and sustain data connectors for industrial and external systems.Lead improvements to MQTT-based data ingestion pipelines.Transition PostgREST to a GraphQL-based framework and evolve our API architecture.

Role Overview adonis is hiring a Senior Software Engineer focused on the Data Platform in New York City. This role centers on building and refining data solutions that help the company serve clients better. The position calls for hands-on leadership in developing and optimizing data systems. What You Will Do Lead the design and improvement of data architectures for the platform Collaborate with teams across the company to deliver reliable data solutions Implement analytics tools and processes that support business insights and decision-making Collaboration This role works closely with colleagues from engineering, analytics, and other departments to create and maintain data systems that meet business needs.

About Take2 AITake2 AI is at the forefront of revolutionizing the hiring landscape by developing AI Interviewers that streamline the entire recruitment process. Our innovative technology automates resume reviews, conducts structured phone screenings, and efficiently schedules follow-up steps.We proudly serve leading healthcare organizations, enabling hospitals and health systems to expedite hiring, minimize recruiting overhead, and swiftly fill essential clinical roles.Faster hiring translates to improved patient care, reduced staffing gaps, and decreased burnout, creating positive ripple effects throughout the healthcare system.Currently, we power thousands of candidate conversations each month, and as we scale to millions, we are poised to transform the healthcare workforce infrastructure.About The RoleWe are seeking a talented Senior Software Engineer with extensive expertise in Voice AI and robust backend engineering capabilities.You will work on our real-time voice agent pipeline (VAD + STT → LLM → TTS), which currently supports thousands of candidate interactions monthly. As we grow, you will address challenges related to low latency, high reliability, and large-scale architecture, significantly influencing the evolution of our platform.This hands-on, highly technical role is ideal for individuals who thrive in a startup environment and are eager to take ownership from design through production, leading technical execution and direction.

At Bubble, we are on a mission to democratize software development, enabling anyone with an idea to bring it to life. Our innovative AI-powered visual development platform allows users—from first-time entrepreneurs to seasoned enterprise teams—to transform concepts into fully functional applications across web, iOS, and Android, all without the need for coding. With over 5 million users spanning more than 100 countries, Bubble is the premier cross-device no-code platform, dismantling barriers to entrepreneurship and innovation worldwide.Our Achievements:We take pride in our thriving product ecosystem, with numerous VC-backed companies having been built entirely on Bubble. Following eight years of bootstrapping and finding product-market fit, we successfully raised a $100 million Series A, positioning us as one of the fastest-growing companies in the New York tech landscape. Bubble not only facilitates product launches but empowers individuals to transform their ideas into successful businesses. For instance, Mailead turned a $10k investment into a $2M valuation, while Faceless.video achieved over $1M in ARR in under a year, among numerous other success stories.About Our Team:We are excited to expand our AI Engineering Team to forge the next generation of AI-enhanced development workflows. Our vision is to facilitate AI-assisted full-stack development, empowering users to articulate their applications in natural language and enabling AI to generate, modify, and enhance their applications seamlessly.As a Senior Software Engineer specializing in AI/LLM, you will be instrumental in shaping the future of AI-driven development at Bubble. You will work on feature development driven by large language models (LLMs), design agentic workflows, and develop proprietary models using Bubble’s unique datasets. Close collaboration with Product, Infrastructure, and Research teams will be key to pushing the boundaries of AI-infused development.In this role, you will:Enhance LLM reasoning and retrieval techniques to elevate Bubble’s AI-driven development tools.Design and implement innovative workflows that leverage AI for seamless software development.

Databricks builds the data and AI infrastructure that helps organizations solve complex problems, from modernizing transportation to accelerating medical research. The platform supports teams in uncovering insights and improving operations through advanced data and AI tools. Role Overview This Senior Software Engineer position sits within the New York City Engineering office. The team focuses on creating new products from the ground up, using Databricks’ strengths in data and AI to build specialized AI applications for both technical and business audiences. The environment combines the energy of a startup with the backing of Databricks’ established resources. What You Will Do Design and build advanced interfaces for Generative AI agents that handle complex workflows, ensuring transparency and human oversight. Work closely with product managers, designers, and engineers to deliver intuitive, scalable solutions that drive user and business growth. Contribute hands-on as a full-stack developer, delivering user-centered experiences. Develop features that support product-led growth, including seamless onboarding and sharing tools. Help define the direction of agent-based applications at Databricks, collaborating with cross-functional teams. Lead the design, development, and maintenance of end-to-end AI systems that are reliable, scalable, and efficient.

At Genius Sports, we are pioneering a new era in sports engagement by combining advanced technology with the highest quality live data. Our goal is to create immersive, interactive, and personalized experiences for sports fans around the globe. Learn more about us here. geniussports.com.Position Overview - Senior Software Engineer, Data PlatformWe are seeking a Senior Data Platform Engineer to architect and scale the core systems that underpin our data ecosystem. In this pivotal role, you will lead the design and modernization of our data infrastructure, empowering teams throughout the organization to swiftly, reliably, and securely access and utilize data. You will spearhead significant platform initiatives from inception to production, carefully navigate architectural decisions, and closely collaborate with product teams and cross-functional stakeholders to drive engineering strategy.This role is perfect for a technically adept leader with extensive experience in distributed systems, modern data lakehouse and streaming architectures, and large-scale data operations. A strong passion for mentorship, technical excellence, and creating systems that yield substantial business impact is essential.Key ResponsibilitiesDesign, construct, and oversee the foundational systems and features of the Data Platform, facilitating internal teams' ability to access and utilize data efficiently and securely.Lead the modernization of our data infrastructure while managing technical complexities and making informed architectural decisions to enhance our foundation and boost organizational productivity.Act as a technical leader for extensive Data Platform initiatives, influencing architectural choices and engineering direction in collaboration with product and cross-functional teams.Mentor junior and mid-level engineers, enhancing their skills and preparing them for greater responsibilities.Stay informed on emerging technologies and industry advancements in data systems and platform development.

About AtriaAtria Health is a pioneering membership-based preventive healthcare practice that provides state-of-the-art primary and specialty care across New York, South Florida, Los Angeles (anticipated in 2026), and globally via 24/7 telemedicine services.Our dedicated team of over 60 leading physicians specializes in delivering proactive, preventive, and precision care tailored to the unique needs of Atria members and their families. We are committed to enhancing both lifespan and healthspan through comprehensive screenings, innovative therapeutics, and customized interventions aimed at disease prevention and early detection.Each member's healthcare journey is guided by a dedicated Chief Medical Officer collaborating with specialists in various fields, including cardiology, neurology, pediatrics, women's health, endocrinology, integrative health, performance and movement, nutrition, and more.Through the nonprofit Atria Research Institute and Public Health Institute, we are also focused on expediting the application of medical breakthroughs and broadening access to preventive care for a greater number of individuals.Atria Health is on the lookout for a Senior Software Engineer to join our Data Engineering team. This senior role will be instrumental in advancing our data infrastructure, pipelines, and analytics platforms. You will be responsible for designing and constructing scalable data systems, mentoring fellow engineers, and collaborating with cross-functional product teams (Clinical Experience, Member Experience, and Care Delivery) to ensure the delivery of reliable, high-quality data that informs insights and decision-making. Your contributions will be critical in supporting Atria's long-term research goals and empowering our physicians to extract innovative clinical insights. You will take ownership of intricate data initiatives from conception through execution while establishing best practices that enhance the entire engineering organization.Technology StackLanguages: Python, SQLData Processing: Dagster, dbtInfrastructure: Google Cloud Platform, Terraform, Kubernetes, DockerData Storage: Snowflake, PostgreSQL, MySQLStreaming: Pub/Sub, KafkaCI/CD: GitHub ActionsMonitoring & Observability: Datadog, Grafana, OpenTelemetryKey ResponsibilitiesData Infrastructure & PipelinesDesign, build, and maintain scalable data pipelines and ETL/ELT workflows.Contribute to the ownership and enhancement of our Snowflake data warehouse architecture.Implement data modeling best practices to cater to analytics and reporting requirements.Lead initiatives to enhance data quality, including validation, testing, and monitoring frameworks.Cross-Team CollaborationCollaborate with product engineering teams to create data contracts and integrate data capture into applications.Work closely with Analytics and Business Intelligence teams to comprehend reporting needs and deliver reliable data solutions.

Join CoreWeave as a Senior Software Engineer specializing in Applied AI. In this pivotal role, you'll leverage cutting-edge technologies to develop innovative AI solutions that drive our business forward. You will collaborate with cross-functional teams to design, implement, and optimize AI algorithms and systems. Your expertise will help us push the boundaries of what's possible in AI and contribute to our mission of revolutionizing the cloud infrastructure landscape.

At Authentic Insurance, we empower insurance brokers to develop exceptional insurance products tailored to the needs of their clients. Our innovative technology platform and comprehensive support enable brokers to create custom insurance solutions for specific industries and customer segments. Essentially, we serve as the backbone of these specialized insurance offerings, allowing brokers to provide unique products that set them apart from competitors. This not only enhances their revenue potential but also minimizes the time spent on administrative tasks and paperwork. We take on the complexities of technology, compliance, and partnerships with top-rated insurance carriers, enabling brokers to concentrate on delivering unparalleled service to their clients and expanding their businesses.Key ResponsibilitiesLead the design and execution of data pipelines and infrastructure that fuel underwriting models, claims processing, and operational reporting, overseeing the process from initial problem identification to final delivery.Manage the data warehouse architecture, making informed decisions that optimize analytical performance, meet operational demands, and ensure long-term scalability.Establish technical standards and best practices for data modeling, pipeline development, and data quality across the engineering team.Identify and resolve bottlenecks in the data stack, developing solutions that enhance reliability, reduce latency, and support business growth.Collaborate with engineering, product, and operations teams to understand data requirements and translate them into effectively designed systems.Create monitoring, alerting, and data quality frameworks to proactively identify issues before they affect downstream users.Promote data governance practices, including documentation, lineage tracking, and access controls to meet regulatory and compliance standards.Mentor and guide team members, fostering their technical growth and encouraging a sense of ownership.

Kepler: AI You Can Trust and VerifyAt Kepler, we recognize that every AI tool comes with its challenges, particularly when it comes to data interpretation. Traditional models often guess numbers, fabricate sources, and provide inconsistent answers, which is unacceptable for professionals making multimillion-dollar decisions.Our proprietary architecture eliminates the problem of hallucination by ensuring that AI accurately interprets intent. Deterministic code retrieves precise figures from source documents, ensuring that our model never produces a number that could be incorrect. Every output is traceable to specific filings, with transparent calculations that are defensible.Currently operational with over 950,000 SEC filings, 14,000 companies, and 40 million documents across 27 global markets, we are trusted by firms that cannot afford to be wrong.While our architecture is domain-independent, our initial focus is on finance—where the need for accuracy is most critical. Future expansions include healthcare, legal, and insurance sectors, utilizing the same system with new data sources. Our vision transcends a single finance product; we are constructing the verification layer for the entire AI ecosystem.Founded by industry veterans Vinoo Ganesh (7 years at Palantir, former Head of Business Engineering at Citadel) and Dr. John McRaven (11 years at Palantir, creator of the analytics engine behind over $100 million in contracts with BP and Airbus, Ph.D. in Physics), we are backed by pioneers from OpenAI, Facebook AI Research, MotherDuck, dbt, and Outerbounds.The RoleAs a Senior Forward Deployed Software Engineer at Kepler, you will serve as the technical architect for our most significant client relationships. Collaborating directly on-site with our key customers—including sophisticated financial firms and research organizations—you will deploy, customize, and optimize our AI-native research platform to meet their unique workflows and requirements.This role embodies our core principle: 'Forward-Deployed with Product DNA.' By embedding directly with clients, you will not only own their outcomes but also contribute to the platform that serves the entire market. Your coding decisions will significantly impact high-stakes research outcomes.Within the first 90 days, you will:Quickly build and develop vertical applications atop our core platform.Engage with Portfolio Managers at institutions managing over $10 billion in assets under management (AUM) to define and construct workflows.Cultivate profound expertise in agentic tooling, products, and technologies.Take ownership of customer engagements from inception to completion.This position is ideal for individuals eager to shape the future of financial research while working closely with the world's leading analysts.

Join our innovative team at Mercury as a Senior Software Engineer specializing in AI Enablement. In this pivotal role, you will leverage your expertise in artificial intelligence to drive transformative solutions that enhance our products and platforms. Collaborate with cross-functional teams to design, develop, and implement cutting-edge AI features that meet our users' evolving needs.We are looking for a candidate who thrives in a fast-paced environment, possesses a strong understanding of AI technologies, and is passionate about creating impactful software solutions. Your contributions will be essential in shaping the future of our offerings and delivering exceptional user experiences.

Who We AreAddepar is a leading global data and AI platform that empowers investment professionals to transform complex financial data into actionable insights. By unifying portfolio, market, and client data, Addepar delivers AI-driven insights seamlessly integrated within investment and client workflows. Serving over 1,400 firms across nearly 60 countries, we manage and advise on assets totaling almost $9 trillion. Our open platform collaborates with approximately 650 software, data, and consulting partners to enhance investment operations for organizations of all sizes and complexities. With a presence in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, and São Paulo, Addepar is committed to supporting clients worldwide.The RoleWe are on the lookout for a Senior AI Engineer to become a pivotal member of our rapidly expanding AI Platform team. This team is dedicated to creating innovative and transformative solutions leveraging AI technology across our product suite.In this high-impact role, you will architect, lead, and execute the core AI capabilities that power our platform. Ideal candidates will thrive at the cutting edge of applied AI, showcasing a constant drive for delivering results. You will manage the complete lifecycle of AI-native products, ensuring the integration of advanced AI systems into robust, scalable, and high-performing production environments.

Join Mutiny as a Senior Software Engineer!At Mutiny, we are revolutionizing the go-to-market (GTM) landscape by developing a premier platform that integrates sales and marketing efforts. Our mission is to empower enterprise teams to close deals with unprecedented speed and efficiency, tackling the challenge of scalability versus effectiveness in marketing. Our innovative solutions leverage AI technology, creative workflows, and robust integrations to provide tailored marketing and sales experiences at scale.We proudly serve a diverse range of clients, including leading B2B companies such as Uber, Amplitude, Qualtrics, and LaunchDarkly, and are backed by renowned investors including Sequoia Capital, Tiger Global, Insight Partners, and Y Combinator.Your RoleAs a Senior Software Engineer in our New York office, you will play a critical role in the development of our Campaign Builder and AI Agent functionalities. These core components enable marketers and sales professionals to create, modify, and launch personalized campaigns for their respective accounts.This position is vital in bringing our vision of an agentic approach to life—enabling enterprise teams to transition from concepts to personalized marketing assets with agility, trust, and high quality. You will work closely with product managers and designers to shape the entire user experience, from AI collaboration to maintaining brand consistency. This role is on-site in NYC, requiring in-person attendance five days a week.Key Responsibilities:Develop across the full technology stack to create an exceptional AI agent that enhances sales and marketing workflows.Utilize advanced AI tools, including cloud-based coding agents and agent networks.Collaborate with design and product teams to implement AI-driven features that deliver tangible customer benefits.Design scalable and resilient systems that accommodate the non-deterministic nature of large language models (LLMs).Contribute to the growth of our engineering team to capitalize on a significant market opportunity.Foster a culture of engineering excellence while working at the forefront of AI innovation.

About Scale AIAt Scale AI, we are dedicated to accelerating the advancement of AI technologies. For over eight years, we have been a frontrunner in AI data solutions, driving groundbreaking developments in areas such as generative AI, defense systems, and autonomous vehicles. Following our recent Series F funding, we are committed to expanding access to frontier data, paving the way toward Artificial General Intelligence (AGI), while enhancing our model evaluation capabilities for both corporate and governmental clients.About Data EngineOur Generative AI Data Engine fuels the world's most sophisticated language models and generative systems through exceptional Reinforcement Learning with Human Feedback (RLHF), human data creation, model assessment, safety measures, and alignment strategies. The data we generate is pivotal in shaping how humanity interacts with AI.Our ApproachDuring the interview process, candidates may be considered for positions across various teams within the Generative AI Engineering division, depending on their interests, skills, and organizational needs. Potential teams include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. Together, these teams drive Scale’s AI data operations—from developing impactful datasets that expand LLM capacities to refining contributor engagement and ensuring data integrity through advanced safety and security protocols. They operate at the intersection of machine learning, operations, and analytics to guarantee the delivery of high-quality data at scale.

Why Join Moonshot AI?Envision a web that autonomously transforms itself to enhance sales, improve conversions, and accelerate growth.At Moonshot AI, we’re pioneering this future by integrating generative AI, extensive data processing, and innovative experimentation into a self-adaptive online ecosystem.As a well-capitalized, early-stage startup with grand ambitions, your role here transcends that of a typical employee — you’ll actively contribute to shaping the company’s technical and cultural foundation. If you've ever aspired to have the freedom of a founder while being supported by elite investors, this opportunity is for you.What You'll Create & LeadIn the position of Staff Software Engineer, you will serve as the technical cornerstone of Moonshot's evolution engine, responsible for designing scalable systems, steering engineering strategy, and mentoring your colleagues.Your work will blend hands-on expertise with high-level architectural insight, transforming visionary ideas into technical realities.You will:Innovate at the forefront of generative AI - develop systems that empower AI to autonomously reason, experiment, and implement tangible changes to the web.Architect the next generation of our experimental engine - ensuring it is scalable, observable, fault-tolerant, and capable of handling millions of daily events.Design and advance our backend infrastructure utilizing Python (Flask-RestX), serverless AWS, and various data pipelines (ClickHouse, Postgres, Kinesis, Firehose, S3).Lead technical strategy - establish our engineering principles and evolve the architecture across microservices, data ingestion, and LLM-driven systems.Mentor and uplift - enhance the skills of senior and mid-level engineers through code reviews, collaborative programming, and detailed design documentation.Collaborate across teams - partner with AI, product management, and data science to translate business objectives into robust systems.Prototype and expand boundaries - rapidly bring concepts to production while balancing experimentation with thoroughness.Enhance performance, security, and reliability as we scale towards SOC 2 certification and enterprise clientele.This role emphasizes technical leadership without the responsibilities of people management: pure design, significant leverage, and complete ownership.