AI/ML Systems Software Engineer

Your OpportunityJoin our innovative team at LM Studio as a Software Engineer specializing in AI/ML Systems. We seek a dynamic individual who thrives at the crossroads of machine learning and systems engineering, enjoys tackling complex challenges, and is dedicated to crafting exceptional products.In this role, you will be responsible for developing and enhancing on-device inference engines and integrations for local large language models (LLMs) and advanced AI technologies within LM Studio. You will design and maintain the runtime that facilitates on-device model inference, provide immediate support for new models on launch day, and optimize performance across diverse hardware setups.Collaboration is key here. You will engage closely with model authors and upstream open-source communities (such as llama.cpp, MLX, and others) to ensure that LM Studio users access cutting-edge AI experiences.If you're passionate about bridging the gap between models and systems and care about delivering outstanding local AI-powered experiences for both users and developers, this position could be your next great adventure!

Standard Template Labs is an innovative startup operating in stealth mode, dedicated to revolutionizing IT Service and Configuration Management through AI technologies. Supported by prominent investors, we are at the forefront of integrating AI, graph-based architectures, and cutting-edge design to transform enterprise technology management.About the Role:We are seeking a Staff Software Engineer who excels at the crossroads of AI systems design, large-scale distributed infrastructure, and product innovation. In this role, you will spearhead technical projects that manifest AI-native functionalities—developing resilient, scalable systems that incorporate LLMs, data-driven automation, and graph intelligence into enterprise processes.This position is ideal for a hands-on leader who is not only proficient in coding but also adept at mentoring others and shaping technical strategies in an AI-centric environment.Key Responsibilities:AI-Driven Systems EngineeringCraft and implement AI-native architectures that integrate LLMs and intelligent automation into ITSM and CMDB workflows.Utilize LLMs, embeddings, and retrieval pipelines to enhance natural language interfaces, knowledge synthesis, and reasoning within our platform.Collaborate with product, design, and data teams to embed AI throughout the product experience—from backend systems to user-facing features.Technical OwnershipTake end-to-end ownership of intricate systems: design, architecture, deployment, and reliability in production.Navigate architectural choices while balancing immediate performance with long-term scalability and sustainability.Contribute to defining our AI-first engineering stack and methodologies for prompt orchestration, model integration, and continuous learning.Hands-On EngineeringDevelop clean, scalable, and testable code that pushes the boundaries of AI-enabled systems.Design and enhance distributed, event-driven systems and APIs capable of handling data and inference at scale.Perform in-depth code reviews and optimize performance across high-traffic production environments.

At Artemis, we are pioneering the future of AI-powered defense systems to empower businesses to effectively detect and counter threats in a landscape where AI combats AI on the cyber frontlines.We are supported by esteemed investors such as First Round Capital and Brightmind, alongside a coalition of leading operators in the cybersecurity sector.Our visionary founders, Shachar (former leaders at Palo Alto Networks, AWS, Demisto) and Dan (ex-Abnormal Security, Twitter) have successfully built, launched, and scaled cybersecurity solutions that have earned the trust of thousands of clients, leveraging deep expertise in customer needs, technology, and security to realize our ambitious vision.Our diverse and highly skilled team comprises software developers, AI researchers, security experts, and product designers from industry giants like Google, Abnormal AI, Wiz, Meta, AWS, CERN, and SentinelOne.As we expand our footprint, we are seeking passionate innovators to join our mission and enhance our growing clientele.Job OverviewArtemis is at the forefront of analyzing vast streams of data from cloud services, identity providers, network logs, and more. We are constructing a cutting-edge, large-scale AI-native data platform from inception and require outstanding AI/ML Engineers to help shape and realize this vision. You will collaborate with engineers who have designed some of the world’s most significant distributed systems.A key focus of this role involves utilizing agents as the primary classification and reasoning layer across our platform, enabling us to transcend traditional static rules and approaches, allowing for a deeper understanding and response to multifaceted security data.This position offers substantial responsibility and impact. You will engage with crucial components of our system, from LLM-powered classification and detection to extensive data processing and management.

About SciemoSciemo is at the forefront of AI innovation for consumer goods, providing technology that empowers businesses to make more informed, rapid, and human-centric decisions throughout the Integrated Business Planning (IBP) process. Our platform effectively transforms disorganized, isolated data into significant business outcomes. Through real-time assistance from our AI agents, we simplify complexity, enabling decision-makers to focus on what truly matters. Our headquarters is located in New York City.OverviewAs a leading startup, Sciemo is dedicated to advancing AI solutions for consumer brands. Utilizing machine learning, generative AI, agent-based systems, and graph technologies, we enable our clients to extract insights within seconds and achieve business impacts in minutes through our innovative products.We are seeking a Founding Member of Technical Staff to join our team, overseeing the development and deployment of sophisticated ML systems, reporting directly to Dan Wald, our Co-Founder & Chief AI Officer.RoleIn this dual capacity as a Data Scientist and Machine Learning Engineer, you will be instrumental in crafting, developing, and deploying the intelligent solutions that power our AI products. Your expertise will span the full spectrum of applied AI, including data science, machine learning, and large-scale production engineering. This role necessitates a combination of innovative model development and the engineering aptitude to deploy and sustain these models within robust, scalable infrastructures.You will collaborate closely with data engineers, product leaders, backend developers, and customer-facing teams to ensure our AI systems yield tangible value in real-world applications. As an early technical hire, you will help shape our AI strategy, establish technical standards, and create best practices for scalable applied AI.ResponsibilitiesDevelop and deploy AI systems that include:Architecting, building, and deploying ML/GenAI products on cloud infrastructure (AWS or equivalent).Designing and implementing end-to-end AI workflows: data ingestion, feature engineering, modeling, evaluation, and deployment.Creating automated pipelines for continuous learning, model promotion, and performance monitoring.System architecture and reliability:Leading the design of ML orchestration frameworks (such as Airflow, Kedro, ZenML, Flyte) to ensure reproducibility and reliability.

Join Profound in our quest to empower businesses to effectively manage their AI landscape. As an AI and ML Engineer, you will be instrumental in the design, development, and deployment of advanced Natural Language Processing (NLP) and Large Language Model (LLM) systems. Your work will enhance classification, ranking, clustering, topic discovery, and content generation capabilities. You will oversee complete workflows from data acquisition to deployment, collaborating with cross-functional teams to transform genuine user interactions into impactful product features and content that enhances visibility, engagement, and conversion rates.ResponsibilitiesDevelop and implement scalable NLP models for classification, ranking, clustering, topic extraction, and summarization.Design end-to-end LLM workflows for generating contextually relevant content, covering topic discovery, brief creation, outlines, drafts, revision cycles, and publish-ready assets.Create prompt and template libraries that align with brand voice for various formats, including blogs, landing pages, help documentation, and advertisements, ensuring evidence-based generation and citation retrieval.Establish evaluation frameworks for generated content, focusing on factual accuracy, coverage, tone, safety, and originality, using rubric-based evaluations and human-in-the-loop reviews.Monitor content performance across SEO and AEO metrics, engaging in experiments to enhance quality, reduce costs, and minimize latency.Transform extensive text datasets into production-ready features and signals that provide valuable product insights.Collaborate with engineering teams to instrument events, maintain data pipelines, and ensure high data quality and observability.Work closely with product, data, and go-to-market teams to define success metrics and conduct experiments that positively influence customer-facing KPIs.QualificationsDemonstrated experience in deploying machine learning systems at scale, particularly with large textual datasets.Practical experience in developing LLM content systems, including prompting, templating, retrieval-augmented generation, guardrails, and evaluation mechanisms.Proficiency in SQL and strong skills in Python alongside modern machine learning tools.In-depth understanding of machine learning quality metrics, capable of designing both offline and online evaluations and monitoring systems.Creative problem solver, capable of innovating when standard solutions do not meet requirements.Experience in cross-functional, high-performance teams, effectively contributing to diverse projects.

Role Overview Sigma Computing is building the next generation of data interaction. The platform lets users explore billions of data rows in seconds, work with data in a familiar spreadsheet-like interface, and build visualizations, applications, and workflows. Sigma is now expanding these capabilities with AI to help users create, discover insights, and make decisions faster. The Senior AI/ML Engineer will join a team focused on developing the AI infrastructure that shapes Sigma’s future. Work here directly impacts how enterprises use Sigma in their daily operations. Location This position is based in New York City, NY.

Join Norm Ai as a Software Engineer in Applied AIAt Norm Ai, a trailblazer in Legal & Compliance AI, we manage a client portfolio exceeding $30 trillion in assets. Our innovative approach transforms legal codes into AI solutions, enabling businesses to enhance their legal and compliance operations with speed and reliability.Our cutting-edge platform merges advanced AI technology with proprietary legal reasoning systems and in-depth legal expertise, ensuring robust compliance and operational efficiency.Backed by industry giants including Blackstone, Bain Capital, and Vanguard, we have successfully secured over $140 million in funding to accelerate our growth. Our pioneering Legal Engineering initiative trains lawyers to develop and oversee specialized AI agents using our no-code tools, creating a new frontier in legal workflows powered by Large Language Models.Our technology is utilized by some of the world’s leading institutions, and we are rapidly expanding our team across various departments.Fluency in AI Required:All team members at Norm Ai are expected to be proficient in AI, utilizing it daily to enhance their work processes. Candidates should be ready to showcase their practical AI experience, including tools and outcomes, during the interview process.Your Role:As a Software Engineer specializing in Applied AI, you will be responsible for designing and developing enterprise-level AI agents to streamline complex legal and compliance workflows. This is a hands-on role where you will collaborate closely with software engineering, legal engineering, and product teams to enhance the capabilities of our automation platform.

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.

Join the Bevel TeamAt Bevel, we are innovating the future of health management with our cutting-edge AI Health Companion. Our app integrates data from multiple facets of health, such as sleep, recovery, activity, and nutrition, to provide users with real-time, personalized insights. Whether you’re training for a goal or simply aiming for better well-being, Bevel empowers you to navigate your health journey with confidence and clarity.Based in New York City, we are a passionate team of builders and creatives dedicated to our mission. We believe in the importance of balance in both work and life, knowing when to push hard and when to step back and recharge.Since our launch last year, Bevel has experienced remarkable growth and received incredible support from our users. We are on the lookout for exceptional Senior Backend Engineers to help us execute on an ambitious roadmap. This is your chance to influence the future of Bevel and take full ownership of your projects.

OverviewTetrix is an innovative startup dedicated to revolutionizing how institutional investors navigate alternative markets. Our cutting-edge AI-driven platform converts chaotic, unstructured private market data into actionable real-time insights. By integrating automated document retrieval, AI-empowered data extraction, and dynamic portfolio analytics, we offer a unified solution that defines the future of financial market infrastructure. Our rapid growth positions us as a leader in the industry, with partnerships among top-tier capital allocators and backing from prominent investors including Innovation Endeavors, Eric Schmidt’s VC firm, and industry veterans from BlackRock, CPPIB, SoftBank, Lending Club, and Plaid. Who We AreWe are a compact yet impactful team with extensive experience in both financial markets and advanced technologies. Our culture thrives on trust, ownership, and curiosity, where every team member is encouraged to contribute, innovate, and grow together. Our co-founders, Olivier (CEO) and Naunidh (CTO), forged their partnership on their first day at Stanford's MBA program, leading to the establishment of Tetrix in the summer of 2023. Who You AreYou are proactive and hands-on, taking initiative to drive projects forward.You possess a quick learning ability, approaching problems creatively and enthusiastically.You prioritize customer experience in every aspect of your work, from backend decisions to UI enhancements.You thrive in collaborative environments, valuing transparency and effective communication.You bring 5+ years of experience in AI/ML, preferably within fast-paced or entrepreneurial settings; contributions to open-source projects are a plus. What You’ll DoYou will build and optimize machine learning models that enhance our product's capabilities.You will collaborate with cross-functional teams to integrate AI solutions that drive business value.You will contribute to the product development lifecycle, from concept through deployment.

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).

Role Overview Tetrix is hiring a Staff AI/ML Engineer for its New York City office. This position focuses on developing advanced artificial intelligence and machine learning solutions that support both product development and operational improvements. What You Will Do Design and build AI and ML systems to strengthen Tetrix’s product lineup Apply technical expertise to solve complex business challenges Work closely with colleagues to identify opportunities for automation and efficiency Location This role is based in New York City.

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.

About SandbarSandbar is a pioneering technology company based in New York City, dedicated to enhancing human capabilities in an agentic world. Our mission is to empower individuals to think, act, and move with freedom. Our innovative team has developed software, machine learning, and hardware solutions that have been instrumental in the success of leading companies such as Meta, CTRL-labs, Google, Apple, Fitbit, Peloton, and Equinox.Our flagship product, Stream, represents a groundbreaking human-agent interface—a private voice ring and conversational computer. Stream has garnered attention in prestigious publications like the Wall Street Journal, Bloomberg, and Wired, with shipments set to commence in Summer '26.We invite you to join us in shaping a new paradigm for self-augmentation.

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.

Tabs is at the forefront of revolutionizing finance and accounting through our innovative AI-native revenue platform. Our solution automates the entire contract-to-cash lifecycle, including billing, collections, revenue recognition, and reporting, enabling finance teams to minimize manual processes and accelerate cash flow.High-growth companies like Cursor and Statsig utilize Tabs to effortlessly generate invoices directly from contracts, reconcile payments in real time, and ensure compliance with ASC 606.Founded in 2023, Tabs has successfully raised over $91 million from prominent investors such as Lightspeed Venture Partners, General Catalyst, and Primary. Our team, based in New York, consists of experts in finance and artificial intelligence.Our MissionWe empower the one-person finance team with artificial intelligence products that automate accounting operations, communication, and reporting. Our advanced systems relieve finance leaders from the stress of updating contact details for invoices, allowing them to focus on strategic initiatives and business vision.The RoleWe are assembling a dynamic team of innovative product engineers to join our AI division as full-stack developers. This is an in-person role located in New York City.You will take ownership of designing and implementing automation, AI, and ML features from initial concept to release and integration.This role requires forward-thinking engineers who can push beyond pattern matching to uncover new insights and solutions.You will collaborate closely with company leadership and the founding team to deliver high-impact projects that significantly influence our market positioning.Ideal CandidateDemonstrated experience in building greenfield products, achieving 80% accuracy, and learning from the remaining 20%.Proven track record of taking ownership and driving projects to successful completion.A minimum of 3-5 years of full-stack engineering experience directly contributing to product and feature delivery.At least 1 year of experience working with AI and ML technologies.

AI Specialist, KnoxAIPosition Overview: We are seeking a highly skilled AI Specialist to join our dynamic team at Knox Systems. In this pivotal role, you will co-develop, train, and enhance KnoxAI, our proprietary AI technologies that underpin our secure cloud and compliance initiatives.Key Responsibilities: As an AI Specialist, you will be instrumental in designing, building, and refining AI capabilities that facilitate secure cloud operations and automate compliance processes. You will engage in continuous improvement of AI models to ensure they are accurate, explainable, and aligned with customer needs.Collaboration is essential; you will work closely with Engineering, Product Development, Security, Compliance, and Operations teams to convert complex requirements into reliable AI systems. This hands-on role demands ownership and expertise in AI, crucial for succeeding in high-pressure environments.About Knox Systems: At Knox, we lead the largest Federal managed cloud, delivering secure cloud and AI environments that support vital U.S. government missions, from national security to public safety. Our commitment to security, reliability, and compliance is unwavering, and our work is both impactful and visible. Join us in solving high-stakes problems where your contributions will make a difference.

Kepler: AI you can rely on and validate.Every AI system faces a common challenge: it interacts with data, leading to unpredictable outputs. For those making high-stakes decisions, such variability is not a minor issue—it's a dealbreaker.We have developed a framework that eliminates the chances of erroneous outputs. Our AI comprehensively interprets your intentions, while deterministic algorithms extract every statistic from credible source documents. Since the model never generates figures, it can’t produce inaccuracies. Each output is traceable back to its source, with every calculation clearly defined. Our answers are consistently defendable.Operational in real-time across a vast database of 950K+ SEC filings, 14K+ companies, 40M+ documents, and 27 global markets. Trusted by organizations where accuracy is paramount.Our architecture is versatile across domains, with finance being our initial focus due to its critical challenges. Future applications will include healthcare, legal, and insurance sectors. We are not merely creating a financial product; we are establishing the verification backbone for the entire AI ecosystem.Founded by Vinoo Ganesh, a former Palantir executive and Head of Business Engineering at Citadel, alongside Dr. John McRaven, who has a strong background at Palantir and holds a Ph.D. in Physics, our team is backed by prominent figures from OpenAI, Facebook AI Research, and more.Your RoleAs an Agentic Systems Engineer, you will develop the foundational infrastructure that supports Kepler's AI research platform. Your responsibilities will include creating distributed execution frameworks capable of managing thousands of parallel agents, quality evaluation systems, contextual management tools to enhance agent performance, and systems to track the provenance of every output.This position is tailored for engineers eager to innovate at the cutting edge of AI systems, constructing the infrastructure necessary for enterprises to trust their automated agents for critical decision-making.In your first 90 days, you will:Launch your first production agent system with mentorship from senior engineers.Construct and implement infrastructure to facilitate authentic financial research workflows.Witness the impact of your code as agents perform research within leading financial institutions.Take command of a vital agentic system from its architecture to its deployment.

Senior AI Product EngineerAbout Fonzi AIAt Fonzi AI, we are a pioneering Series A startup, backed by Lightspeed, dedicated to transforming the hiring landscape through the power of AI. Established by seasoned entrepreneurs from Kumospace, we launched our innovative AI-driven recruiting marketplace in June 2025 and have quickly become revenue-positive, partnering with nearly 100 employers—over 75% of whom are AI-native companies. Our platform is home to thousands of engineers, and we proudly host Match Days every two weeks, where pre-screened candidates receive competitive offers from leading employers.Our vision is to create an infrastructure where AI comprehensively understands the roles of engineers, their aspirations, and seamlessly matches them with suitable opportunities. We are committed to moving beyond surface-level AI applications and are building toward a future where intelligent systems manage the entire recruiting workflow. We seek engineers who share our passion for this vision and are eager to help shape the future with us.The RoleAs a Senior AI Product Engineer, you will embrace a multifaceted role in this new era of software development. The distinction between "full-stack engineer" and "AI engineer" is rapidly diminishing, and at Fonzi, we have embraced this convergence.You will take ownership of features from inception to deployment: designing database schemas, developing React components, and creating the AI agents that infuse intelligence into our platform. Some weeks, you’ll focus on building robust backend systems; other weeks, you'll experiment with cutting-edge models to develop features that feel transformative. Most weeks, you’ll engage in both aspects.We are in search of engineers who have experienced the "aha moment"—those who recognize that AI fundamentally alters the software development landscape and wish to work at a company where this principle is embedded in every product decision.What You'll BuildAI Agents that facilitate intelligent conversations with candidates, including voice interfaces for onboarding engineers, coaching systems for interview preparation, and adaptive matching algorithms that evolve with each interaction.The Platform powering a two-sided marketplace, utilizing TypeScript/Node.js for backends, React/Next.js for frontends, and PostgreSQL for the data layer, all designed for speed and rapid iteration.AI-Powered Features from conception to production—rapidly prototype using the latest models, strategically balancing cost, quality, and speed, then scale successful features to thousands of users.The Intelligence Layer that enhances our marketplace with each candidate interaction, creating a data flywheel that will establish our competitive edge.

Our mission: to eliminate every barrier to mental health.At Spring Health, we are dedicated to transforming mental healthcare by dismantling obstacles that hinder individuals from accessing the support they require. Our clinically validated technology, Precision Mental Healthcare, allows us to provide timely and personalized care—whether it involves therapy, coaching, medication, or other solutions tailored to individual needs.We proudly collaborate with over 450 companies, ranging from startups to Fortune 500 giants, serving the mental health needs of 10 million individuals. Our esteemed clients, including well-known brands like Microsoft, Target, and Delta Airlines, rely on us for exemplary outcomes for their employees worldwide. With our cutting-edge platform, we have achieved a net positive ROI for employers and are uniquely recognized with external validation of cost savings for our customers.Our growth has been fueled by significant investments from renowned firms including Generation Investment, Kinnevik, Tiger Global, and Northzone, among others. With our recent Series E funding, we have reached a valuation of $3.3 billion, and we are just beginning—join us in making mental healthcare universally accessible.In this pivotal role, reporting to the Senior Director of Product, Customer Value, you will play a key role in shaping and executing the vision for a robust and scalable AI/ML foundation. You will develop the essential machine learning infrastructure and developer platform that powers intelligent features across the organization, enabling product teams to efficiently create, assess, launch, and monitor AI solutions with confidence. This is a hybrid role based in New York City, with in-office presence expected 2-3 days per week at our location on 60 Madison Avenue.