Design and build the AI execution platform with event-triggered workflows and model-agnostic runtimes.
Develop evaluation layers with golden test suites and safety checks to ensure AI reliability.
Implement governance mechanisms and build AI agents supporting business workflows.
Jobgether is a platform that connects talent with opportunities using AI-powered matching. The company has a globally distributed team and a remote-first culture.
Own the technical path from customer interest to working deployment, integrating the platform into production AI environments.
Build and operate AI/MLOps pipelines, debug complex environments, and create prototypes and demos.
Translate customer needs into product improvements, partnering with Sales, Product, and Engineering.
Neuromorphic Labs is a Seed-stage AI startup building a trust layer for production AI, making security, governance, and control intrinsic to every model and deployment. Backed by top-tier VCs, the team is small and fast-paced, emphasizing ownership, high standards, and collaboration with exceptional builders.
Design, build, and operate high-load distributed backend services powering the company's ML infrastructure.
Take end-to-end ownership of core ML services and data pipelines from design to deployment and continuous improvement.
Partner with ML and product teams to understand their needs and turn them into reliable, reusable platform capabilities.
Constructor is an AI-first e-commerce search and discovery platform that helps shoppers find products and enables brands to drive revenue. The company is fully remote, diverse, and values ownership and collaboration.
Own end-to-end delivery quality for major engagements, translating ambiguous client needs into practical execution plans.
Lead solution architecture and technical decision-making, making pragmatic tradeoffs between speed, quality, and client value.
Build and ship production AI/ML systems using Python, ML frameworks, and cloud-native infrastructure while mentoring other engineers.
Eliza is a technology services company and Advanced-tier OpenAI partner that helps organizations build and deploy AI solutions, from generative AI to predictive analytics. They are a collaborative, mission-driven team focused on real-world AI impact.
Design and develop scalable backend services (Python, FastAPI) powering the AI platform.
Build and optimize RAG pipelines, AI agent systems, and orchestration of LLM models in production.
Manage cloud infrastructure (AWS/Azure) including multi-tenant isolation and serverless functions.
A dynamic startup building a modern B2B AI platform powered by autonomous agents. The company focuses on eliminating tedious analytics for enterprise teams through flexible architecture and advanced workflows.
Contribute to the Platform Readiness team's agentic workflows on the Duo Agent Platform, designing and implementing automated evaluation of platform readiness.
Evolve the platform requirements knowledge base by contributing to schema design, validation tooling, and CI systems for cross-platform readiness.
Build integration surfaces that enable feature teams to engage with platform readiness tools directly in their existing workflows like issues, merge requests, and CI/CD pipelines.
GitLab is the intelligent orchestration platform for DevSecOps, enabling organizations to increase developer productivity and accelerate digital transformation. With over 50 million registered users and trust from 50% of the Fortune 100, GitLab fosters a high-performance culture driven by values and continuous knowledge exchange.
Build and deploy AI-powered solutions using LLMs and automation frameworks across business and engineering teams.
Support model evaluation and cost visibility for AI/LLM spend and tooling.
Maintain agent infrastructure and deliver training and enablement to improve AI fluency across the organization.
ClickHouse is a real-time analytics and data warehousing platform that also handles observability and AI workloads. The company has over 4,000 customers and is rapidly growing, with a culture of ownership and innovation.
Design, build, and operate scalable backend services, APIs, and data pipelines for ML-driven personalization.
Improve reliability, performance, and observability of production ML systems, including model versioning and safe rollout.
Collaborate with data scientists and product engineers to translate business needs into robust technical solutions.
Hungryroot uses AI to build a consumer-centric food and wellness company, acting as a personal assistant for healthy living by recommending and delivering healthy groceries, recipes, and supplements. They are a distributed team across 28+ US states with a remote-first culture emphasizing collaboration, flexibility, and an annual company retreat.
Own the ML/AI platform including training infrastructure, model serving, inference pipelines, and production integration.
Drive the GenAI/LLM strategy including retrieval architectures, evaluation harnesses, and agentic workflows.
Partner with data scientists, DevOps, and backend engineers to productionize models and define API contracts.
SavvyMoney is a US-based financial technology company providing integrated credit score and personal finance solutions to over 1,600 banks and credit unions throughout the United States. The company was recognized as a 'Top 25 Places to Work' in the San Francisco Bay Area and is an Inc. 5000 Fastest Growing Company.
Work directly with customers to understand workflows and build production-ready AI applications.
Contribute to core platform and customer-specific integrations, applying AI/ML and LLM techniques.
Own delivery from prototype to production, including architecture, backend services, and deployment.
Trase Systems, founded in 2023, is an AI company that simplifies enterprise AI adoption. It tops the Hugging Face GAIA Leaderboard and serves complex industries such as Healthcare, Oil & Gas, and National Security.
Build and deploy AI-enabled applications and enterprise solutions using Python, Azure, and LLM APIs.
Integrate AI workflows with Microsoft 365, SharePoint, and enterprise data systems.
Implement security controls, testing, and CI/CD processes for production-ready AI solutions.
Atlas Technica provides IT management, user support, and cybersecurity for hedge funds and investment firms. Founded in 2016, the company has grown through a focus on service and values ownership, execution, growth, intelligence, and camaraderie.
Own core platform functionality end-to-end, from design to delivery
Innovate on features the industry hasn't seen before — genuine 0→1 work
Collaborate with a small, senior team and coordinate with supporting engineers
They build an AI-first critical event management platform that monitors 911 radio and social media to deliver verified threat alerts in seconds. Founded in 2023 by public-safety veterans, this seed-stage company is backed by top-tier investors and has a small, senior core team.
Drive AI platform architecture and execute the long-term roadmap for machine learning and generative AI.
Lead AI infrastructure vision including end-to-end training, fine-tuning, and low-latency inference platforms.
Set engineering excellence standards for the full AI/ML SDLC and mentor senior engineers.
Lyra Health is a leading provider of evidence-based mental health care, serving over 20 million people globally. The company operates with a focus on transformative care and has delivered over 15 million sessions, employing a large team that includes engineers, data scientists, and clinical professionals.
Design and build reusable platform capabilities for LLM applications, AI agents, RAG, and tool calling.
Develop scalable data pipelines and secure integrations connecting AI applications to enterprise systems.
Establish technical standards for AI deployment, observability, evaluation, and lifecycle management.
Jobgether uses AI-powered matching to connect candidates with roles. They operate as a global, fully distributed international team with colleagues across multiple countries, offering a collaborative and inclusive environment.
Ship the agent platform to production: event-triggered queue, model-agnostic runtime, durable state, human review gate, atomic rollback, and complete run logging.
Own the evaluation layer with golden suites, behavioral assertions, safety cases, and a CI gate that blocks regressions before merging.
Enforce governance in code: risk tiers, least-privilege credentials, permission gates, audit log, and autonomy classes where dangerous actions are structurally impossible.
Supabase is the Postgres development platform providing a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. With ~400 team members across 60+ countries, we are a born-remote, open-source-first company that builds tools developers love.
Design, build, and maintain core AI capabilities that power intelligent experiences across the platform.
Develop reusable capabilities for model integration, reasoning, and evaluation.
Optimize AI systems through experimentation, quantitative evaluation, and iterative refinement.
Legion embeds intelligence inside complex systems, unlocking data and accelerating human workflows for government and enterprise. They collaborate with world-class partners like Palantir and Nvidia, building intelligent infrastructure with a team of bold thinkers.
Build and improve products and infrastructure for AI-powered teams.
Contribute across multiple product areas, including CI infrastructure and agentic applications.
Take ownership of projects from concept through delivery, with a focus on usability and quality.
Our partner is an early-stage engineering team building infrastructure and tools that help AI-powered teams work more efficiently. It is a high-growth, profitable startup with a small, high-impact team.
Build and ship AI-powered tools and agents across the full stack, including API integrations and backend services.
Deploy and manage solutions in Azure and AWS, handling monitoring, capacity, and incident response.
Collaborate with stakeholders to scope requirements and deliver production-ready solutions.
Revalize empowers manufacturing businesses with CPQ, PLM, and design solutions. It serves over 16,000 global customers and is a portfolio company of TA Associates and Hg.
Build and operate high-throughput production services for AI agent orchestration and real-time data pipelines.
Design and scale core platform services across the Superhuman product suite.
Collaborate with ML/AI, Product, and Front-End engineers to ship AI-powered features end to end.
Superhuman is the AI productivity platform on a mission to unlock the superhuman potential in everyone. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide.
Lead a team of platform engineers to build and operate ML training and serving infrastructure, including GPU and low-latency serving.
Combine strong people leadership with technical judgment in ML infrastructure, partnering with senior ICs and cross-functional teams.
Drive delivery, operational health, and evaluate modern ML tooling to support company-wide ML priorities.
Affirm is reinventing credit to make it more honest and friendly, offering buy now pay later solutions without hidden fees. It is a remote-first company with a strong engineering culture, prioritizing people and providing competitive benefits.