Design, build, and operate LLM-powered systems used in production.
Build scalable agentic AI automation solutions, selecting appropriate patterns based on business requirements.
Make system-level tradeoffs across model choice, latency, cost, accuracy, and operational complexity.
Natera is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health, aiming to make personalized genetic testing and diagnostics part of the standard of care. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions.
Designing, developing, and deploying generative AI models.
Architecting and building agentic systems with autonomous decision-making capabilities.
Integrating generative AI and agentic solutions into existing products and services.
Jobgether is a partner company that focuses on connecting talent with the right job opportunities. Their AI-powered matching process ensures applications are reviewed quickly, objectively, and fairly against the role's core requirements.
Design, develop, and optimize generative AI solutions, including prompt engineering and RAG implementations.
Implement agentic LLM architectures and multi-agent orchestration to generate reliable outputs.
Develop prompt libraries and evaluation frameworks to ensure accurate and secure AI-generated content.
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, they deliver trusted, highly differentiated solutions and technologies to protect our nation and allies.
Design, implement, and evolve RAG pipelines combining structured data, embeddings, and LLMs.
Develop and maintain prompt strategies used across multi-step agent workflows.
Integrate LLMs into production systems with attention to reliability, cost, and latency.
FirmPilot builds AI-powered systems that automate and scale real-world business outcomes. They focus on applied AI, using best-in-class large language models and tooling to deliver reliable, production-grade automation.
Design agentic systems & ship AI to production: Turn prototypes into resilient, observable services with clear SLAs, rollback/fallback strategies, and cost/latency budgets.
Build tool‑using LLM “agents” (task planning, function/tool calling, multi‑step workflows, guardrails) for tasks like grant discovery, application drafting, and research assistance.
Own RAG end‑to-end: Ingest and normalize content, choose chunking/embedding strategies, implement hybrid retrieval, re‑ranking, citations, and grounding.
Instrumentl is a hyper-growth YC-backed startup that provides a SaaS platform to help nonprofits discover, track, and manage grants efficiently. They have over 4,000 nonprofit clients and are cash flow positive, doubling year-over-year, with customers who love them.
Design, optimize, and version prompts for production voice and chat LLM applications.
Architect and orchestrate multi-agent systems for complex conversations.
Build automated testing and validation frameworks for LLM outputs.
Tuotempo transforms healthcare experiences through intelligent digital solutions and is a trusted patient engagement platform powering some of Europe and Latin America's leading healthcare institutions. They have a remote-first culture with vibrant hubs in Bologna or Barcelona.
Build AI-Powered Features: Design, develop, and deploy production-grade AI applications that solve real customer problems.
Architect Scalable Systems: Create robust backend architectures that support AI workloads, ensuring low latency and high reliability.
Drive AI Innovation: Implement and optimize agentic AI systems, RAG pipelines, and multi-agent workflows using modern LLM frameworks.
Procurify is the AI-enhanced procurement and AP automation platform for mid-market organizations. They help organizations take control of spend and save money as a remote-first company with a big heart and a strong ambition to modernize the way organizations manage business spend.
Design and build LLM-powered features—from initial prototyping through production deployment
Architect and implement agentic AI systems, including tool use, multi-step reasoning, and orchestration patterns
Collaborate closely with Engineering, Product, Data, and Design to identify high-impact opportunities for AI integration
Practice Better is an all-in-one platform helping health and wellness practitioners run their businesses, care for their clients, and scale their impact. They are a remote-first team headquartered in Toronto, made up of curious, driven, and empathetic people building tools that help practitioners create sustainable, independent practices.
Design and deliver AI-powered advisors, assistants, and analytic agents.
Build and maintain high-quality, production-ready Python services.
Apply, adapt, and fine-tune foundation models to deliver reliable AI experiences.
Energage helps organizations turn employee feedback into useful business intelligence and credible employer recognition through Top Workplaces. Built on culture research and the results from 23 million employees surveyed across more than 70,000 organizations, Energage delivers the most accurate competitive benchmark available.
Design and implement APIs, services, and infrastructure.
Prototype rapidly and continuously improve system performance.
Podium brings AI Employees to local businesses that turn every conversation into revenue. Trusted by 60,000+ businesses, they have crossed $100M in AI Agent ARR, scaling 300% year-over-year and empowering real business outcomes for their customers.
Design, build, and operate production-grade AI solutions that support GTM use cases.
Lead the technical architecture and implementation of GenAI and ML systems.
Integrate AI capabilities into existing GTM platforms and workflows.
Chainguard is the secure foundation for software development and deployment, providing guarded open source software. Founded by industry experts, they've built the largest library of open source software that is secure by default and value customer obsession, intentional action, and trust.
Implement AI agents primarily in Python, following established architectural principles.
Design and implement agent flows based on graphs, state machines, and/or tool-based orchestration frameworks.
Ensure agents are observable, testable, and production-ready (logs, metrics, traces).
Edify is a consolidated technology services consulting firm specializing in education technology. They deliver creative solutions for corporations, startups, educational institutions, and non-profit organizations. They promote a warm, friendly, and cooperative culture and believe in a balanced work and life.
Design, build, and deploy AI Agents including custom tools, prompt engineering, orchestration workflows, and agent design patterns.
Contribute to the backend infrastructure powering Candidly's AI capabilities, including API development, data integrations, and data pipelines.
Work closely with stakeholders across product, design, engineering, and leadership to translate complex AI concepts into actionable strategies and features.
Candidly, founded in 2016, is the category leader with the market’s most comprehensive AI-driven student debt and savings optimization platform. They partner with hundreds of top employers, financial institutions, and retirement record keepers, positioning Candidly to serve more than 35 million Americans. Candidly is a high-growth, Series B startup, funded by leading investors with an international team of 70 (and counting).
Define and evolve the technical vision for AI and agentic systems across products.
Design orchestration, data, and serving patterns that handle global scale with reliability.
Collaborate with AI Research to turn prototypes into extensible, governed production frameworks.
KnowBe4 is a cybersecurity company that puts security first, empowering over 70,000 organizations worldwide to strengthen their security culture. They value radical transparency, extreme ownership, and continuous professional development in a welcoming workplace that encourages all employees to be themselves.
Build the technical roadmap given a business requirement and own the delivery of the same.
Develop and optimize LLM-based solutions : Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
Codebase ownership : Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
Turing, based in San Francisco, is a research accelerator for frontier AI labs, partnering with global enterprises to deploy advanced AI systems. They accelerate research with data, talent, and training pipelines and build proprietary intelligence systems, recognized among the world's top innovators.
Develop agentic AI systems using frameworks like LangGraph, Crew AI, LangChain, N8N, etc.
Help with data collection, cleaning, and preprocessing for training and improving AI models.
Support the team in integrating various tools and APIs that enable AI agents to interact with external systems.
Coderoad is a software development company that provides end-to-end software development services. They offer opportunities to work on real-world projects and challenge yourself in a supportive environment.
Design and implement AI solutions on the ServiceNow platform
Stay current with emerging AI capabilities and evaluate their applicability to our platform and use cases
Developing solutions specific to user requirements gathered in workshops
ServiceNow is a global market leader bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Their intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work.
Own the LLM + retrieval + context layer that makes copilots accurate and fast.
Design and ship the end-to-end pipeline, improving quality and trust via evaluation.
Reduce cost/latency with a concrete inference optimization plan shipped to production.
Ethos is built to make it faster and easier to get life insurance. They blend industry expertise, technology, and the human touch to find the right policy to protect loved ones and have been named on CB Insights' Global Insurtech 50 list and BuiltIn's Top 100 Midsize Companies in San Francisco.
Design and ship production-grade agentic AI systems that meaningfully improve customer workflows and internal operations.
Establish a clear technical architecture for AI at Moxie, including agent orchestration, tool/function calling and observability.
Integrate AI deeply into the Moxie platform, ensuring AI systems are secure, resilient, cost-aware, and aligned with a regulated environment.
Moxie empowers ambitious aesthetic entrepreneurs to build profitable, independent practices. They are a global, remote-first team of more than 140 people, supporting hundreds of practices nationwide, aiming to unlock sustainable success for aesthetic entrepreneurs.
Own complex, full-stack AI solutions end-to-end, from applied research to production deployment.
Set technical direction for ambiguous and high-impact use cases, while scaling the AI systems.
Mentor others, lead architectural decisions, and deepen Komodo’s AI-first culture.
Komodo Health is dedicated to reducing the global burden of disease by leveraging data. They have built the Healthcare Map, the industry’s largest view of the U.S. healthcare system. At Komodo, employees are ambitious, supportive, and passionate about delivering on its mission.