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.
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 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.
Work side by side with clients, PMs, and Architects to scope and deploy AI systems.
Build and integrate systems using LLMs, RAG pipelines, agent frameworks, vector databases and related tools.
Debug relentlessly and optimize for reliability in production, not just elegance in code.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Their system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Develop, implement, and validate machine learning and agentic flows.
Drive innovation in modeling approaches while balancing accuracy, efficiency, and interpretability.
Lead the design of benchmarking frameworks, evaluation tools, and metrics.
Federato is on a mission to defend the right to efficient, equitable insurance for all. They are AI-native platform that spans the full policy lifecycle. They move fast, are eager to listen to our users, take a first principles approach to solving problems, and value learning.
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.
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.
Define and evolve the corporate GenAI architecture, ensuring strategic alignment and scalability.
Design and implement intelligent agent platforms, including orchestration and multi-agent workflows.
Define and standardize communication protocols between agents, adopting the Model Context Protocol (MCP).
Getnet is a global technology company specializing in payment solutions for commerce. As part of PagoNxt, the global fintech of Grupo Santander, we operate as an acquiring hub with a strong presence in Spain, Portugal, Brazil, Mexico, Chile, Argentina, and Uruguay.
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.
Build sophisticated multi-agent systems that can reason, plan, and execute complex sales workflows.
Develop systems that maintain conversational context across complex multi-turn interactions.
Build scalable large language model and agentic platforms that enable widespread adoption and viability of agent development within the Apollo ecosystem.
Apollo.io provides sales and marketing teams with easy access to verified contact data and tools to engage and convert contacts in one unified platform. They are a fast-growing SaaS company with over 500,000 companies and millions of users globally, valued at $1.6 billion.
Analyze requirements and propose innovative AI-native solutions to technical problems
Write clean scalable code
Test and deploy features & services
WorkHero is building the AI-powered back office for the skilled trades, starting with the $50B+ HVAC industry. They have exciting traction and just closed a $5M seed round to expand their engineering and product organization, as well as add additional services.
Design, build, and deploy the critical small language models that are foundational to Fastino’s product.
As an engineer, you will own the full lifecycle of our state of the art models, from prototyping and data analysis to deployment and monitoring.
Drive the data strategy to continuously improve model performance by analyzing distribution gaps and contributing to synthetic data pipelines.
Fastino is building the next generation of LLMs, with a team of alumni from Google Research, Apple, Stanford, and Cambridge. They have raised $25M through their seed round and are backed by leading investors including Microsoft, Khosla Ventures, and Insight Partners.
Develop, configure, deploy, and optimize AI agents using Cresta’s AI platform and tools.
Build AI agent integrations with external systems (APIs, databases, CRMs, etc.) to ensure seamless workflow integration.
Optimize AI agent performance (e.g. fine-tune prompts and configurations) and troubleshoot issues in complex enterprise environments.
Cresta helps contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun , the genius behind Google X, Waymo, Udacity, and more.
Design, develop, and deploy robust ML systems and multi-model AI agents that solve real-world retail challenges.
Lead the entire lifecycle, including prototyping, deployment, monitoring, and maintenance using modern CI/CD and containerisation practices.
Build high-performance data pipelines (ETL/ELT) for both training and real-time inference, ensuring our systems are scalable and reliable.
EDITED is the world’s leading AI-driven retail intelligence platform. They empower the world’s most successful brands and retailers with real-time decision making power. Their environment is dynamic and supportive, encouraging team members to take initiative, innovate, and continuously grow.
Architect and implement AI-assisted workflow building capabilities.
Design systems that provide LLMs with the right context.
Develop evaluation benchmarks and automated testing for AI output quality.
N8n is the open workflow orchestration platform built for the new era of AI, giving technical teams the freedom of code with the speed of no-code. They have a diverse team of over 160, working across Europe and the US, and are connected by a shared builder spirit with their center of gravity in Berlin.
Design, build, and ship agentic workflows across multiple domains.
Build multi-step agents capable of autonomous planning, context tracking, memory, tool use, and API orchestration.
Drive technical and architectural decisions to meet product requirements while also anticipating and designing for future needs
Cority helps customers see and prevent risks across their operations in real time. They provide a platform that converges people, data, and AI agents and is trusted by more than 1,500 of the most complex organizations worldwide.
Scope and implement AI Agent deployments, providing strategic advice and execution support to customers and partners.
Leverage knowledge of LLM internals to analyze customer requirements and design precise prompts for reliable, user-aligned behavior.
Fine-tune conversational flows and voice output to align with customer brand standards.
Parloa is a fast-growing startup in the world of Generative AI and customer service. They have over 400 employees in Berlin, Munich, and New York and are expanding globally.
Build Containerized Agent Systems: Design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portability
Expand cagent: Maintain and evolve the open-source cagent project, adding new capabilities for containerized agent deployment and orchestration
Agent Runtime Development: Build robust infrastructure for packaging, deploying, and managing agents in containers
Docker makes app development easier so developers can focus on what matters. They are a remote-first team that spans the globe, united by a passion for innovation and great developer experiences, with over 20 million monthly users and 20 billion image pulls.
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.
Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.
Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.
Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.
Frontier Technology Inc. (FTI) delivers mission-focused solutions to the Department of Defense (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. They help their customers solve complex challenges and achieve mission success by integrating people, process, and technology.