Lead the development of our patient-facing conversational agent
Implement scalable, low-latency systems for voice and multimodal conversations
Work with clinical experts to validate performance and medical accuracy
UpDoc is building the first clinically validated, physician-supervised AI agent that manages chronic diseases. It is an early-stage startup founded by Stanford physicians.
Contribute to the design and evolution of Expression's Agentic AI platform, defining scalable architectures for enterprise AI applications and services.
Architect, deliver, and optimize production-grade LLM services, agent workflows, orchestration layers, and retrieval pipelines.
Provide technical leadership and mentorship, guide architecture reviews, and raise the bar for engineering quality across the team.
Expression provides data fusion, analytics, software engineering, and spectrum management solutions to the US DoD and national security community. Founded in 1997 and headquartered in Washington DC, they have a "Perpetual Innovation" culture and were ranked #1 on Washington Technology's Fast 50 in 2018.
Design, develop, and deploy production-grade AI-powered backend systems.
Integrate large language models and machine learning models into scalable architectures.
Optimize system performance and implement strong testing practices.
Our partner company is building advanced AI-powered systems to create meaningful customer value. The team operates in a high-autonomy, fast-moving environment focused on production-ready AI solutions.
Design, develop, and deploy production-grade AI-powered backend systems integrating LLMs and traditional ML models.
Integrate and optimize vector databases for RAG pipelines, and write clean, well-structured Python code.
Debug complex cross-layer issues and collaborate with product and engineering teams to deliver cohesive solutions.
We are a fast-growing product company integrating cutting-edge AI capabilities into our core offering to deliver exceptional value to customers. Our small, fast-moving team works on practical, real-world AI applications with high autonomy.
Design, build, and maintain scalable Python backend services.
Own features end-to-end from design through deployment and maintenance.
Collaborate with Product, QA, and Engineering throughout the development lifecycle.
Our client is an AI-first product company building an intelligent agent platform that automates complex business workflows. The engineering team maintains mature development practices and a strong culture of ownership, valuing engineering excellence and autonomy.
Design, build, and deploy AI/ML solutions focused on large language models using Python and AWS.
Architect scalable APIs and microservices with FastAPI and integrate LangChain for advanced model interactions.
Collaborate with cross-functional teams to apply math, statistics, or physics knowledge to improve model performance and reliability.
Our client is a rapidly growing, venture-backed AI company helping shape the next generation of intelligent systems by combining human expertise with machine learning workflows. Backed by over $40 million in funding and a expanding global network, they build critical human intelligence infrastructure for the AI economy.
Design, develop, test, and deploy features across front-end (ReactJS) and back-end (Python/FastAPI) layers
Build and maintain RESTful APIs with proper validation, error handling, versioning, and OpenAPI documentation
Develop responsive, accessible front-end interfaces in adherence to Section 508 accessibility requirements
DMI is a leading provider of digital services and technology solutions, headquartered in Tysons Corner, VA. Recognized as a Top Workplace, DMI is committed to delivering secure, efficient, and cost-effective solutions that drive measurable results.
Design, build, and maintain AI-powered features like LLM integrations and RAG pipelines.
Contribute to tooling for AI reliability, including observability and monitoring.
Prototype solutions quickly and work with peers to harden them for production.
Homeward creates financial products that remove uncertainty from homebuying. As a remote-first real estate startup with about 200 employees, we value the Golden Rule, One Team One Dream, and Calm Focus.