Assist in building and testing AI-powered applications using enterprise LLMs (OpenAI, Anthropic Claude, Google Gemini) under the guidance of senior engineers.
Contribute to the development and testing of retrieval-augmented generation (RAG) systems that ground AI responses in proprietary data.
Participate in rapid POC development cycles, contributing code, documentation, and iterative improvements.
WelbeHealth serves our communities’ most vulnerable seniors through shared intention, pioneering spirit, and the courage to love. We are a mission-driven healthcare organization focused on participant care, innovation, and team culture.
Design and build the trigger system linking GitLab events to AI-powered Duo Flows.
Architect for high availability and throughput in a multi-service environment.
Collaborate cross-departmentally to integrate triggers with the broader agent ecosystem.
GitLab is an intelligent orchestration platform for DevSecOps, enabling organizations to increase developer productivity and improve operational efficiency. With more than 50 million registered users and over 50% of the Fortune 100 as customers, GitLab fosters a high-performance, values-driven culture where every voice is valued and innovation flourishes.
Design and develop scalable AI architectures and machine learning models for business objectives.
Build, train, and optimize AI models, data pipelines, and LLM-powered applications using modern frameworks.
Collaborate with stakeholders to translate strategic goals into AI engineering initiatives and mentor team members.
The company is a technology organization focused on developing intelligent software solutions. It fosters a supportive and collaborative team culture with a focus on innovation and continuous improvement.
Design and deploy scalable AI and machine learning architectures using modern frameworks like LLMs and cloud platforms.
Develop, train, and optimize AI models, data pipelines, and AI-powered services with intelligent agents.
Collaborate with technical and business leaders to define AI strategy and translate business objectives into technical solutions.
They build advanced AI-powered systems for automation and business transformation. They offer a remote-first environment with a culture focused on integrity, respect, innovation, and continuous improvement.
Lead technical execution of complex AI initiatives, designing and delivering ML and LLM systems for patient and provider-facing products.
Own problems end-to-end: scope with clinicians, build datasets, iterate on modeling, and ship to production with monitoring and guardrails.
Develop robust evaluation frameworks including offline benchmarks, human-in-the-loop review, and online experiments to ensure model safety and accuracy.
Curai harnesses artificial intelligence and clinical expertise to make healthcare more affordable and accessible for everyone. They are a small, senior team committed to rigorous research, clinical integrity, and improving health outcomes.
Lead the development and optimization of Large Language Models and Mixture of Experts models.
Collaborate with cross-functional teams to integrate ML models into our platform and conduct cutting-edge research in machine learning.
Mentor junior engineers and contribute to the team’s knowledge sharing and best practices.
webAI is an end-to-end private AI platform that enables enterprises and governments to bring AI to their data, powering specialized intelligence trained on their own knowledge. The company is a dynamic, fast-growing team fostering an exciting and growth-oriented work culture, committed to truth, ownership, tenacity, and humility.
Develop and integrate ML, NLP, and Generative AI models to create smart collaborative solutions.
Build and optimize agentic workflows using LangChain, LangGraph, and similar frameworks.
Collaborate with engineering and product teams to deliver AI-driven features and prototype tools.
We are a technology company building next-generation AI-powered workplace assistants. Our team values innovation, engineering excellence, and continuous learning in an open and supportive environment.
Build and iterate on consumer-facing AI features powered by large language models (LLMs) and generative AI systems
Collaborate with engineers across the AI stack including prompt engineering and agentic workflow optimization
Run structured experiments and monitor production AI systems to optimize latency, cost, and scalability
Quora is a global knowledge sharing platform with over 300M monthly unique visitors, connecting people to share insights and learn. Poe provides a platform for users to chat and build with AI language models. They are a remote-first company with a culture rooted in transparency and experimentation.
Design and deliver advanced AI solutions for legal and compliance operations at enterprise scale.
Build end-to-end AI applications using LLMs, RAG, and agentic frameworks with Python and modern orchestration tools.
Partner with legal stakeholders to identify automation opportunities and develop secure, scalable production systems.
Jobgether uses AI-powered matching to connect candidates with hiring companies, streamlining the application process. They operate remotely and focus on efficient, technology-driven recruitment.
Understand how client organisations operate and identify opportunities where AI can create measurable business value.
Lead discovery sessions and solution design activities with business stakeholders.
Configure AI agents, knowledge structures and governance within PIPE44.
SPACE44 deploys PIPE44, an AI operations platform, inside client environments to embed AI into the way they operate. The company builds, operates, and continuously improves AI capability within clients' businesses, owning outcomes and staying long-term.