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.
Drive the technical vision for AI in 360Learning's product and coach AI Engineers as the team grows.
Set technical direction, own architectural decisions, and stay close to the code.
Partner with Product Manager, Product Designer, and Full-Stack Developers to deliver AI features.
We enable companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. Founded in 2013, we have raised $240 million with 400+ team members across North America and EMEA.
Develop geometry processing and simulation algorithms for engineering applications.
Build services for reading, processing, and writing 2D/3D engineering data.
Curate large-scale datasets and optimize post-training workflows for machine learning models.
Foundation EGI is an MIT-born, venture-backed Silicon Valley startup building an AI Copilot for design and manufacturing. The company is small and rapidly growing, with a culture focused on applying advanced AI to real engineering problems.
Build, train, and improve machine-learning models for production use.
Develop evaluation and feedback loops that measurably improve model performance over time.
Evaluate new models and techniques, bringing the best into production.
Allocate transforms private market investing by enabling RIAs and family offices to discover, model, and manage private market exposure. The company provides a platform with curated fund and co-investment opportunities, and values meritocracy, civil discourse, and continuous improvement.
Own end-to-end ML system execution including data pipelines, training workflows, evaluation systems, inference architecture, and deployment.
Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation.
Architect scalable inference systems, balance latency, cost, and reliability, and deploy production-grade ML solutions.
Gina's Tech Jobs is a recruiting and staffing company that helps firms hire technical talent. They are a small agency focused on IT roles, fostering a high-trust, collaborative environment.
Design and harden multi-step, tool-using agent loops for agentic experiences at enterprise scale.
Drive the vision for code understanding by combining deterministic systems and AI into innovative products.
Own agent engineering decisions on models, retrieval, context, cost, and latency to improve product quality.
Sourcegraph is the world's most powerful code intelligence platform, providing Code Search and Deep Search to help developers navigate and understand massive codebases. They are a globally distributed team backed by a16z, Sequoia, and Redpoint, and value high agency and direct communication.
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.
Investigate novel techniques combining class leading heuristics with optimization and ML.
Translate real world Supply Chain Management use cases into mathematical models.
Lead the design and implementation of mathematical models and ML systems.
Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains with an AI-infused platform. With over 2000 employees worldwide, they foster a culture of innovation, collaboration, and social responsibility.