Research Engineer

AI Research Engineer Location: US Remote (SF / Boston Offices) Compensation: $200 - 275k base + 10% Bonus + Equity We’re partnering a scaling, state of the art AI Startup innovating with large language models (LLMs), code generation and verification redefining code translation for mission-critical industries. Their projects directly involve industry leading partners (at scale) where they’re applying advanced AI to solve meaningful, practical challenges with real-world impact. This is a business who have achieved a product-market fit and are operating with serious runway and traction. Boasting a Founding team with multiple prior exits & $1Bs raised in career funding, as well as a technical team who honed their craft at the likes of OpenAI, IBM, MS Research, NASA, & a collection of scale pilled, high quality LLM labs. Responsibilities: Design and build agentic AI systems for planning, decision support, and human-machine teaming Develop AI pipelines that integrate foundation models, retrieval, simulation, external tools, and deterministic software Design, run, and analyze experiments to evaluate model and agent performance, reliability, traceability, latency, cost, and user trust Fine-tune, distill, and evaluate foundation models for domain-specific planning, reasoning, and decision-support tasks Build datasets, retrieval pipelines, automated benchmarks, and experiment infrastructure to support continuous model improvement and reproducible research Partner with software engineers to transition research prototypes into scalable AI services Collaborate with domain experts to translate operational workflows into AI-enabled capabilities while ensuring AI outputs remain explainable, reviewable, and under human control Your Ideal Skillset: 3+ years building AI, machine learning, or applied research systems. Strong Python & PyTorch Experience building or deploying agentic AI systems, tool-calling workflows, or multi-step reasoning pipelines. Experience fine-tuning, evaluating, or serving language models. Experience with retrieval-augmented generation, embeddings, vector search, or knowledge retrieval systems. Strong understanding of experiment design, benchmarking, and model evaluation. Ability to move quickly from research prototype to production-quality implementation. Why Join This Team? Mission with impact: Build AI systems that help users reason through high-consequence operational decisions. AI beyond demos: Work on systems where models are paired with software, verification, simulation, guardrails, and human oversight. Greenfield research: Explore ambitious ideas in GenAI, RL, agentic workflows, evaluation, and human-machine teaming. Access to serious compute and the ability to move quickly Collaborate with a highly technical team where your work won’t get diluted Competitive compensation and meaningful / significant equity Get in touch today for immediate consideration and interview!