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Listed on LangChain’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This research engineer role focuses on building benchmarks and running experiments to improve LangChain's autonomous agent system, with an emphasis on real-world performance, production costs, and system efficiency. It suits researchers with deep LLM experience who can bridge the gap between ML innovation and reliable production systems.
Our summary, not LangChain’s wording. The full posting is on their site.
Skills this role names
- Benchmarking
- Fine-tuning
- LLMs (Large Language Models)
- Machine Learning
- Prompt Engineering
- Reinforcement Learning
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What they ask for
Required
- 4+ years ML/AI research experience
- Master's or Ph.D. in relevant scientific field
- Hands-on experience with LLMs and AI agents
- Experience designing benchmarks and evaluations for AI systems
- Strong software engineering skills with research-to-production track record
- Research judgment and ability to work through ambiguity
Nice to have
- Ph.D. in Machine Learning, Computer Science, or Physics
- LLM-as-a-judge or automated grader experience
- Synthetic data generation or human evaluation experience
- Post-training techniques experience (reinforcement learning, preference optimization, RLHF/RLAIF)
- LLM agent cost or latency optimization in production
- Model serving, inference optimization, or distributed systems experience