2 months ago
Boston, MA, USA +9 moreMid Level
H1B sponsor
Base Salary
$150k - $215k/yr
Responsibilities
- Advise enterprise customers on agent architecture, evaluation strategies, and production best practices.
- Co-build agent systems with customer engineering teams across the full Agent Development Lifecycle.
- Embed within customer organizations as a de facto engineering team member to ship agent systems.
- Design and implement agent architectures, orchestration patterns, evaluation systems, custom conversational UIs, and production deployments.
- Apply post-training, supervised fine-tuning, harness engineering, trace mining, model selection, and evaluation methodologies.
Requirements
- Have 4+ years of software engineering experience with deep expertise in Python.
- Have 2+ years of hands-on experience building and shipping production agent systems.
- Communicate architectural decisions confidently to engineers, architects, CTOs, and other technical stakeholders.
- Have strong experience with LangChain, LangGraph, Deep Agents, or comparable frameworks, including multi-agent patterns and short- and long-term memory.
- Have deep familiarity with evaluation methodologies for non-deterministic AI systems.
- Be comfortable working across advisory, co-building, and embedded delivery engagements.
- Preferred: experience with dataset curation and post-training techniques such as SFT, DPO, and RLHF on open-weight models.
- Preferred: experience using Axolotl, Unsloth, Hugging Face Transformers, or TRL.
- Preferred: experience with trace mining and continuous improvement loops.
Benefits
- Remote work arrangement.
- $150,000-$215,000 base salary plus equity.
- Medical, dental, and vision coverage.
- Flexible vacation.
- 401(k) plan.
- Meals on in-office days in the US.
- Regional benefits for team members in the EU, UK, and APAC aligned with local norms and regulations.
Tech Stack
Categories
Forward Deployed
About LangChain
LangChain builds open-source frameworks and a commercial platform for developing, evaluating, deploying, and operating LLM-powered agents and applications. Its LangSmith suite provides observability, testing, deployment, and governance for enterprise AI workloads; customers include Nvidia, LinkedIn, Workday, and Bridgewater. Privately held and headquartered in San Francisco, the company was founded in 2022.
