Join LangChain as a Deployed Engineer to build reliable AI agents for enterprise customers in a fully remote role.
Posted by employer 2 weeks ago
First seen on Joblaze 2 months ago
Last verified on the company career page 11 hours ago
Skills & Technologies
AI in the day-to-day
We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents.
Requirements
- Experience
- 4+ years
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In the role of Deployed Engineer at LangChain, the individual will engage directly with enterprise clients to design and implement production-ready AI agents, translating complex workflows into actionable software specifications. Proficiency in Python is essential, along with experience in building and deploying agent systems, while familiarity with frameworks like LangChain is advantageous. This position is ideal for seasoned engineers who possess strong communication skills and can navigate both advisory and hands-on roles within client teams. LangChain's growth stage and commitment to impactful technology make this an exciting opportunity for those looking to shape the future of AI.
Joblaze insights
- Listed about 2 months ago — first seen on Joblaze August 28, 2026. Last confirmed on LangChain's careers page October 27, 2026.
- Salary band is below the typical range for AI/ML roles (median ~$190,000).
- Starts above 16% of 257 comparable senior ai/ml roles that list Python we track (median $182,000 across 83 companies). See Python salary trends
- Python appears in 45% of 1070 comparable senior ai/ml roles; Deep Agents appears in 0.5% of 1070 comparable senior ai/ml roles.
Quick facts
- Is the Deployed Engineer, Professional Services role remote?
- Yes — LangChain lists this as a fully remote position.
- What's the salary range?
- LangChain lists $150,000–$215,000 for this role.
- How much experience is required?
- At least 4 years of relevant experience for this Deployed Engineer, Professional Services role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Deep Agents, JavaScript, LangChain, LangGraph, Python, TypeScript.
- What seniority level is this role?
- LangChain targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Deployed Engineer, Professional Services role at LangChain.
From the original posting
About Us
About the Role
We're looking for a Deployed Engineer to join our Professional Services team, working directly with enterprise customers to build reliable, production agents. You'll translate vague enterprise workflows into concrete software specs and guide engineering teams through the resulting solution, or build it for them. You might spend a week designing a customer's agent architecture, a few weeks co-building their evaluation pipeline, or a quarter embedded inside their team shipping alongside their engineers. You are someone who's built real AI systems for production and can defend the technical tradeoffs within them.
Key Responsibilities
Advising: Agent architecture design, evaluation strategy review, and best-practice production guidance.
Building: Co-build with the customer's engineering team across the full Agent Development Lifecycle (ADLC) in outcome-scoped engagements.
Embedding: Serve as a deployed engineer inside the customer's team for extended engagements, operating as a de facto member of their org to ship agent systems directly.
Agent Engineering: ADLC end-to-end, architecture design, orchestration patterns, evals, custom conversational UIs, and production deployment.
Applied AI: Post-training, supervised fine-tuning, harness engineering, trace mining, model selection and evaluation methodology.
Requirements
4+ years of software engineering experience with deep expertise in Python. TypeScript/JavaScript a plus.
2+ years of hands-on experience building and shipping production agent systems.
Strong client-facing communication skills, with the ability to confidently articulate architectural decisions to technical stakeholders (engineers, architects, CTOs).
Strong experience with LangChain/LangGraph/Deep Agents or comparable frameworks, including multi-agent patterns and state management (short and long-term memory).
Deep familiarity designing and implementing evaluation methodologies for non-deterministic AI systems.
Comfortable operating across the full spectrum from advisory to embedded delivery.
Willing to travel up to 20% of the time.
Nice to Have
Exposure to dataset curation and post-training techniques (SFT, DPO, RLHF) on open-weight models using tools like Axolotl, Unsloth, Hugging Face
transformers, or TRL.Experience with trace mining to drive continuous improvement loops
Location
Remote
Compensation
$150,000-$270,000 base + equity
Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions.Compensation Philosophy:
Standard company text repeated across LangChain's postings is omitted here.