Join LangChain as a Deployed Engineer to build reliable AI agents for enterprise customers in a fully remote role.
Posted by employer 4 days ago
First seen on Joblaze 4 days ago
Last verified on the company career page 17 hours ago
Skills & Technologies
What you'll build
- Agent architecture design
- Co-build with customer's engineering team
- Serve as a deployed engineer inside customer's team
- Design and implement evaluation methodologies
- Operate across the full spectrum from advisory to embedded delivery
Must have
- 4+ years of software engineering experience with deep expertise in Python
- 2+ years of hands-on experience building and shipping production agent systems
- Strong client-facing communication skills
- Strong experience with LangChain/LangGraph/Deep Agents or comparable frameworks
- Deep familiarity designing and implementing evaluation methodologies
Nice to have
- Exposure to dataset curation and post-training techniques
- Experience with trace mining to drive continuous improvement loops
Practical constraints
- Willing to travel up to 20% of the time
Requirements
- Experience
- 4+ years
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In the role of Deployed Engineer at LangChain, the individual will engage directly with enterprise clients to develop and implement reliable AI agents, translating complex workflows into actionable software specifications. Proficiency in Python is essential, along with experience in building production agent systems and strong communication skills to convey technical decisions to stakeholders. This position is suited for seasoned engineers with a background in applied AI and agent architecture, who are comfortable working both independently and as part of client teams.
Joblaze insights
- Listed 4 days ago — first seen on Joblaze September 15, 2026. Last confirmed on LangChain's careers page September 19, 2026.
Quick facts
- Is the Deployed Engineer, Professional Services (APAC) role remote?
- Yes — LangChain lists this as a fully remote position.
- How much experience is required?
- At least 4 years of relevant experience for this Deployed Engineer, Professional Services (APAC) 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 (APAC) 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 in Singapore
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.