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Hire Senior LangChain Engineers

Browse 106 reviewed Senior LangChain engineers available for remote hire. Every profile is manually reviewed before it goes live.

106 Senior LangChain profiles
Manually reviewed
Remote worldwide

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Dhawal Umesh

Dhawal Umesh

Mid-level
Chicago, United States (UTC-6) Full Time Rate on request
AI & Machine Learning Engineers Automation & AI Workflows
Uriel

Uriel

Senior
Toronto, Canada (UTC-5) Full Time, Part Time Rate on request
AI & Machine Learning Engineers NLP & Prompt Engineering
Khaleelur

Khaleelur

Entry-level
Kolkata, India (UTC+5:30) Part Time, Full-time Rate on request
ML (Machine Learning) Computer Vision
python machine learning deep learning sql scikit-learn +5
Khandu

Khandu

Junior
Kolkata, India (UTC+5:30) Full-time, Contract-to-hire Rate on request
Automation & AI Workflows AI & Machine Learning Engineers
Viren

Viren

Junior
Kolkata, India (UTC+5:30) Full Time, Part Time Rate on request
AI & Machine Learning Engineers Data Science & Analytics
Laura

Laura

Senior
Chicago, United States (UTC-6) Part-time, Freelance Rate on request
Automation & AI Workflows AI Implementation & Consulting
supabase node.js python langchain langgraph +5
Yash

Yash

Senior
Kolkata, India (UTC+5:30) Full-time, Contract Rate on request
Automation & AI Workflows
Mohsin

Mohsin

Senior
New York, United States (UTC-5) Full-time, Freelance Rate on request
Automation & AI Workflows AI Product & Strategy
Aditya

Aditya

Senior
Kolkata, India (UTC+5:30) Full-time, Part-time Rate on request
AI & Machine Learning Engineers Data Science & Analytics
Diego

Diego

Senior
Bogota, Colombia (UTC-5) Full-time Rate on request
NLP & Prompt Engineering Automation & AI Workflows

About this role

What makes a Senior LangChain engineer?

LangChain has become the go-to framework for building LLM applications — from simple chatbots to complex agentic workflows. Engineers with LangChain expertise can accelerate your LLM product development significantly.

Frequently asked questions

What does a Senior LangChain engineer bring that a mid-level doesn't?

Senior LangChain engineers take ownership of architecture decisions, handle production incidents independently, and mentor others. They reduce review cycles and catch edge cases earlier. For production AI systems, senior engineers are the difference between a system that works in a demo and one that holds up at scale.

How do I verify someone is truly senior in LangChain?

Look for evidence of ownership: production systems they designed, incidents they resolved, technical decisions they made under pressure. Our team reviews every profile before it goes public (a real name, a written description and a list of skills), so judge seniority from the experience each person lists.