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Full Time Langchain Developer Jobs (NOW HIRING)

Senior AI Developer

Manhattan, NY ยท On-site

$125K - $140K/yr

New York, United States Type: Full-time Department: Technology Job Summary We are seeking a Senior ... Implement guardrails, reasoning workflows, and ReAct-based patterns within LangChain/LangGraph to ...

Senior AI Developer

Manhattan, NY ยท On-site

$125K - $140K/yr

New York, United States Type: Full-time Department: Technology Job Summary We are seeking a Senior ... Implement guardrails, reasoning workflows, and ReAct-based patterns within LangChain/LangGraph to ...

J0626-1051 Employment Type: Full Time U.S. - What we do matters By playing this video you consent ... Develop applications using LangChain and monitor, evaluate, and debug workflows using LangSmith

Fulltime Employee Job Overview: * AI Engineer with 6-9 years of experience required along with 2-4 ... LLM/AI: Hugging Face, LangChain, Open AI API. * RAG pipelines: use Hugging Face, LangChain, and ...

Fulltime Employee Job Overview: * AI Engineer with 6-9 years of experience required along with 2-4 ... LLM/AI: Hugging Face, LangChain, Open AI API. * RAG pipelines: use Hugging Face, LangChain, and ...

AI Solutions Developer

New York, NY ยท On-site

$55 - $75.75/hr

Develop applications powered by Large Language Models using LangChain vector databases embeddings ... Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time ...

Remote Duration: Full-time Required Qualifications * 10+ years of professional software development ... using LangChain / LlamaIndex or equivalent. * Experience with vector databases (FAISS/Milvus ...

Gen AI Developer - Vice President

Irving, TX ยท On-site

$125K - $188K/yr

Build and orchestrate AI agents using frameworks like LangChain, AutoGen, or CrewAI, implementing ... Applications Development Time Type: Full time Primary Location: Irving Texas United States Primary ...

Philippines, Latin America, or North America) Employment Type: Full-Time / Contract Company ... Experience with LangChain, LlamaIndex, CrewAI, AutoGen, or similar frameworks. * Experience with ...

Philippines, Latin America, or North America) Employment Type: Full-Time / Contract Company ... Experience with LangChain, LlamaIndex, CrewAI, AutoGen, or similar frameworks. * Experience with ...

Philippines, Latin America, or North America) Employment Type: Full-Time / Contract Company ... Experience with LangChain, LlamaIndex, CrewAI, AutoGen, or similar frameworks. * Experience with ...

AI Lead Developer

Exton, PA ยท On-site

$57 - $74.50/hr

Exton, PA Onsite Employment Type: Full-Time We are seeking a hands-on AI Lead Developer to ... LangChain * LangGraph * AutoGen * ADK * MCP (Model Context Protocol) * Multi-Agent Architectures

AI Lead Developer

Exton, PA

$57 - $74.50/hr

Exton, PA Onsite Employment Type: Full-Time We are seeking a hands-on AI Lead Developer to ... LangChain LangGraph AutoGen ADK MCP (Model Context Protocol) Multi-Agent Architectures Experience ...

Berkeley Heights, NJ Duraction: Full Time Agentic AI Developer (Python) -- Vertex AI RAG + Graph ... Experience with at least one agentic framework (e.g., LangGraph/LangChain, LlamaIndex, Semantic ...

... Type Full-Time Career Level Experienced (Non-Manager) Education Bachelor's Degree Security ... LangChain, Open WebUI, Embeddings Databases, and Azure Foundry to deliver impactful AI solutions.

Fort Mill, SC Experience: 10+ Years Duration- Full-Time Position Overview We are seeking an ... Experience with Semantic Kernel, LangChain, CrewAI, AutoGen, or similar AI frameworks. * Knowledge ...

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Full Time Langchain Developer information

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How much do full time langchain developer jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for full time langchain developer in the United States is $52.84, according to ZipRecruiter salary data. Most workers in this role earn between $40.38 and $64.66 per hour, depending on experience, location, and employer.

What are some of the main challenges a Full Time Langchain Developer might face when integrating large language models with external data sources?

A Full Time Langchain Developer often encounters challenges such as ensuring seamless and secure integration between language models and various APIs or databases. Handling data privacy, managing latency, and maintaining the accuracy of responses when fetching or updating information from external sources are common concerns. Additionally, developers must continuously monitor and optimize prompt engineering to improve model performance and adapt to evolving project requirements. Collaboration with data engineers and product teams is also essential to address these integration complexities effectively.

What is a Full Time Langchain Developer?

A Full Time Langchain Developer is a software engineer who specializes in building applications and solutions using LangChain, an open-source framework designed to facilitate the development of applications powered by large language models (LLMs). Their responsibilities typically include integrating language models with external data sources, creating conversational agents, and automating workflows that leverage AI. Working full time means they dedicate their primary professional hours to designing, coding, testing, and maintaining LangChain-based systems. This role often requires expertise in Python, familiarity with LLMs, and understanding of prompt engineering.

What are the key skills and qualifications needed to thrive as a Full Time Langchain Developer, and why are they important?

To thrive as a Full Time Langchain Developer, you need a solid background in Python programming, experience with large language models (LLMs), and familiarity with software engineering best practices. Proficiency in using the Langchain framework, APIs, cloud platforms, and version control systems like Git is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills make a candidate stand out in this role. These skills and qualities are crucial for building scalable, reliable AI-driven applications and collaborating efficiently within technical teams.
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What job categories do people searching Full Time Langchain Developer jobs look for? The top searched job categories for Full Time Langchain Developer jobs are:

Senior AI Developer

eClercx

Manhattan, NY โ€ข On-site

$125K - $140K/yr

Full-time

Posted 2 days ago


Job description

Job Description
Senior AI Developer
Location: New York, United States
Type: Full-time
Department: Technology
Job Summary
We are seeking a Senior AI Developer to support one of our premier clients-a leading global financial institution-with strong expertise in building intelligent AI agents and components that can reason, plan, and act autonomously. The ideal candidate will have hands-on experience developing scalable multi-agent AI systems using modern orchestration frameworks such as LangChain and LangGraph, integrating agentic workflows end-to-end, and shipping production-grade AI applications.
Responsibilities
  • Design and develop AI agents and autonomous multi-agent systems using modern agentic frameworks including LangGraph and LangChain, with the ability to architect agent graphs, define node transitions, and manage stateful agent workflows
  • Build and orchestrate multi-agent pipelines-including supervisor agents, collaborative agent networks, and hierarchical agent architectures-to solve complex, multi-step financial use cases
  • Implement guardrails, reasoning workflows, and ReAct-based patterns within LangChain/LangGraph to improve reliability, decision-making, and agent safety
  • Develop memory management (short-term, long-term, episodic) and tool-use capabilities (MCP, LangChain Tools, custom tool integrations) for AI agent systems
  • Leverage LangGraph's stateful graph execution model to build resilient, interruptible, and human-in-the-loop agentic workflows
  • Integrate LLM-powered agents with external APIs, databases, and enterprise data platforms via LangChain's retrieval, routing, and chain composition primitives
  • Partner closely with prompt engineers, data scientists, and platform teams to optimize AI application performance across multi-agent deployments
  • Build and maintain scalable Python-based services, APIs, and microservices that serve as agent execution environments and tool backends
  • Develop and support AIOps capabilities and CI/CD pipelines for AI agent deployment, versioning, and monitoring (including LangSmith or equivalent observability tooling)
  • Work with modern data platforms including Snowflake, Databricks, and Lakehouse architectures as grounding and tool-use data sources for agents
  • Ensure AI agent solutions are scalable, secure, observable, and production-ready

Eligibility Requirements
  • 8+ years of overall software engineering experience, with a strong focus on AI/ML systems in recent years
  • Hands-on production experience with LangChain - including chains, agents, tools, retrievers, memory modules, and prompt templates
  • Hands-on production experience with LangGraph - including stateful graph construction, conditional edges, checkpointing, human-in-the-loop interrupts, and multi-agent graph topologies
  • Demonstrated experience designing and deploying multi-agent systems - including orchestrator/worker patterns, agent-to-agent communication, task delegation, and shared state management
  • Experience implementing guardrails, ReAct patterns, and chain-of-thought reasoning within agentic pipelines
  • Strong understanding of agent memory architectures (in-context, vector-store-backed, episodic) and tool-use patterns (function calling, MCP, LangChain tool wrappers)
  • Familiarity with LangSmith or equivalent observability/tracing platforms for debugging and monitoring agent behaviour in production
  • Strong Python engineering skills including async programming, APIs, and microservices
  • Experience with AIOps and CI/CD pipeline development for AI agent deployment and lifecycle management
  • Hands-on experience with Snowflake, Databricks, and Lakehouse architectures
  • Strong understanding of scalable distributed systems and cloud-native application development
  • Strong communication and cross-functional collaboration skills
  • Nice to Have
    • Experience with other agentic frameworks such as AutoGen, CrewAI, or OpenAI Assistants API
    • Familiarity with LangGraph Cloud or self-hosted LangGraph Server for agent deployment
    • Background in financial services AI applications (risk, compliance, trading, operations)
    • Experience with vector databases (Pinecone, Weaviate, pgvector) as long-term memory stores for agents
    • Contributions to open-source LangChain/LangGraph ecosystem

In the US, the target base salary for this role is $125,000-$140,000. Compensation is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications, and geography. We expect the majority of candidates who are offered roles at our company to fall throughout the range based on these factors
How to Apply
  • Click "Apply Now" to submit your resume through our career site
  • Be sure to include any relevant experience that aligns with the role.
  • Qualified candidates will be contacted by a member of our recruitment team for next steps

About eClerx
eClerx is a leading provider of productized services, bringing together people, technology and domain expertise to amplify business results.
The firm provides business process management, automation, and analytics services to a number of Fortune 2000 enterprises, including some of the world's leading financial services, communications, retail, fashion, media & entertainment, manufacturing, travel & leisure, and technology companies. Incorporated in 2000, eClerx is traded on both the Bombay and National Stock Exchanges of India. The firm employs more than 19,000 people across Australia, Canada, France, Germany, Switzerland, Egypt. India, Italy, Netherlands, Peru, Philippines, Singapore, Thailand, the UK, and the USA.
For more information, visit www.eclerx.com
You can also find us on:
https://www.linkedin.com/company/eclerx/
https://www.indeed.com/cmp/Eclerx/about
https://www.glassdoor.com/eClerx
eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. We are also committed to protecting and safeguarding your personal data. Please find our policy here