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Remote Langchain Developer Jobs in New York (NOW HIRING)

Bread Financial

Senior Staff Agentic AI Engineer

New York, NY · On-site +1

$116K - $157K/yr

... LangChain, LangGraph, AutoGen) and 3+ years of experience implementing IaC (Terraform or Ansible ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Motorola

Senior AI Engineer (US Remote)

New York, NY · Remote

$180K - $210K/yr

Agentic frameworks (LangChain, LlamaIndex, or AWS Bedrock Agents) Development Stack: * Python (AI ... Prompt engineering & optimization * Model evaluation & testing frameworks * AI observability ...

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Remote Langchain Developer information

What is a remote Langchain developer?

Remote Langchain Developers are software professionals who specialize in building applications using the Langchain framework, which is designed to facilitate the development of language model-powered applications. They work from remote locations, collaborating with teams online to integrate large language models (LLMs) like OpenAI's GPT into various products and workflows. Their responsibilities typically include designing, coding, testing, and deploying solutions that leverage Langchain's capabilities for tasks such as data processing, chatbots, document analysis, and more. Remote Langchain Developers must be proficient in Python and have a strong understanding of AI, machine learning, and natural language processing concepts.

What are the key skills and qualifications needed to thrive as a remote Langchain developer?

To thrive as a Remote Langchain Developer, you need strong Python programming skills, experience with natural language processing (NLP), and a solid understanding of the LangChain framework and large language models. Familiarity with cloud platforms, REST APIs, and version control systems like Git is typically required, along with any relevant certifications in AI or cloud computing. Excellent problem-solving, self-motivation, and effective remote communication skills help set you apart in distributed teams. These skills ensure the efficient development of robust, scalable AI solutions while enabling seamless collaboration and innovation in a remote work environment.

How do remote Langchain developers typically collaborate with team members and stakeholders across different time zones?

Remote Langchain Developers often work as part of distributed teams, which requires strong communication and collaboration skills. They frequently use tools like Slack, Zoom, or project management platforms to coordinate with colleagues and share progress. Developers may need to adjust their schedules for occasional meetings or code reviews to accommodate team members in other time zones. Clear documentation and proactive updates are essential to ensure everyone stays aligned on project goals and timelines.

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The most popular types of Langchain Developer jobs in New York are:

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For Remote Langchain Developer jobs in New York, the most frequently searched job titles are:

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Remote Langchain Developer jobs near you

Agentic AI Engineering Architect (Remote -US)

OMG Technology

Jersey City, NJ • Remote

Contractor

Posted 12 days ago

Job description

Agentic AI Engineering Architect – Remote (US)
We are looking to hire a candidate with the mentioned skill sets and experience for one of our clients within the pharmaceutical Industry. This is a REMOTE role.

Position Overview

Lead the transformation of the software engineering organization into an AI-augmented, agentic engineering model. You will architect an enterprise framework that uses AI agents across the Product Development Life Cycle (PDLC) from requirements and architecture through development, testing, DevSecOps, release, and operations.

Key Responsibilities

  • Define the AI-native SDLC / Agentic PDLC architecture and roadmap.
  • Architect multi-agent workflows for requirements, architecture, development, testing, security, DevOps, compliance, and release management.
  • Design the enterprise AI Engineering Platform/Harness, including LLM gateway, RAG, vector databases, knowledge graphs, MCP, agent registry, orchestration, memory, observability, and evaluation.
  • Drive AI-enabled software engineering transformation, including AI coding, code review, automated testing, documentation, refactoring, and DevSecOps.
  • Define enterprise architectures across cloud, microservices, APIs, data, event-driven systems, and AI infrastructure.
  • Establish AI governance, security, Responsible AI, validation, and regulatory compliance practices.
  • Lead enterprise AI adoption, engineering enablement, training, and change management.
  • Evaluate and select AI platforms and frameworks such as OpenAI, Azure AI, AWS Bedrock, Google Gemini, Anthropic, LangGraph, AutoGen, Semantic Kernel, LangChain, MCP, GitHub Copilot, Cursor, and Claude Code.

Required Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or related field; Master’s preferred.
  • 12+ years of enterprise software engineering experience.
  • 8+ years leading enterprise architecture initiatives.
  • 5+ years leading cloud-native engineering transformations.
  • Experience leading large Agile engineering organizations (200+ engineers preferred).
  • Strong experience in enterprise software modernization and DevSecOps at scale.
  • Strong understanding of Generative AI, Agentic AI, AI engineering platforms, and enterprise AI adoption.
  • Experience implementing GenAI solutions in enterprise environments.
  • Strong enterprise architecture, technical leadership, and organizational transformation skills.

Key Technical Skills

AI/Agentic AI: GenAI, LLMs, Agentic AI, RAG, Knowledge Graphs, LLMOps, AI Evaluation, AI Safety, MCP, Context Engineering.
Engineering: Python, Java, C#, TypeScript, Node.js, React, REST/GraphQL, Microservices, Kubernetes, Docker, GitHub, Azure DevOps, Terraform, CI/CD.
Cloud/Data: Azure, AWS, GCP, Databricks, Snowflake, PostgreSQL, Redis, Vector Databases, Neo4j.
AI Frameworks: LangGraph, CrewAI, AutoGen, Semantic Kernel, PydanticAI, LangChain, LlamaIndex, OpenAI/Anthropic SDKs, Azure AI Foundry.

Other Job Details:

  • Job Type: C2C or W2. (Open to market rate)
  • Duration: 6+ months with a high possibility of extension.
  • Location: REMOTE.
  • Interviews: Video interviews.
  • Docs required: ID proof will be required.