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Langchain Remote Jobs (NOW HIRING)

Prudentia Sciences

Senior AI / ML Engineer

Boston, MA · On-site +1

$113K - $155K/yr

This is a remote-first position, but we'd love it if you're based in or near Boston. What You'll Do ... Develop scalable, production-ready LLM applications using frameworks like LangChain/LangGraph.

Noblesoft Technologies

AI Developer

San Jose, CA · Remote

Remote JD: Core Responsibilities * Design, develop, and deploy autonomous AI agents using frameworks like LangChain or LlamaIndex . * Implement agent reasoning, planning, and tool use for executing ...

Gnostech LLC

Software Engineer (US-Remote)

OR · Remote

US-Remote or Marlton, NJ area Description A Software Engineer is needed to design, develop, and ... Experience working with LLM frameworks and AI SDKs (OpenAI, LangChain, HuggingFace, etc.

Sidram Technologies

Python engineer

Atlanta, GA · Remote

Remote Key Responsibilities * Develop, maintain, and support AI agents for enterprise automation ... Understanding of LLM agent frameworks (LangChain, Semantic Kernel, LlamaIndex). * Experience with ...

NavitasPartners

US / Canada (Remote/Hybrid) Type: Contract / Full-Time Overview: We are seeking a GenAI & Agentic ... Python, PyTorch, LangChain, MLOps * Data Engineering: Databricks, Snowflake, Synapse, BigQuery

NavitasPartners

US / Canada (Remote/Hybrid) Type: Contract / Full-Time Overview: We are seeking a GenAI & Agentic ... Python, PyTorch, LangChain, MLOps * Data Engineering: Databricks, Snowflake, Synapse, BigQuery

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Langchain Remote information

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$28

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How much do langchain remote jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for langchain remote in the United States is $32.69, according to ZipRecruiter salary data. Most workers in this role earn between $30.77 and $34.62 per hour, depending on experience, location, and employer.

What is a Langchain Remote job?

A Langchain Remote job typically refers to a position that involves working with Langchain, an open-source framework for developing applications powered by large language models, from a remote location. Employees in these roles may focus on software development, AI integration, prompt engineering, or related tasks using Langchain tools and libraries. Remote roles offer flexibility in work location, allowing professionals to collaborate online with teams globally. These jobs are popular among those interested in cutting-edge AI technology and remote work culture.

What are some common challenges faced by remote Langchain developers and how can they be addressed?

Remote Langchain developers often encounter challenges such as navigating asynchronous communication, staying updated with the rapidly evolving Langchain framework, and effectively collaborating on complex projects. To address these, it's important to establish clear communication channels (like Slack or Microsoft Teams), participate in regular virtual stand-ups, and proactively share progress or blockers. Engaging with the broader Langchain community and leveraging documentation or forums can also help stay current and troubleshoot issues efficiently.

What is the difference between Langchain Remote vs Python Developer?

AspectLangchain RemotePython Developer
Required CredentialsExperience with NLP, AI, and API integration; often self-taught or with specialized coursesBachelor's degree in Computer Science or related field; proficiency in Python
Work EnvironmentRemote, project-based, often freelance or contract rolesRemote or on-site, full-time or freelance roles in software development
Industry UsageAI, NLP, chatbot development, machine learning projectsWeb development, data analysis, automation, software engineering

Langchain Remote roles focus on AI and NLP projects requiring knowledge of language models and API integration, often in a remote, freelance setting. Python Developer roles are broader, covering various software development tasks across industries, with a strong emphasis on Python programming skills. While both can be remote, their core skills and project types differ significantly.

What are the key skills and qualifications needed to thrive as a LangChain Remote Developer, and why are they important?

To thrive as a LangChain Remote Developer, you need strong proficiency in Python, experience with language models (LLMs), and a solid understanding of natural language processing concepts. Familiarity with the LangChain framework, cloud platforms (like AWS or Azure), and APIs is typically required, along with experience using version control systems such as Git. Strong problem-solving skills, self-motivation, and effective remote communication are essential soft skills for this role. These competencies are crucial for building scalable, reliable language model applications and collaborating efficiently in distributed teams.
More about Langchain Remote jobs
What cities are hiring for Langchain Remote jobs? Cities with the most Langchain Remote job openings:
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What states have the most Langchain Remote jobs? States with the most job openings for Langchain Remote jobs include:
What job categories do people searching Langchain Remote jobs look for? The top searched job categories for Langchain Remote jobs are:
Langchain Remote jobs near you
Infographic showing various Langchain Remote job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $68,000 per year, or $32.7 per hour.

Principal Engineer - Code Analysis & Compilers ::Remote / Hybrid

Talent Movers

Mountain View, CA • Remote

Contractor

Posted 19 days ago

Job description

Job Title: Principal Engineer – Code Analysis & Compilers

Location: Remote / Hybrid

Negotiate and Share

FTE Only

 

We are looking for a Language Engineer who understands that reliable code generation requires deep structural understanding, not just large language models. You will be a founding engineer of a high-visibility product team with the autonomy to define technical direction.

The Challenge 

You will build the core engine responsible for ingesting, parsing, and analyzing millions of lines of legacy code (SQL, SAS, etc.). Your work will bridge the gap between Static Analysis and Generative AI, ensuring our models operate with mathematical precision.

What You Will Do

  • Deep Code Parsing: Design and implement robust parsers to convert legacy codebases into structured data representations (using tools like ANTLR or similar libraries).
  • Static Analysis: Build algorithms to trace data lineage, identify dependencies, and extract logic from unstructured code.
  • AI Integration: Collaborate with AI engineers to feed high-fidelity structural context into our generative models.
  • Performance Engineering: Optimize the processing of massive code repositories to run efficiently at scale.

What We Need

  • Core CS Fundamentals: Deep understanding of Data Structures, Algorithms, and Graph Theory.
  • Language Theory: Experience with Abstract Syntax Trees (ASTs), Lexers, and Parsers is non-negotiable. You understand why Regex is insufficient for code analysis.
  • Engineering Excellence: Strong proficiency in Python and experience building scalable backend systems.
  • Problem Solving: You love reverse-engineering how languages work and finding patterns in chaos.

Preferred Experience

  • Experience with ANTLR, Tree-sitter, or SQLGlot.
  • Background in building transpilers, linters, or code migration tools.
  • Familiarity with Vector Databases or LLM orchestration frameworks (LangChain/LlamaIndex) is a plus.