Join BeGig as a LangChain Developer to help startups build powerful LLM-based applications. You'll design and implement intelligent applications using LangChain's modular tools and chains, and deploy scalable systems. This role requires 2+ years of software development or AI experience, with hands-on LangChain experience.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
About BeGig
BeGig is the leading tech freelancing marketplace. We empower innovative, early-stage, non-tech founders to bring their visions to life by connecting them with top-tier freelance talent. By joining BeGig, you’re not just taking on one role—you’re signing up for a platform that will continuously match you with high-impact opportunities tailored to your expertise.
Your Opportunity
Join our network as a LangChain Developer and help startups bring powerful LLM-based applications to life. You’ll build agentic workflows, retrieval-augmented generation (RAG) pipelines, and smart tools using LangChain, vector databases, and top LLM APIs like OpenAI, Claude, Gemini, or Mistral.
This role is perfect for developers who love turning prompts into products and are excited to work at the cutting edge of applied AI—all while enjoying full flexibility and remote work.
Role Overview
As a LangChain Developer, you will:
- Build LLM-Powered Apps: Design and implement intelligent applications using LangChain’s modular tools and chains.
- Orchestrate Smart Workflows: Develop RAG pipelines, agents, and multi-step flows that interact with APIs, tools, and databases.
- Deploy Scalable Systems: Integrate your workflows into web apps, APIs, or serverless environments for real-world usage.
What You’ll Do
LangChain-Based Development:
- Use LangChain to build applications that connect LLMs with tools, documents, APIs, and memory.
- Set up custom chains, agents, tools, and output parsers to power interactive and structured experiences.
- Implement RAG systems with vector stores (e.g., Pinecone, Weaviate, FAISS, Qdrant).
Integration & Optimization:
- Connect LangChain pipelines with OpenAI, Anthropic, Gemini, and open-source models.
- Tune prompts, manage latency, and ensure reliable agent behavior in production.
- Deploy LLM workflows as APIs, web apps, or Slack bots using FastAPI, Flask, or similar.
Technical Requirements & Skills
- Experience: 2+ years in software development or AI, with hands-on LangChain experience.
- Languages: Strong in Python (required); familiarity with JavaScript/TypeScript is a plus.
- LLMs & APIs: Experience with OpenAI, Claude, Gemini, or open-source models like LLaMA, Mistral, etc.
- Vector Databases: Familiarity with Pinecone, Weaviate, FAISS, Qdrant, or similar tools.
- Bonus: Experience with document loaders, chunking strategies, embedding tuning, and agent frameworks like AutoGen or CrewAI.
What We’re Looking For
- A LangChain-savvy developer with a passion for building practical, user-facing AI products.
- A creative thinker who can balance experimentation with stability in LLM apps.
- A freelancer who thrives in autonomous, fast-paced startup environments.
Why Join Us?
- Immediate Impact: Help startups build the next generation of AI-powered applications.
- Remote & Flexible: Work from anywhere on your own schedule—hourly or project-based.
- Future Opportunities: BeGig continuously matches you with LangChain and GenAI-focused projects.
- Frontier Innovation: Collaborate with founders building at the cutting edge of applied LLMs.
Ready to build with LangChain?
Apply now to become a key LangChain Developer for our client and a valued member of the BeGig network!
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