LLM Engineer (Freelance | WFH) (India)

LLM Engineer (Freelance | WFH) (India)

13 Sep
|
begig
|
India

13 Sep

begig

India

About BeGig

BeGig is a tech freelancing platform connecting skilled technology professionals with companies and founders seeking specialized expertise on a flexible, project-based basis.

Your Opportunity

We’re looking for experienced LLM Engineers who can build and deploy intelligent applications powered by large language models. You’ll work on LLM integrations, RAG systems, AI agents, prompt engineering, evaluation, and production-ready AI workflows across different business use cases.

What You’ll Do

- Design and build LLM-powered applications and AI solutions
- Integrate models such as OpenAI, Claude, Gemini, Llama , and other foundation models
- Develop RAG pipelines for accurate knowledge retrieval and generation
- Build AI agents with tool calling, function calling, and multi-step workflows
- Develop prompt templates and optimize model responses for specific use cases
- Work with embeddings, vector databases, semantic search, and knowledge bases
- Implement LLM evaluation, testing, monitoring, and quality improvement workflows
- Integrate LLM solutions with APIs, databases, and existing applications
- Optimize AI applications for accuracy, latency, scalability, and cost
- Deploy and maintain LLM applications in production environments
- Collaborate with software engineers, data teams, and product stakeholders

What We’re Looking For




- Robust experience in LLM application development and Generative AI
- Proficiency in Python and relevant AI/ML libraries
- Hands-on experience with OpenAI, Claude, Gemini, Llama, or similar LLMs
- Strong understanding of RAG, embeddings, vector search, and semantic retrieval
- Experience with frameworks such as LangChain, LangGraph, LlamaIndex, or similar
- Experience building AI agents and tool/function-calling workflows
- Knowledge of prompt engineering and structured outputs
- Experience with vector databases such as Pinecone, Weaviate, Qdrant, Chroma, or similar
- Understanding of LLM evaluation, hallucination reduction, and model monitoring
- Experience deploying AI applications using AWS, Azure, GCP, or similar cloud platforms
- Knowledge of APIs, databases, and backend development
- Strong problem-solving skills and ability to work independently

Why BeGig
- Flexible freelance and project-based opportunities
- Work with startups and enterprises across different industries
- Get matched with relevant projects based on your skills and experience
- Access to a trusted network of technology professionals and clients

Apply now to join BeGig as an LLM Engineer and build intelligent, production-ready AI applications. ?

📌 LLM Engineer (Freelance | WFH) (India)
🏢 begig
📍 India

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