Live opening · Posted 16 days ago

LLM Engineer (Freelance | WFH)

BeGig · India (Remote)
Linkedin No
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At a glance

The key details from the original listing.

Posted 16 days ago
CompanyBeGig
LocationIndia (Remote)
Work modeNo
SourceLinkedin
Listed16 days ago

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About the role

Description supplied by the original job listing.

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
Strong 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. 🤖

Work arrangement
No

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