AI Engineer (Generative AI / RAG)

Xminds Infotech Pvt Ltd; Thiruvananthapuram; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Xminds Infotech Pvt Ltd is hiring an AI Engineer to build production generative-AI applications for enterprise clients in Thiruvananthapuram, Kerala. You will craft RAG pipelines, prompts, LLM integrations and content guardrails within a small delivery team under a Solution Architect.

You will work on embedding-based retrieval, model routing, guardrails, and explainability outputs, while evaluating models and optimizing latency and token cost across projects.

Qualifications

• Bachelor’s degree in Computer Science or related field.
• Clear communication and ability to work in a client-facing delivery team.
• 4+ years Python; 2–3+ years building LLM applications in production.
• Experience with RAG fundamentals: embeddings, vector search, hybrid retrieval, chunking.

Responsibilities

• Build RAG pipelines: chunking, embeddings, hybrid retrieval and custom ranking.
• Write and maintain prompts and structured outputs for multilingual content generation.
• Integrate LLMs behind a routing layer that allows model swaps without code changes.
• Implement content guardrails: prohibited terms, policy rules, content-safety checks and approval workflows.
• Build explainability output — retrieved sources and confidence signals for each generation.
• Run model evaluations and A/B comparisons; track quality, latency and token cost.
• Work with backend, frontend and DevOps engineers; document what you build.

Skills

Python programming

LLM application development

RAG fundamentals

LLM APIs

Vector databases

LangChain / LangGraph

Education

Bachelor’s in Computer Science

Tools

pgvector

Pinecone

Qdrant

Weaviate

Azure OpenAI

OpenAI API

Job description

We are hiring an AI Engineer to build production generative-AI applications for our enterprise clients. You will build RAG pipelines, prompts, LLM integrations and content guardrails as part of a small delivery team under a Solution Architect.

Key Responsibilities

• Build RAG pipelines: chunking, embeddings, hybrid retrieval and custom ranking.
• Write and maintain prompts and structured outputs for multilingual content generation.
• Integrate LLMs behind a routing layer that allows model swaps without code changes.
• Implement content guardrails: prohibited terms, policy rules, content-safety checks and approval workflows.
• Build explainability output — retrieved sources and confidence signals for each generation.
• Run model evaluations and A/B comparisons; track quality, latency and token cost.
• Work with backend, frontend and DevOps engineers; document what you build.

Required Skills

• 4+ years Python; 2–3+ years building LLM applications in production.
• RAG fundamentals: embeddings, vector search, hybrid retrieval, chunking, evaluation.
• Experience with any LLM API (Azure OpenAI, OpenAI, Anthropic, Gemini).
• Experience with any vector database (pgvector, Azure AI Search, Pinecone, Qdrant, Weaviate).
• LangChain or LangGraph (or LlamaIndex / similar).

Preferred Skills

• LLM evaluation tools (RAGAS, DeepEval, promptfoo) and observability (Langfuse, LangSmith, App Insights).
• Fine-tuning experience (LoRA / Hugging Face).

Qualifications

• Bachelor’s in Computer Science or related field.
• Clear communication and ability to work in a client-facing delivery team.