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AI Engineer ( Generative AI / RAG ) at Xminds…

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Xminds Infotech

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Xminds Infotech

Thiruvananthapuram · Hybrid · 1-3 Yrs · 1 day ago

1 open role1 posted in 7d1 in 30d

Hiring: Engineering

Job description

Hybrid

Overview

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.

Responsibilities

Build RAG pipelines: chunking, embeddings, hybrid retrieval and custom ranking.
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.
Work with backend, frontend and DevOps engineers; document what you build.

Qualifications

4+ years Python; 2 3+ years building LLM applications in production.
RAG fundamentals: embeddings, vector search, hybrid retrieval, chunking, evaluation.
LangChain or LangGraph (or LlamaIndex / similar).
FastAPI, PostgreSQL, Docker; Git.
Any major cloud (Azure preferred).
Bachelor s in Computer Science or related field.
Clear communication and ability to work in a client-facing delivery team.
Disclaimer: This job posting and location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .

Nice to have

Multilingual NLP exposure.
Content-safety / guardrail tooling (Azure AI Content Safety, Guardrails AI).
LLM evaluation tools (RAGAS, DeepEval, promptfoo) and observability (Langfuse, LangSmith, App Insights).
Fine-tuning experience (LoRA / Hugging Face).
Azure AI-102 or equivalent certification.

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Job application FAQ

Last updated 27 October 2026

How do I apply for AI Engineer ( Generative AI / RAG ) at Xminds Infotech?: Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Xminds Infotech may attach structured assessments to interview rounds after you apply.
Does Feedback AI show a match score for this AI Engineer ( Generative AI / RAG ) role?: Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
Is AI Engineer ( Generative AI / RAG ) remote or on-site in Thiruvananthapuram, Keralam?: This listing is marked hybrid with location Thiruvananthapuram, Keralam. Confirm details on the job description before applying.
What skills matter for this AI Engineer ( Generative AI / RAG ) role at Xminds Infotech?: This is a mid-level AI Engineer ( Generative AI / RAG ) role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.