Associate III - Data Science

3 - 5 Years
1 Opening
Trivandrum

Job Title: AI Engineer (RAG & LLM Solutions)

Location: Kochi / Trivandrum
Experience Level: 4 - 7 Years

Role Summary

We re looking for a hands-on AI Engineer to design, build, and productionize LLM-powered applications Retrieval-Augmented Generation (RAG) solutions for enterprise clients. You will translate business requirements into scalable AI architectures, implement Python-based services, integrate vector databases and cloud AI services, and ensure robust security and governance.

Key Responsibilities

• Design & Build RAG Systems: Implement document ingestion, chunking, embeddings, indexing, hybrid retrieval, reranking, and evaluation.
• Develop LLM Apps & Services: Build Python services/APIs for chat, Q&A, summarization, extraction, agents, and workflows.
• AI Architecture: Create HLD/LLD covering data flows, model selection, orchestration, observability, and deployment.
• Data Engineering for AI: Build ETL/ELT pipelines for structured & unstructured data; design metadata and document loaders.
• MLOps / LLMOps: Implement experimentation tracking, CI/CD, model/version management, prompt & evaluation registries.
• Security & Governance: Apply guardrails, prompt-injection defences, PII handling, and auditability.
• Performance & Cost Optimization: Optimize latency, context usage, retrieval quality, GPU/endpoint costs.

Mandatory Qualifications

• Strong Python with production code practices: modular design, testing (pytest), logging, packaging, type hints.
• LLM & GenAI Practical Experience (3+ years): building apps using OpenAI/Azure OpenAI/Anthropic/Meta/Mistral.
• RAG Expertise: embeddings, chunking strategies, vector DBs (e.g., OpenSearch, Pinecone, Weaviate, Chroma, Redis), hybrid search (BM25+dense), reranking.
• Cloud & DevOps: One major cloud (AWS preferred), Docker, CI/CD pipelines, GIT.
• APIs & Services: REST/GraphQL service development; async patterns; secure secrets management (e.g., Key Vault).
• AI Fundamentals: transformers, tokenization, embeddings, attention, context windows, grounding, etc
• Familiarity with AI/data libraries (LangChain, Pandas, PyMuPDF or similar)

Preferred / Nice-to-Have

• Front-end familiarity: React/ Angular for basic prototypes.

Qualifications & Education

• Bachelor s/master s in computer science, Engineering, or related field (or equivalent experience).

python,ai engineering,retrieval-augmented generation,vector databases,