Senior AIML Engineer (LLM, RAG, Computer Vision & MLOps)

Role Overview
We are seeking a highly skilled Senior AI/ML Engineer to design, develop, and deploy production-grade AI systems that combine Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Computer Vision, and scalable MLOps infrastructure.
In this role, you will build end-to-end AI pipelines that transform unstructured documents and video streams into structured insights, validated outputs, and intelligent analyses. You will work across the full lifecycle—from data ingestion and model development to deployment, monitoring, evaluation, and optimization in production environments.
The ideal candidate combines robust machine learning and software engineering fundamentals with hands-on experience building reliable AI systems that balance accuracy, latency, scalability, cost, and determinism.

Key ResponsibilitiesAI & LLM Systems
- Design and implement production-grade RAG pipelines including document ingestion, preprocessing, chunking, embedding generation, vector retrieval,



and LLM-powered structured extraction.
- Develop structured JSON extraction systems using schema-based approaches (e.g., Pydantic), function calling, JSON mode, and deterministic validation layers.
- Build and optimize retrieval strategies including chunking methodologies, metadata filtering, reranking, multi-query retrieval, deduplication, and retrieval evaluation.
- Integrate state-of-the-art LLMs to generate contextual analyses, explanations, recommendations, and domain-specific insights from structured and unstructured data.
- Design hybrid AI architectures that combine deterministic rules, heuristics, and domain knowledge with probabilistic AI models.
- Implement robust anti-hallucination mechanisms including context-grounded prompting, validation workflows, confidence scoring, and evidence traceability.

Computer Vision & Video Analytics
- Design and optimize computer vision pipelines for processing images and video

📌 Senior AIML Engineer LLM RAG Computer Vision MLOps (Kolkata)
🏢 flutrr
📍 Kolkata