Role & responsibilities

Core AI & ML Skills

- Hands-on experience building GenAI solutions (LLMs, RAG pipelines, embeddings, semantic search)
- Practical use of OCR and document intelligence techniques across unstructured data (PDFs, images, scanned forms)
- Robust understanding of NLP concepts (entity extraction, classification, keyword detection)
- Experience with agentic / multi****agent architectures and workflow-based AI systems
- Ability to adapt or fine-tune models for accuracy, confidence scoring, and explainability

Architecture & System Design

- Proven ability to design end-to-end AI platforms, beyond proof-of-concepts
- Experience with large-scale document pipelines (ingestion processing indexing retrieval)
- Strong knowledge of RAG vs alternative architectures (hybrid search,



knowledge graphs, semantic indexing)
- Experience with event-driven and serverless patterns for scalable processing
- Ability to reason about trade-offs (accuracy vs cost, latency vs scale, complexity vs maintainability)

Cloud & Platform Engineering

- Strong experience in at least one major cloud platform (AWS preferred)
- Familiarity with:
- Object storage (e.g. S3)
- Serverless compute (e.g. Lambda)
- Managed AI/ML and OCR services
- Infrastructure-as-Code mindset (e.g. Terraform or equivalent)
- Ability to design cloud-agnostic solutions where required.

📌 Gen AI +AWS Engineer (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru