TCS Hiring for Generative AI/ Document Intelligence Engineer
Experience Range: - 12 To 15 Years (Mandatory)
(Note: Candidates below 12 years of IT experience shall not be considered)
JOB LOCATION: Bengaluru
JOB DESCRIPTION
Key Skills:
1) 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
2) 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)
Solid 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)
3) 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
4) AI‑Augmented Engineering (Prompt Coding & AI Pairing):
Robust ability to use prompt engineering / prompt coding to generate, debug, and accelerate production-quality code
Demonstrated capability to pair-program effectively with AI tools, iterating prompts and validating outputs
Ability to apply judgement on when to rely on vs avoid AI-generated code, especially for security or critical logic
Experience integrating AI into engineering