Gen AI Engineer

Exciting opportunity in HCLTech

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Job Title: Gen AI Engineer

Exp: 7 to 10 Yrs

Location: Bangalore

Skill: Gen AI, LLMs, Prompt Engineering, RAG, Agentic AI, Orchestration, SDLC, Python

Job Summary

GenAI, LLMs & Prompt Engineering

• Model selection & capabilities (SLMs, LLMs, Multi-modal, Embeddings, etc)

• Advanced prompting (chain-of-thought, few-shot, structured outputs)

• Context engineering principles (context window optimization, retrieval-aware prompting)

RAG & Knowledge Engineering

• Document RAG

• Vector storage & semantic search

• Ingestion & retrieval pipelines

• Graph storage & Graph RAG

• Code RAG

• Traceability modeling (Req → Design → Test → Risk)

• Ontology / knowledge modeling

• Data curation & document intelligence (multi-format conversion, classification, intelligent tagging)

Agentic AI & Orchestration

• Tool calling & MCP

• Pipeline / workflow orchestration & state management

• Agent development (agent logic, tool definitions, agent behavior design, agent debugging)

• Multi-agent patterns & coordination

• Human-in-the-loop (HIL) patterns

• MCP server development

• Calibration & feedback loops (drift detection, pattern learning)

• Agent frameworks / harness design

Platform Engineering & Application Development

• Python

• API design & development

• Backend development

• Platform customization & porting (adapting existing codebase to new environments)

• Conversational / agent UI

• Streaming interfaces

• Graph / ontology visualization UX

• IDE plugin / extension development (developer tooling UX)

• Performance & cost optimization (token cost management, caching, latency)

SDLC, Tooling & Integration

• Source control

• ALM / PLM tool integration

• Enterprise system integration (APIs, webhooks, bidirectional sync)

• AI-based IDEs / coding agents

• DevOps & CI/CD integration (consuming / integrating with existing pipelines)

Domain & Soft Skills

• Critical thinking & problem solving

• Stakeholder communication & governance

• Troubleshooting & root cause analysis

• Technical documentation & knowledge transfer

• SDLC artifact intelligence

Regards,

Vadivelan M