Generative AI Engineer

Location: Bengaluru

Job Title:

Generative AI Engineer

Experience:

6–9 years

About the Role

We are seeking a  Generative AI Engineer with 6–9 years of experience  who can independently explore, prototype, and present the art of the possible using LLMs, agentic frameworks, and emerging Gen AI techniques. This role combines deep technical hands-on development with non-technical influence and presentation skills.
You will contribute to key Gen AI innovation initiatives, help define new protocols (like MCP and A2A) and deliver fully functional prototypes that push the boundaries of enterprise AI — not just in Jupyter notebooks, but as real applications ready for production exploration.

Key Responsibilities

LLM Applications & Agentic Frameworks
Design and implement end-to-end LLM applications using  OpenAI, Claude, Mistral, Gemini, or LLaMA on AWS, Databricks, Azure or GCP .
Build intelligent, autonomous agents using  Lang Graph, Auto Gen, Llama Index, Crew.ai, or custom frameworks .
Develop  Multi Model, Multi Agent, Retrieval-Augmented Generation (RAG)  applications with secure context embedding and tracing with reports.
Rapidly explore and showcase the  art of the possible through functional, demonstrable POCs .
Advanced AI Experimentation
Fine-tune  LLMs and Small Language Models (SLMs)  for domain-specific use.
Create and leverage  synthetic datasets  to simulate edge cases and scale training.
Evaluate agents using  custom agent evaluation frameworks (success rates, latency, reliability) .
Evaluate emerging agent communication standards —  A2A (Agent-to-Agent) and MCP (Model Context Protocol) .
Business Alignment & Cross-Team Collaboration
Translate  ambiguous requirements into structured, AI-enabled solutions .
Clearly communicate and present  ideas, outcomes, and system behaviors to technical and non-technical stakeholders .

Good-To-Have

Microsoft Copilot Studio
Dev Rev
Codium
Cursor
Atlassian AI
Databricks Mosaic AI

Qualifications

6–9 years of experience  in software development or AI/ML engineering.
At least  3 years working with LLMs, GenAI applications, or agentic frameworks .
Proficient in  AI/ML, MLOps concepts, Python, embeddings, prompt engineering, and model orchestration .
Proven track record of developing  functional AI prototypes beyond notebooks .
Strong  presentation and storytelling skills  to clearly convey GenAI concepts and value.
Ability to  independently drive AI experiments from ideation to working demo .