Mandatory Points:
- Candidate should be from Bangalore location, no relocation profiles.
- Candidate should be ready for F2F final round at client office in Bangalore
- Candidate should be flexible to work 3 days a week from client office, Hybrid mode.
- Minimum of 6-8 years of python development
- Minimum of 3 years of experience working on AI projects, with a focus on productizing AI solutions.
1) LLM & GenAI Engineering
- Hands-on experience with LLMs (commercial)
- Prompting patterns and structured outputs
- Strong experience implementing RAG architecture with ingestion pipelines, chunking strategies
- Vector database / vector search experience with Indexing, similarity search, metadata filtering
- Experience with MCP patterns, Standardizing tool/context access for models and agent runtimes
- Designing MCP servers/tool endpoints and integrating them into LLM apps
- Experience implementing agentic workflows, A2A patterns such as multi-agent collaboration (planner/executor/reviewer/retriever roles)
2) Programming & Engineering Excellence
- Python (advanced), APIs, pipelines, and AI orchestration
- Java/ReactJS (optional)
3) Demonstrated ability to leverage GitHub Copilot for code acceleration:
- Rapid scaffolding of code, services, APIs, and development
4) Data Skills — SQL + SQL Server, Microsoft Fabric(optional)
- SQL skills
- Query authoring, joins, indexing awareness
- Ability to design data access patterns for AI
5) Cloud
- Microsoft Azure foundry (preferred)
6) Observability & Production
- Experience operating and supporting AI-enabled services in production:
o Logging, metrics, tracing (APM tools such as Datadog)
o Model/prompt monitoring, drift signals, quality regression detection
Pay: ₹100,000.00 - ₹150,000.00 per month
Benefits:
Work Location: In person
