Lead Principal Agentic RAG Engineer – Python (Junagadh)

About the Role We are hiring a senior, hands-on Agentic RAG Engineer to design, build, and operate the Retrieval-Augmented Generation platforms that power our autonomous AI agents. This is a lead-by-example role:
- You design the architecture
- You write the Python
- You ship to production
- You mentor engineers by building real systems

You will lead the technical direction of RAG and agent memory systems, while remaining deeply involved in implementation, observability, and operational readiness. GCP is our primary platform, but all designs should be multi-cloud capable.

Key Responsibilities RAG & Backend Engineering (Python-First)
- Design and build production-grade RAG pipelines
- Implement:
- Retrieval strategies
- Vector database integrations
- Agent memory and state management
- Prompt orchestration and chaining
- Build scalable Python services using FastAPI / Django / similar
- Integrate LLM APIs (OpenAI, Claude, Gemini) and open-source models (Llama, Mistral)
- Implement model/version rollout, rollback, and simulation testing

Agentic Systems & Workflow Design
- Build and operate multi-step agent workflows
- Enable:
- Tool calling
- Human-in-the-loop interventions
- Protected agent execution patterns
- Define patterns for:
- Prompt versioning
- Context management
- Token and cost control
- Collaborate closely with AgentOps to ensure production-safe execution

Full-Stack & Observability
- Design and contribute to internal UIs for:
- Agent execution monitoring
- Decision and reasoning audits
- Prompt testing and visualization
- Implement structured logging and telemetry for:
- Retrieval quality
- Agent decisions
- Token usage and latency
- Work with Prometheus, Grafana, OpenTelemetry, or ELK-based stacks

Cloud, DevOps & Production Readiness
- Own deployment pipelines for RAG and agent services
- Work hands-on with:
- Docker
- Kubernetes
- Terraform
- CI/CD pipelines
- Ensure secure API design, auth, sandboxing, and operational guardrails
- Optimise for scalabili Apply on Kit Job: kitjob.in/job/4mwvl2