India

Lead Principal Agentic Rag Engineer – Python Junagadh

Lead Principal Agentic Rag Engineer – Python Junagadh
Description
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

Secure agent execution patterns

Define patterns for:

Prompt versioning

Context management

Token and cost control

Collaborate closely with AgentOps to ensure production-protected 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/4n5d0n
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