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Summary

A client of Coretek Labs is immediately hiring for a Python AI Engineer – RAG Pipelines & Autonomous Agents

Title: Python AI Engineer – RAG Pipelines & Autonomous Agents

Position type: Full Time/ Contract

Location: Hybrid/Remote

Python AI Engineer – RAG Pipelines & Autonomous Agents, You will:

Generative Agentic AI Engineering

- Build and optimize LLM driven autonomous agents, multi agent systems, and tool using workflows.
- Develop Model Context Protocol (MCP) servers and structured context?management frameworks.
- Architect scalable RAG pipelines (embeddings, vector search, retrieval layers, grounding strategies, prompt engineering).
- Implement LLM function calling, multi step orchestration, guardrails, evaluation frameworks, and safety/quality controls.

Python Enterprise AI Engineering

- Build high performance Python microservices and AI APIs using FastAPI, Flask, LangChain, LlamaIndex, and MCP SDKs.
- Engineer distributed AI systems for large scale inference, retrieval, and multi agent orchestration.

Technologies Ecosystem

- Use Jupyter Notebooks, Tachyon, and enterprise GenAI platforms for experimentation and model refinement.
- Leverage GitHub Copilot and up-to-date DevSecOps workflows to accelerate development.
- Contribute to reusable AI patterns, enterprise accelerators, and Responsible AI guardrails.

Cloud Platform Engineering

- Deploy and operate AI solutions on Google Cloud Platform (GKE, Vertex AI, Cloud Run,



IAM).
- Containerize and orchestrate AI services using Red Hat OpenShift and enterprise Kubernetes.
- Build and manage CI/CD pipelines aligned to DevOps best practices.

Data Integration & Retrieval

- Work with vector databases (MongoDB Atlas Vector Search, Chroma, Pinecone, Redis, pgVector).
- Build secure, scalable retrieval layers, embedding pipelines, and long term AI memory modules.

Architecture, Governance & Delivery

- Participate in architecture reviews and contribute to compliant AI governance frameworks.
- Ensure adherence to risk, security, and regulatory standards.
- Lead POCs, engineering improvements, and innovation workstreams with minimal oversight.

The ideal candidate will have:

- Experience building LLM generative AI or agentic AI systems.
- Experience in Python (async programming, APIs, microservices, distributed systems).
- Experience with GCP and OpenShift/Kubernetes for scalable AI deployments.
- Experience with RAG pipelines, embeddings, vector search, and LLM orchestration.
- Experience with Jupyter, Tachyon, GitHub Copilot, CI/CD, and modern DevOps tooling.
- Demonstrated ability to work independently and drive AI innovation.
- Familiarity with LangChain, LlamaIndex, and APIs for OpenAI, Google Gemini, or similar models.
- Experience with enterprise observability stacks (Grafana, Cloud Logging, Prometheus).

Apply on Kit Job: kitjob.in/job/45g64b

📌 Python AI Engineer – RAG Pipelines & Autonomous Agents (Nellore)
🏢 CoreTek Labs
📍 Nellore