Python AI Engineer - RAG Pipelines & Autonomous Agents
CoreTek Labs
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 modern 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
Vacancy posted 23 days ago
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