Python AI Engineer

• Python AI Engineer

• 3-7yrs

• Trivandrum

We are hiring a Python AI Engineer with experience in building enterprise AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multi-agent frameworks. The ideal candidate should be comfortable designing scalable AI applications, integrating enterprise systems, and delivering production-ready intelligent automation solutions.

Key Responsibilities

• Design and implement agentic AI solutions using LangChain, LangGraph, CrewAI, or similar frameworks.

• Develop multi-agent systems capable of coordinating tasks, tool usage, and workflow execution.

• Build and optimize RAG pipelines, including document ingestion, embedding generation, indexing, and retrieval.

• Integrate foundation models such as GPT, Gemini, Llama, or equivalent into enterprise applications.

• Design connectors and integrations for APIs, databases, enterprise systems, and document repositories using MCP or similar protocols.

• Develop AI-powered applications, dashboards, and user interfaces using modern web technologies.

• Develop secure and scalable data processing workflows supporting AI operations and enterprise governance.

• Monitor, test, tune, and optimize AI agents for performance, accuracy, and reliability.

• Collaborate with business stakeholders to translate requirements into AI-driven solutions.

• Prepare technical documentation, architecture designs, and implementation guides.

• Deliver production-ready agentic AI workflows, RAG-based knowledge retrieval solutions, and enterprise integrations.

• Provide deployment support, performance optimization recommendations, and knowledge transfer documentation.

Required Skills

• Experience with Large Language Models (LLMs) and Generative AI application development.

• Hands-on experience with LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks.

• Strong understanding of RAG, embeddings, vector search, and semantic retrieval techniques.

• Proficiency in Python and API integration.

• Experience integrating enterprise data sources and external tools into AI workflows.

• Familiarity with cloud-native platforms and data engineering environments.

• Ability to design scalable, modular, and production-ready AI architectures.

Preferred Skills

• Experience with vector databases such as Pinecone, Chroma, Weaviate, or pgvector.

• Exposure to MLOps, AI monitoring, and observability tools.

• Experience in enterprise software delivery or client-facing environments.

• Knowledge of modern web frameworks for AI-enabled applications.

Preferred Qualifications

• Bachelor s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

• Strong analytical, problem-solving, and communication skills.

• Ability to work independently and collaboratively in a fast-paced environment.

Experience: 3 7 Years

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.