• 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