Python AI Engineer

Overview

Python AI Engineer

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

Pay: ₹25,000.00 - ₹95,000.00 per month

Benefits:

• Flexible schedule
• Health insurance
• Provident Fund
• Work from home

Work Location: In person