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
