Position: Python AI/ML & Generative AI Engineer

Experience: 5+ Years

Location-Bangalore,Kochi,Hyderabad,Pune,Chennai

Job Summary

We are looking for a highly skilled Python AI/ML & Generative AI Engineer to design, develop, and deploy scalable AI/ML and Generative AI solutions for enterprise applications.

The ideal candidate should have strong hands-on expertise in Python, Machine Learning, Deep Learning, LLMs, Generative AI, RAG, AI Agents, and cloud-based AI platforms. The candidate will be responsible for building production-ready AI applications, developing intelligent agents and workflows, integrating LLMs with enterprise data, and implementing scalable AI solutions.

Key Responsibilities

- Design, develop, and deploy AI/ML and Generative AI solutions for enterprise applications.
- Develop scalable AI applications using Python.
- Build and optimize ML models for prediction, classification, recommendation, and automation use cases.
- Develop GenAI applications using LLMs, RAG, vector databases, and AI agents.
- Design and implement AI agents, agentic workflows, planning and multi-agent systems.
- Develop RAG-based solutions using enterprise knowledge repositories and context-retrieval mechanisms.
- Implement prompt engineering, context engineering, structured outputs, and AI guardrails.
- Build scalable APIs and microservices using FastAPI or Flask.
- Integrate LLMs through APIs such as OpenAI, Azure OpenAI, Anthropic, Bedrock, Gemini, or equivalent platforms.
- Implement vector search and semantic retrieval using Pinecone, FAISS, ChromaDB, Weaviate, or similar technologies.
- Fine-tune, evaluate, and optimize LLMs and foundation models.
- Implement MLOps/LLMOps practices for model deployment, monitoring, and lifecycle management.
- Evaluate model performance, grounding quality, hallucination rates, and overall AI solution accuracy.




- Collaborate with backend, platform, and business teams to convert AI use cases into production-ready solutions.
- Ensure AI solutions meet security, governance, scalability, and performance requirements.

Mandatory Skills
- Python Strong hands-on experience
- Machine Learning: Scikit-Learn, XGBoost, LightGBM
- Deep Learning: TensorFlow / PyTorch
- Generative AI & LLMs
- Prompt Engineering
- RAG / Retrieval-Augmented Generation
- LangChain / LangGraph or equivalent agent-orchestration frameworks
- AI Agents / Agentic AI
- Vector Databases: Pinecone / FAISS / ChromaDB / Weaviate
- LLM APIs: OpenAI / Azure OpenAI / Anthropic / Bedrock / equivalent
- FastAPI / Flask
- SQL and NoSQL databases
- Experience with AWS / Azure / GCP AI services

Valuable-to-Have Skills
- MLOps / LLMOps
- Kubernetes and Docker
- Apache Spark / Databricks
- Knowledge Graphs
- NLP / Computer Vision
- Data Engineering Pipelines
- AI evaluation and observability frameworks
- AI Guardrails
- GitHub Copilot
- CI/CD and DevOps practices

Required Qualifications
- Bachelor's or Master's degree in Computer Science, AI, ML, Data Science, or a related discipline.
- 5+ years of hands-on Python development experience.
- 2+ years of hands-on experience in AI/ML or Generative AI projects.
- Strong understanding of ML algorithms, model evaluation, and data engineering concepts.
- Strong hands-on experience developing production-grade AI/GenAI applications.
- Strong problem-solving and communication skills.

Preferred Experience
- Enterprise AI assistants, copilots, chatbots, or GenAI applications.
- RAG-based solutions using enterprise knowledge repositories.
- Autonomous, tool-using, planning, and multi-agent systems.
- AI agent development using LangGraph/LangChain or equivalent frameworks.
- Deployment of AI/ML models using cloud platforms and MLOps tools.
- Agile/Scrum development environments.

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