AI ENGINEERING LEAD - Python

Happiest Minds Technologies; Bengaluru; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Happiest Minds Technologies in Bengaluru is seeking a senior AI engineer to design and build Generative AI solutions. You will develop RAG-based applications, integrate multiple LLMs, and create scalable APIs using FastAPI or Flask.

This role emphasizes prompt engineering, data processing pipelines, and knowledge retrieval systems across cloud platforms. You will collaborate with data scientists and stakeholders to deliver cost-efficient, secure, and high-performance AI workflows, advancing

Qualifications

• Proficient Python programming with hands-on AI/ML experience.
• Experience building Generative AI apps with LangChain/LangGraph.
• Strong knowledge of RAG architecture and vector stores.
• Experience in API design with FastAPI or Flask and cloud deployment.
• Experience with Docker, Kubernetes, CI/CD, and Git.

Responsibilities

• Design and develop Generative AI solutions using Python and LangChain.
• Build and optimize RAG-based apps using vector databases.
• Develop AI agents and multi-agent systems using LangChain, LangGraph, CrewAI, AutoGen.
• Integrate OpenAI, Azure OpenAI, Claude, Gemini, Llama, and other LLMs into business applications.
• Develop REST APIs and microservices for AI applications using FastAPI or Flask.
• Create prompt engineering strategies to improve model responses and accuracy.
• Implement document processing pipelines for PDFs, Word documents, emails, and structured/unstructured data.
• Work with embeddings, semantic search, vector databases, and knowledge retrieval systems.
• Collaborate with business stakeholders, architects, and data scientists to translate business requirements into AI-powered solutions.
• Optimize AI applications for scalability, security, performance, and cost efficiency.
• Monitor model performance and continuously improve AI workflows.

Skills

Python

LangChain

LangGraph

CrewAI

AutoGen

LLMs

RAG architecture

Vector databases

Pinecone

ChromaDB

Weaviate

FAISS

Azure AI Search

FastAPI/Flask

Prompt engineering

Function calling

Tool integration

PostgreSQL

MongoDB

SQL Server

Cosmos DB

Docker

Kubernetes

CI/CD

Git

Azure Cloud

AWS

GCP

Tools

Azure

Job description

• Design and develop Generative AI solutions using Python and LangChain.
• Build and optimize RAG-based applications using vector databases.
• Develop AI agents and multi-agent systems using LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks.
• Integrate OpenAI, Azure OpenAI, Claude, Gemini, Llama, and other LLM models into business applications.
• Develop REST APIs and microservices for AI applications using FastAPI or Flask.
• Create prompt engineering strategies to improve model responses and accuracy.
• Implement document processing pipelines for PDFs, Word documents, emails, and structured/unstructured data.
• Work with embeddings, semantic search, vector databases, and knowledge retrieval systems.
• Collaborate with business stakeholders, architects, and data scientists to translate business requirements into AI-powered solutions.
• Optimize AI applications for scalability, security, performance, and cost efficiency.
• Monitor model performance and continuously improve AI workflows.

• Design and develop Generative AI solutions using Python and LangChain.
• Build and optimize RAG-based applications using vector databases.
• Develop AI agents and multi-agent systems using LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks.
• Integrate OpenAI, Azure OpenAI, Claude, Gemini, Llama, and other LLM models into business applications.
• Develop REST APIs and microservices for AI applications using FastAPI or Flask.
• Create prompt engineering strategies to improve model responses and accuracy.
• Implement document processing pipelines for PDFs, Word documents, emails, and structured/unstructured data.
• Work with embeddings, semantic search, vector databases, and knowledge retrieval systems.
• Collaborate with business stakeholders, architects, and data scientists to translate business requirements into AI-powered solutions.
• Optimize AI applications for scalability, security, performance, and cost efficiency.
• Monitor model performance and continuously improve AI workflows.

Required SkillsTechnical Skills

• Strong programming experience in Python.
• Hands-on experience with LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks.
• Experience with LLMs such as OpenAI GPT, Azure OpenAI, Claude, Gemini, Llama, Mistral, etc.
• Knowledge of RAG Architecture and semantic search implementations.
• Experience with Vector Databases:
  • Pinecone
  • ChromaDB
  • Weaviate
  • FAISS
  • Azure AI Search
• Proficiency in API development using FastAPI or Flask.
• Understanding of Prompt Engineering, Function Calling, and Tool Integration.
• Experience with databases such as PostgreSQL, MongoDB, SQL Server, or Cosmos DB.
• Familiarity with Docker, Kubernetes, CI/CD pipelines, and Git.
• Experience working on Azure, AWS, or GCP cloud platforms.

Preferred Skills

• Experience with Agentic AI and Autonomous AI Agents.
• Knowledge of MCP (Model Context Protocol).
• Experience with Graph Databases such as Neo4j.
• Knowledge of Knowledge Graphs and Ontology models.
• Hands-on experience with Azure AI Studio, Azure Machine Learning, or Databricks.
• Exposure to NLP, Machine Learning, and Deep Learning concepts.
• Experience in chatbot, virtual assistant, or enterprise AI solution development.