Python AI EngineerRole Overview

Total Exp: 6+ yrs

Notice: Immediate only

If interested please apply here or share cv to [email protected]

Location: Bangalore (Hybrid)/Anywhere in India (Remote)

We are looking for a Python AI Engineer to design, develop, and deploy scalable, production-grade AI applications and services. The ideal candidate will have strong expertise in Python, FastAPI, Generative AI, LLMs, RAG, AI agents, cloud technologies, and microservices architecture .

The role involves building enterprise AI solutions, integrating LLMs and AI services, and developing secure, scalable backend systems.

Key ResponsibilitiesAI & Generative AI

- Build AI-powered applications including RAG systems, AI copilots, conversational AI, and intelligent agents .
- Integrate LLMs such as OpenAI, Azure OpenAI, Anthropic, Gemini, and Llama .
- Design RAG pipelines, prompt engineering, embeddings, semantic search, and LLM orchestration .
- Build AI workflows using LangChain, LangGraph, Semantic Kernel, CrewAI , or similar frameworks.
- Implement vector search using Pinecone, Weaviate, ChromaDB, FAISS , or equivalent technologies.
- Develop agentic AI solutions using tool/function calling and enterprise system integrations .
- Support AI evaluation, monitoring, deployment, and optimization.

Python & Backend Engineering
- Design and develop high-performance APIs and backend services using Python and FastAPI .
- Build scalable microservices and asynchronous applications .
- Develop integrations with third-party APIs and enterprise systems.
- Implement authentication, authorization, security, logging, and error handling.
- Optimize application performance, scalability, reliability, and maintainability.
- Apply strong software engineering practices including OOP, design patterns, clean architecture, and asynchronous programming .

Data & Cloud
- Work with PostgreSQL, MongoDB,



and Redis for application and AI workloads.
- Build containerized applications using Docker and deploy using Kubernetes .
- Develop and deploy solutions on Azure, AWS, or GCP .
- Implement CI/CD pipelines, monitoring, logging, and production support .

Collaboration & Engineering
- Participate in technical design and architecture discussions.
- Conduct code reviews and contribute to engineering standards and best practices.
- Collaborate with AI, data, product, and engineering teams to translate business requirements into scalable AI solutions.

Required Skills
- Strong hands-on expertise in Python .
- Strong experience with FastAPI, REST APIs, microservices, and asynchronous programming .
- Hands-on experience building production-grade Generative AI/LLM applications .
- Solid understanding of RAG, vector databases, embeddings, prompt engineering, and LLM orchestration .
- Experience with LangChain, LangGraph, Semantic Kernel, CrewAI , or similar frameworks.
- Experience with one or more LLM platforms: OpenAI, Azure OpenAI, Anthropic, Gemini, or Llama .
- Experience with PostgreSQL and/or NoSQL databases .
- Hands-on experience with Docker, CI/CD, and at least one major cloud platform .
- Understanding of AI agents, tool calling, model evaluation, and AI observability .

Preferred Qualifications
- Experience building Agentic AI and enterprise AI solutions .
- Experience with Microsoft Copilot ecosystem / Semantic Kernel .
- Exposure to Databricks, Microsoft Fabric , or other enterprise data platforms.
- Experience with Neo4j or graph-based solutions .
- Understanding of MLOps/LLMOps, AI governance, security, and responsible AI .
- Experience working in enterprise or consulting environments.

Education
- Bachelor's or Master's degree in Computer Science, Engineering, Information Technology , or a related field.
- Relevant Cloud, AI, or Data Engineering certifications are a plus.

📌 Python AI Engineer (Bangalore Metropolitan Area)
🏢 GrowthArc
📍 Bangalore Metropolitan Area