Azure Generative AI Engineer

Job Description :

Title : Azure GenAI Engineer

Location : Mumbai, Pune, Chennai, Bangalore, Kolkata, Noida, Hyderabad.

Work Mode : Hybrid

Exp : 6 to 8 Years & 8 To 12 Years

Job Summary :

We are hiring AI Engineers with strong expertise in Python, Generative AI, and multi-agent frameworks to join our growing AI/ML engineering team. You will play a key role in designing, developing, and deploying LLM-powered intelligent systems using frameworks like AutoGen, LangChain, and Azure AI services.

This role involves building multi-agent orchestration workflows, integrating with OpenAI APIs, and applying prompt engineering and retrieval-augmented generation (RAG) techniques to solve real-world business problems.

Key Responsibilities :

LLM System Development :

- Design, develop, and fine-tune LLM-powered applications and intelligent agents.

Multi-Agent Orchestration :

- Build agent workflows using AutoGen, LangChain, or similar frameworks for inter-agent and API communication.

Prompt Engineering :

- Craft effective prompts to optimize LLM behavior across diverse tasks and domains.

API Development & Integration :

- Develop and integrate APIs for interaction between agents, LLMs, and backend services.

Azure AI Integration :

- Leverage Azure Cognitive Services and cloud-native tools for scalable GenAI deployments.

RAG Implementation :

- Build and optimize retrieval-augmented generation pipelines for contextual awareness.

Code Review & Best Practices :

- Conduct peer code reviews and enforce high standards in code quality and architecture.

Team Collaboration & Mentorship :

- Collaborate with Development Managers and mentor junior developers to foster growth and innovation.

Mandatory Skills :

- Advanced Python programming

- Hands-on experience with AutoGen, LangChain, or similar multi-agent frameworks

- Strong expertise with OpenAI API (ChatGPT, GPT-4, etc.)

- Deep understanding of Prompt Engineering

- Experience building LLM-based systems

- Proficient in Azure AI and cloud services

- Experience with RAG (Retrieval-Augmented Generation) techniques

- Solid experience in API development and integration

Good to Have :

- Experience with vector databases (e.g., FAISS, Pinecone)

- Familiarity with MLOps, CI/CD pipelines for AI projects

- Prior experience in building enterprise-grade GenAI solutions