Azure GenAI Engineer

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 systemsProficient in Azure AI and cloud services

Experience with RAG (Retrieval-Augmented Generation) techniques

Solid experience in API development and integration