
Azure GenAI Engineer
2 weeks ago
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
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