
Generative AI Engineer
1 day ago
Title : Azure GenAI Engineer
Location : Mumbai, Pune, Chennai, Bangalore, kolkata, Noida, Hyderabad.
Work Mode : Hybrid
Job Type : Full-Time
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
(ref:hirist.tech)
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