Generative AI Engineer

3 weeks ago

Chennai, India HARP Technologies And Services Pvt Ltd Full time

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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