Role : AI/ML Engineer - Generative AI & Agentic AI

We are looking for an experienced AI/ML Engineer with strong hands-on experience in Generative AI, LLMs, RAG, and Agentic AI. The ideal candidate will be responsible for designing, developing, and deploying scalable enterprise-grade AI applications and intelligent agent-based solutions.

Key Responsibilities :

- Design and develop Generative AI and LLM-based applications for enterprise use cases.
- Build and implement RAG (Retrieval-Augmented Generation) workflows using enterprise data sources.
- Develop AI Agents and multi-agent systems using frameworks such as LangGraph, CrewAI, or PydanticAI.
- Develop effective prompt engineering strategies and optimize LLM performance.
- Build scalable AI solutions using Python and modern AI/ML frameworks.
- Integrate AI applications with REST APIs, WebSockets, and event-driven architectures.
- Work with Databricks and cloud-based AI platforms to develop and deploy AI solutions.
- Implement production-ready CI/CD pipelines using Jenkins and Git.
- Collaborate with product, engineering, and business teams to translate requirements into AI-driven solutions.
- Ensure AI applications are scalable, secure, reliable,



and production-ready.

Must-Have Skills :

- 7 years of experience in AI/ML or software engineering with relevant AI experience.
- Solid hands-on experience with Python.
- Strong experience in Generative AI and LLMs.
- Hands-on experience building RAG workflows and LLM applications.
- Experience with Agentic AI / AI Agents.
- Experience with one or more agent frameworks: LangGraph, CrewAI, PydanticAI.
- Strong understanding of Prompt Engineering.
- Experience with Databricks and Cloud AI platforms.
- Strong knowledge of REST APIs, WebSockets, and event-driven architecture.
- Experience with Jenkins CI/CD and Git.
- Experience developing and deploying enterprise AI applications.

Good to Have :

- Experience with multi-agent architectures and orchestration.
- Knowledge of vector databases and embedding technologies.
- Experience with LLM evaluation, observability, and performance optimization.
- Understanding of AI security, governance, and responsible AI practices.
- Experience working with Azure AI Foundry, AWS Bedrock, or Google Cloud AI platforms.

📌 Funic Tech - AI/ML Engineer - Generative & Agentic AI (India)
🏢 FUNIC TECH PRIVATE
📍 India