Role Overview :

We are looking for an AI/ML Engineer with 4+ years of experience, including 3+ years of hands-on experience in Agentic AI OR LLM/Generative AI.

The engineer will work with technical and project teams to design, develop, integrate, and deploy AI/ML solutions. The role requires strong Python and software engineering skills, along with practical experience building AI-powered applications.

Key Responsibilities :

- Design and develop AI/ML solutions and applications using Python.

- Build and integrate LLM/Generative AI applications or AI agent solutions based on project requirements.

- Develop RAG-based applications, prompt workflows, and LLM integrations where required.

- Build AI agents using frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or PydanticAI.

- Integrate AI solutions with REST APIs, databases, and existing enterprise applications.

- Develop and maintain scalable AI services using FastAPI or similar frameworks.

- Deploy and support AI/ML applications on Azure and/or Databricks.

- Work with development and platform teams on CI/CD, testing, deployment, monitoring, and production support.

- Maintain clean, reusable, and well-documented code using Git and standard development practices.

- Understand project requirements and work with technical teams to deliver practical AI solutions.

Required Skills :

- 4+ years of experience in AI/ML, Machine Learning, Artificial Intelligence, or related software engineering roles.

- 3+ years of hands-on experience in Agentic AI OR LLM/Generative AI.

- Strong Python development experience.

- Practical experience with LLMs, RAG, prompt engineering, or AI agents.

- Experience with at least one framework such as LangGraph, LangChain, CrewAI, AutoGen, or PydanticAI.

- Experience with REST APIs and application integration.

- Familiarity with Azure and/or Databricks.

- Experience with Git and CI/CD practices.

- Good communication and problem-solving skills.

Good to Have :

- Experience with both Agentic AI and LLM/Generative AI.

- Exposure to MLOps/LLMOps and AI application monitoring.

- Experience with Azure OpenAI, Azure AI Search, vector databases, MLflow, or LangSmith.

- Familiarity with Docker, Kubernetes, or event-driven architectures.

- Experience using AI-assisted development tools such as GitHub Copilot, Windsurf, or Codeium.

Education : Bachelor's or master's degree in computer science, AI/ML, Data Science, Engineering, or a related technical field.