Job Summary :

We are looking for an experienced Agentic AI Engineer to design, build, and deploy AI-powered applications for internal products and client projects. The ideal candidate should have hands-on experience with Agentic AI, Python, Azure, LangGraph, and modern AI frameworks, along with a strong software engineering background.

Key Responsibilities :

- Design, develop, and deploy Agentic AI applications and multi-agent systems.

- Build AI POCs, production applications, APIs, and backend services.

- Develop AI workflows using LangGraph, Azure AI Foundry, MCP, and Claude Code.

- Work with SQL, PostgreSQL, vector databases, and cloud infrastructure.

- Write clean, scalable, and well-tested code with proper documentation.

- Collaborate with distributed teams and participate in code reviews.

- Continuously learn and implement new AI technologies and best practices.

Required Skills :

- 4+ years of software engineering experience with Python.

- Hands-on experience with Agentic AI and production AI applications.

- Strong experience with Microsoft Azure and Azure AI Foundry.

- Experience with LangGraph, Model Context Protocol (MCP), and Claude Code.

- Knowledge of FastAPI, Docker, GitHub, SQL, PostgreSQL, and vector databases.

- Experience working with LLMs such as GPT, Claude, and Gemini.

- Good understanding of testing, code quality, and software engineering best practices.

- Excellent communication and problem-solving skills.

Good to Have :

- Google Cloud Platform (GCP)

- Snowflake or Databricks

- LangChain, CrewAI, LlamaIndex

- Redis, Celery, Apache Airflow, Kafka

- Kubernetes (AKS), Azure Container Apps

- Playwright and AI evaluation frameworks