Artificial Intelligence Engineer

Job description :

- Design, develop, and deploy agentic workflows using Python and agent frameworks like Agno, Google ADK, LangGraph, CrewAI, or similar.

- Build and orchestrate autonomous agents and multi-agent systems to solve complex business problems.

- Collaborate with product managers, data scientists, and platform engineers to define and implement AI-driven use cases.

- Integrate agents with external APIs, databases, and enterprise systems to enable end-to-end automation.

- Develop reusable components, libraries, and templates to accelerate agent development.

- Ensure scalability, reliability, and observability of agentic systems in production environments.

- Contribute to architectural decisions and best practices for agent-based AI systems.

- Stay current with advancements in agentic AI, LLM orchestration, and Python ecosystem tools.

- Participate in code reviews, design discussions, and agile ceremonies.

Skillset :

- 5+ years of professional experience in Python development, with strong understanding of OOP, async programming, and design patterns.

- Exposure towards agentic frameworks (e.g., Agno, Google ADK, LangGraph, CrewAI, AutoGen, etc.)

- Strong understanding of RESTful APIs, microservices, and event-driven architectures.

- Familiarity with vector databases, embedding models, and retrieval-augmented generation (RAG) patterns.

- Experience with cloud platforms (e.g., GCP, Azure, AWS) and containerization (Docker, Kubernetes).

- Proficiency in PostgreSQL : schema design, query optimization, and integration with Python applications.

- Excellent problem-solving skills and ability to work independently in a fast-paced environment.