Artificial Intelligence Engineer

• 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.