Essential Job Functions: Design, develop, and maintain high-performance asynchronous Python APIs using FastAPI, Pydantic, and SQLAlchemy 2.0. Lead PostgreSQL database design activities, including schema modeling, migrations, and query optimization to ensure scalability and reliability. Implement and enhance secure authentication and authorization frameworks, including RBAC, OAuth2/OIDC, JWT validation, and API gateway policies. Define and govern API standards, including contract design, versioning strategies, and integration best practices across distributed systems. Build, deploy, and maintain AI agents using reusable vibecoding templates and blueprint-based development frameworks. Configure agent-to-tool integrations through MCP protocols, manage LLM routing strategies, and support AI-driven solution delivery. Collaborate with cross-functional teams to deliver secure, scalable, and innovative backend and AI-powered solutions.
Desired Candidate Profile
Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent combination of education and experience. Typically, 5+ years of professional experience developing backend applications with Python and modern web frameworks. Strong expertise in asynchronous Python development, FastAPI (or equivalent frameworks), and modern API design principles. Proven experience with PostgreSQL, including schema design, indexing, partitioning, migrations, and performance tuning. Hands-on experience implementing OAuth2, OpenID Connect (OIDC), JWT authentication, and integration with enterprise identity providers such as Microsoft Entra ID (Azure AD). Experience working with API gateway platforms such as Kong, Apigee, or similar technologies. Familiarity with Docker, Kubernetes fundamentals, and CI/CD pipeline implementation. Working knowledge of Large Language Model (LLM) APIs, prompt engineering techniques, and agent orchestration concepts.
Experience with AI agent frameworks, workflow automation, and MCP-based integrations is a plus. Knowledge of cloud-native architectures and modern distributed systems is preferred. Strong analytical, problem-solving, and communication skills. Demonstrated ability to learn emerging technologies and apply them in innovative business solutions. Relevant certifications in cloud technologies, DevOps, cybersecurity, or AI/ML are a plus.