Python Agentic AI Engineer

We are seeking a Python Agentic AI Engineer to design, build, and deploy scalable AI agent and backend solutions. The role combines Python, agentic AI, LLMs, RAG, AWS, APIs, microservices, and event-driven architectures to deliver production-ready AI applications. Roles and Responsibilities Design and develop autonomous and multi-agent solutions using Google ADK or Agent SDK. Build agent workflows, tool calling, orchestration, and context management capabilities. Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques. Develop RAG solutions using embeddings and vector databases. Build and integrate REST APIs, microservices, and event-driven architectures. Develop scalable backend applications using Python, Django, GraphQL, and PostgreSQL. Deploy and manage cloud-native applications on AWS. Support data pipelines/ETL, application security, scalability, and resilience. Implement AI observability, evaluation, security, governance, and guardrails. Apply Domain-Driven Design (DDD), agile methodologies, testing, and code-review best practices. Collaborate with product, engineering, data science, design, and business teams. Required Skills & Experience 7+ years of professional software engineering/system architecture experience. Strong expertise in Python, particularly Django and GraphQL. Hands-on experience with AI agent development using Google ADK or Agent SDK. Strong experience with LLM integration, prompt engineering, and agent orchestration. Experience with Gemini/OpenAI models, tool calling, function calling, structured outputs, and grounding. Hands-on experience building RAG applications, vector databases, and embeddings. Strong experience with AWS cloud-native application development. Experience with REST APIs, microservices, SOA, and event-driven architectures. Experience with PostgreSQL and data pipelines/ETL. Knowledge of AI observability, evaluation, security, governance, and guardrails. Strong understanding of scalable, resilient, and production-ready system architecture. Strong collaboration and communication skills. Preferred Skills React and Apollo GraphQL Domain-Driven Design (DDD) Agile methodologies AI evaluation frameworks CI/CD and automated testing Experience working in collaborative, in-person engineering environments