AI Engineer - Agentic AI/Python/LLM

• Build multi-agent systems and stateful workflows using Google ADK, LangChain, and LangGraph.
• Must have strong experience in AWS OpenSearch - Indexing and Vector embeddings.
• Develop secure Python APIs and integrations.
• Manage prompt engineering, memory, and context management.
• Implement structured outputs using JSON Schema and Pydantic.
• Apply guardrails, fallback logic, and hallucination controls.
• Establish observability, tracing, and evaluation frameworks, including LLM-as-a-Judge evaluation patterns.

The ideal candidate should have strong experience in building AI-powered applications and agentic systems, with a solid foundation in Back End engineering and cloud-native development., * Strong Python and Back End engineering experience.

• Hands-on experience with LLM APIs such as Gemini, OpenAI, and Claude.
• Experience with agent orchestration frameworks.
• Public cloud expertise (GCP, AWS, or Azure) - essential.
• Experience with containers, cloud deployments, and CI/CD pipelines.
• Strong testing mindset and engineering discipline.
• Systems thinking, asynchronous workflows, and state management experience.