Talent Matchmakers

• Help build a production-grade AI agent platform designed to integrate with enterprise engineering tools and processes in the energy industry • Design and implement AI agents powered by LLMs that interact with engineering tools, APIs, and internal systems • Build multi-agent workflows that coordinate tasks across different systems • Develop integrations with multiple engineering platforms, APIs, and services • Build backend services using Python (e.g., FastAPI) • Design scalable LLM application components • Enable agents to retrieve and process information from structured and unstructured data sources • Develop APIs and connectors allowing agents to interact with internal tools • Package services using Docker and support deployment pipelines

• Help build a production-grade AI agent platform designed to integrate with enterprise engineering tools and processes in the energy industry • Design and implement AI agents powered by LLMs that interact with engineering tools, APIs, and internal systems • Build multi-agent workflows that coordinate tasks across different systems, including prompt orchestration, tool calling, task routing, and agent collaboration • Develop integrations with multiple engineering platforms, APIs, and services to enable agents to execute workflows across the engineering ecosystem • Build backend services using Python (e.g., FastAPI) that support agent execution, orchestration logic, and system integration • Design scalable LLM application components including prompt pipelines, agent control logic, response validation, and interaction flows • Enable agents to retrieve and process information from structured and unstructured data sources across enterprise systems • Develop APIs and connectors allowing agents to interact with internal tools, services, and engineering platforms • Package services using Docker and support deployment pipelines within a cloud-based infrastructure • Work closely with infrastructure engineers, frontend developers, cloud architects, DevOps engineers, and product stakeholders to iteratively improve the platform.