Artificial Intelligence Engineer

Gen AI engineer – Energy TradingOur Energy Trading client is looking to build out an AI team to work on a number of projects across their business. They are seeking an engineer who can take an idea for an intelligent agent and turn it into a reliable, production-ready system.What You’ll Be Working OnDesigning and refining autonomous AI agents using modern orchestration frameworks (e.g., LangGraph, Semantic Kernel) and a mix of cloud-hosted and open-source language models.Developing complete agent workflows, from event triggers to model endpoints to user-facing integrations. Expect to work with systems like n8n, Ray Serve, vector stores (pgvector, cloud search), and messaging surfaces such as Teams or similar platforms.Building and operating cloud infrastructure using container orchestration and infrastructure-as-code tools (e.g., Kubernetes, Terraform/Bicep, CI/CD pipelines).Implementing secure-by-default systems, including identity management, secrets handling, and automated access controls.Monitoring and optimizing performance, using observability tooling to track cost, latency, throughput, and agent quality.Collaborating directly with domain specialists to iterate rapidly—turning sketches into working prototypes in weeks, not months.What We’re Looking For4–6 years of software engineering experience, including at least two years deploying workloads on a major cloud provider.Strong Python skills (async, typing, production code practices) alongside practical TypeScript experience for bot or workflow integrations.Hands-on experience with LLM or conversational-AI systems, including model APIs, RAG patterns, or agent frameworks.Solid Kubernetes and Docker skills, with at least one real production service shipped in containers.Good command of SQL and data workflows, ideally with relational stores and event-streaming systems.A track record of owning solutions end-to-end, especially those used by internal teams or external customers.