Artificial Intelligence Engineer

Gen AI engineer – Energy Trading Our 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 O nDesigning and refining autonomous AI agent s using modern orchestration frameworks (e.g., LangGraph, Semantic Kernel) and a mix of cloud-hosted and open-source language models .Developing complete agent workflow s, 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 infrastructur e using container orchestration and infrastructure-as-code tools (e.g., Kubernetes, Terraform/Bicep, CI/CD pipelines) .Implementing secure-by-default system s, including identity management, secrets handling, and automated access controls .Monitoring and optimizing performanc e, using observability tooling to track cost, latency, throughput, and agent quality .Collaborating directly with domain specialist s to iterate rapidly—turning sketches into working prototypes in weeks, not months . What We’re Looking F or4–6 years of software engineering experien ce, including at least two years deploying workloads on a major cloud provide r.Strong Python skil ls (async, typing, production code practices) alongside practical TypeScript experience for bot or workflow integration s.Hands-on experience with LLM or conversational-AI syste ms, including model APIs, RAG patterns, or agent framework s.Solid Kubernetes and Docker skil ls, with at least one real production service shipped in container s.Good command of SQL and data workflo ws, ideally with relational stores and event-streaming system s.A track record of owning solutions end-to-e nd, especially those used by internal teams or external customer s.