Lead Agentic AI Engineer - Commodities

Caspian One; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Caspian One seeks a Lead Agentic AI Full Stack Engineer to design, develop and deploy next‑gen AI platforms across trading, risk and operations. You will own production-grade AI products, architect scalable systems and drive adoption across critical workflows.

Join a hands-on team leveraging Azure OpenAI, Semantic Kernel and cloud-native services to enable smarter decision making and automated processes in global commodities markets.

Qualifications

• Proven experience delivering production AI solutions in commercial environments.
• Strong background with Azure stack and Microsoft AI tooling.
• Domain familiarity with commodities trading or front-office risk is a plus.

Responsibilities

• Lead the design and delivery of Agentic AI platforms at scale.
• Architect AI agents with planning, tool usage and autonomous execution.
• Establish guardrails for security, governance and resilience.

Skills

AI Platform architecture

Cloud architecture

Full stack development

Trading tech knowledge

Tools

Azure OpenAI

Azure AI Foundry

Semantic Kernel

Microsoft Fabric

Azure Databricks

AKS

Copilot

Job description

We are looking for a Lead Agentic AI Full Stack Engineer to lead the design, development and production deployment of next-generation AI platforms supporting front-office trading, commercial and risk functions across global commodities markets.

This role sits at the intersection of AI Engineering, Full Stack Development, Cloud Architecture and Trading Technology. You will take ownership of delivering production-grade AI products that augment trader workflows, automate complex operational processes, improve decision-making and unlock new commercial opportunities through Agentic AI.

You will architect and build scalable AI systems leveraging the Microsoft ecosystem, including Azure OpenAI, Azure AI Foundry, Semantic Kernel, Microsoft Fabric, Azure Databricks, AKS and Copilot technologies, whilst remaining hands-on across the entire engineering lifecycle. We are looking for someone who has successfully delivered AI solutions into production within highly commercial environments, ideally supporting commodities trading, energy trading, front-office risk, trade lifecycle, physical operations, optimisation or market analytics.

Agentic AI Platform Architecture & Delivery

Lead the architecture, design and implementation of enterprise-scale Agentic AI platforms. Build AI agents capable of planning, reasoning, tool usage, workflow orchestration and autonomous task execution.

• Memory architectures
• Long-running workflows
• Human-in-the-loop approvals
• Context management
• Tool calling and function execution
• Develop reusable AI platform services, SDKs, frameworks and engineering standards.
• Establish enterprise guardrails covering security, compliance, governance and operational resilience.
• Drive production-grade AI adoption across business-critical workflows rather than proof-of-concept implementations.