2x Senior AI Engineer (GenAI / Agentic AI) Supply, Trading & Shipping (ST&S) – Global Energy Organisation
Contract Details
Start: ASAP
Initial Duration: 3 months (Extension likely)
Location: UK Remote with occasional London onsite requirements
Working Pattern: Must be comfortable overlapping with US time zones
Overview
We are supporting a major global energy organisation in scaling advanced AI capability across its Supply, Trading & Shipping (ST&S) business supporting teams across Europe and the US.
We are looking for 2x Senior AI Engineers with strong, hands-on experience designing, building, and deploying production-grade GenAI and agentic AI solutions within enterprise environments.
This is a delivery-focused engineering role, not a traditional data science or research-led position.
The client is specifically seeking individuals who have successfully implemented real-world AI systems that support business operations and commercial decision-making.
The successful candidates will work closely with trading and commercial stakeholders to develop practical AI-driven solutions within a fast-paced, iterative environment.
Key Responsibilities
• Design, build, and deploy production-grade GenAI / LLM / agentic AI solutions
• Develop scalable AI workflows and integrations aligned to business use cases
• Work directly with trading and commercial users to translate requirements into practical AI solutions
• Build and maintain AI orchestration, evaluation, and monitoring capabilities
• Integrate AI services with enterprise systems, APIs, and data pipelines
• Support rapid prototyping and iterative delivery of AI functionality
• Contribute to architecture, tooling, and engineering best practices across AI delivery
Required Experience
• Strong hands-on AI engineering experience focused on GenAI, LLMs, and agentic AI systems
• Proven experience deploying AI solutions into live production environments
• Deep practical understanding of modern AI tooling and frameworks
• Experience with agent frameworks, orchestration, evaluation methodologies, and AI workflow design
• Strong Python engineering capability
• Experience building APIs, integrations, and scalable data pipelines
• Comfortable working in cloud-native and containerised environments
• Strong stakeholder engagement and communication skills
• Comfortable operating in fast-paced, evolving delivery environments
Highly Desirable
• Experience within commodities, trading, front-office, or market-facing environments
• Energy or oil & gas industry exposure
• Experience supporting globally distributed teams across UK and US time zones
Important Context
The client has already screened a number of candidates with strong theoretical or traditional ML/data science backgrounds who lacked depth in production-grade GenAI delivery.
This role requires candidates with genuine hands-on experience implementing enterprise AI systems in real-world environments.
Candidates with primarily academic, experimental, or early-stage AI exposure are unlikely to be suitable.
Candidate Profile
The ideal candidate will be able to demonstrate:
• Production deployment of GenAI / LLM / agentic AI systems
• Strong engineering and integration capability
• Practical experience with AI orchestration and evaluation
• Ability to engage directly with business stakeholders
• Delivery-focused mindset with strong commercial awareness
Contract Details
Start: ASAP
Initial Duration: 3 months (Extension likely)
Location: UK Remote with occasional London onsite requirements
Working Pattern: Must be comfortable overlapping with US time zones
Overview
We are supporting a major global energy organisation in scaling advanced AI capability across its Supply, Trading & Shipping (ST&S) business supporting teams across Europe and the US.
We are looking for 2x Senior AI Engineers with strong, hands-on experience designing, building, and deploying production-grade GenAI and agentic AI solutions within enterprise environments.
This is a delivery-focused engineering role, not a traditional data science or research-led position.
The client is specifically seeking individuals who have successfully implemented real-world AI systems that support business operations and commercial decision-making.
The successful candidates will work closely with trading and commercial stakeholders to develop practical AI-driven solutions within a fast-paced, iterative environment.
Key Responsibilities
• Design, build, and deploy production-grade GenAI / LLM / agentic AI solutions
• Develop scalable AI workflows and integrations aligned to business use cases
• Work directly with trading and commercial users to translate requirements into practical AI solutions
• Build and maintain AI orchestration, evaluation, and monitoring capabilities
• Integrate AI services with enterprise systems, APIs, and data pipelines
• Support rapid prototyping and iterative delivery of AI functionality
• Contribute to architecture, tooling, and engineering best practices across AI delivery
Required Experience
• Strong hands-on AI engineering experience focused on GenAI, LLMs, and agentic AI systems
• Proven experience deploying AI solutions into live production environments
• Deep practical understanding of modern AI tooling and frameworks
• Experience with agent frameworks, orchestration, evaluation methodologies, and AI workflow design
• Strong Python engineering capability
• Experience building APIs, integrations, and scalable data pipelines
• Comfortable working in cloud-native and containerised environments
• Strong stakeholder engagement and communication skills
• Comfortable operating in fast-paced, evolving delivery environments
Highly Desirable
• Experience within commodities, trading, front-office, or market-facing environments
• Energy or oil & gas industry exposure
• Experience supporting globally distributed teams across UK and US time zones
Important Context
The client has already screened a number of candidates with strong theoretical or traditional ML/data science backgrounds who lacked depth in production-grade GenAI delivery.
This role requires candidates with genuine hands-on experience implementing enterprise AI systems in real-world environments.
Candidates with primarily academic, experimental, or early-stage AI exposure are unlikely to be suitable.
Candidate Profile
The ideal candidate will be able to demonstrate:
• Production deployment of GenAI / LLM / agentic AI systems
• Strong engineering and integration capability
• Practical experience with AI orchestration and evaluation
• Ability to engage directly with business stakeholders
• Delivery-focused mindset with strong commercial awareness
