Options Group
Forward Deployed AI Engineer
London
Posted about 13 hours ago
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Job Description
Our client is a leading commodity trader with a significant footprint in Oil Energy + Metals Trading.
Responsibilities
- Embed with commercial teams to understand their workflows, constraints, and business objectives; identify high-value opportunities for AI solutions
- Translate business problems into clear technical requirements, solution designs, and delivery plans to build, integrate, and deploy agentic solutions
- Development of internal GenAI platform, extending its capabilities through new integrations, data connectors, MCP servers, tool-calling, and domain-specific skills
- Apply a broad range of AI and modelling techniques, including LLMs, RAG, NLP, time-series forecasting, and optimization, to commodity pricing, supply/demand signals, trade flow analysis, and operational optimization problems
- Communicate requirements, technical constraints, and reusable patterns back to the foundational AI and platform engineering teams
- Present capabilities, assumptions, and limitations clearly to traders and senior management, supporting confident commercial decision-making and building trust in AI outputs among technical and non-technical audiences
- Champion AI best practice on the desk and across the team
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Skills / Qualifications:
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- Degree in computer science, statistics, mathematics, data science, or related field
- Fluency in Python for both applied AI and engineering purposes: clean, modular, well-documented code, with strong understanding of software engineering best practices
- Minimum 3 years of experience in software engineering, AI engineering, machine learning, data science or a related hands-on technical role
- Practical understanding of generative AI concepts, including prompt engineering, retrieval-augmented generation, tool use, agentic workflows, model evaluation, and responsible AI considerations. Including proficiency with modern GenAI orchestration and tooling frameworks (e.g. LangChain, LlamaIndex, or equivalent)
- Experience with cloud platforms (AWS preferred)
- Excellent communication skills, both written and verbal; able to engage effectively with technical teams and commercial stakeholders
- Self-motivated and comfortable working autonomously in a fast-paced environment
- Strong curiosity for emerging AI developments, with a proactive commitment to continuously learning, experimenting and expanding your skills
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Skills
Python
AI Engineering
Machine Learning
Data Science
Generative AI
NLP
Time-Series Forecasting
Optimization
Cloud Platforms
Communication Skills
Self-Motivated
Curiosity
Prompt Engineering
Model Evaluation
Responsible AI
Software Engineering
Location