Applied AI Engineer: Enterprise GenAI & Workflow Enablement

Castleton Commodities International, LLC; Greater London; On-site; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Medical Insurance

Wellness Programs

Family Leave

Volunteer Days

Charitable matches

Tuition Reimbursement

Awards Programme

Discount Program

Paid Time Off

Learning Opportunities

Job summary

Castleton Commodities International, LLC is seeking an Applied AI Engineer to join the Global Data Science team and drive adoption of enterprise AI tooling. You will design AI context, configure tools, and enable stakeholders to use AI safely and effectively.

You will collaborate with traders and technologists to turn business needs into reliable, reusable AI-enabled workflows, with strong emphasis on governance, documentation, and knowledge bases.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Information Systems, Business Analytics, Economics, Mathematics, or a related technical or quantitative field.
• 2+ years of experience in data analytics, business analysis, technology enablement, AI implementation, automation, systems configuration, or a related role.
• Strong practical experience using generative AI tools to improve analysis, documentation, coding, research, workflow automation, or business productivity.
• Working knowledge of LLM concepts, including prompting, context windows, retrieval, hallucination risk, structured outputs, model selection, and evaluation tradeoffs.
• Familiarity with applied AI patterns such as RAG, embeddings, vector search, document extraction, tool calling, agentic workflows, and human‑in‑the‑loop review.

Responsibilities

• Partner with traders, analysts, operators, technologists, and business stakeholders to identify workflows where AI can reduce manual effort, improve quality, or accelerate analysis.
• Configure and support approved AI tools and platform capabilities, including GenAI projects, agents, skills, knowledge bases, SQL resources, model presets, and MCP‑enabled tools.
• Design and maintain high‑quality AI context, including system instructions, prompt templates, examples, reference materials, retrieval sources, workflow guardrails, and output formats.
• Support RAG and document‑intelligence workflows, including document ingestion, chunking, metadata design, retrieval quality, structured extraction, and validation with subject‑matter experts.
• Evaluate AI outputs for accuracy, groundedness, completeness, formatting, usability, and business value; use feedback and test cases to improve configurations over time.
• Create reusable playbooks, templates, demos, and reference materials that help technology and commercial teams use AI safely and effectively.
• Communicate AI capabilities, limitations, risks, and recommended usage patterns clearly to both technical and non‑technical stakeholders.
• Stay current on practical advancements in applied AI, context engineering, enterprise copilots, agentic workflows, RAG, and AI evaluation methods.

Skills

Python

SQL

LLM concepts

Communication

Problem solving

Education

Bachelor’s or Master’s in a technical field

Tools

langgraph

langchain

Pydantic models

NumPy

FastAPI/MCP

Git

Job description

Castleton Commodities International, LLC is seeking an Applied AI Engineer to join the Global Data Science team and drive adoption of enterprise AI tooling. You will design AI context, configure tools, and enable stakeholders to use AI safely and effectively.

You will collaborate with traders and technologists to turn business needs into reliable, reusable AI-enabled workflows, with strong emphasis on governance, documentation, and knowledge bases.