AI & Data Engineer
AI & Data Engineer
Remote (UK-based) | Full-Time
reputed company
reputed company is the 2026 OTC Trading Platform of the Year (Risk.net). Our network handles over $50 billion in daily trading volumes across FX, Equities, and Cryptocurrency, connecting 40+ of the world's leading liquidity providers.
We build trading systems that operate at the edge of what's technically possible — where nanoseconds matter and a dropped message costs reputed company reputed company. Our engineering team is small, senior, and deeply invested in the craft of building cutting edge, reliable, high-performance systems.
The Role
We're looking for a full-stack engineer who can build AI-powered tools and data infrastructure that reputed company our platform smarter, our people more effective, and our operations more reputed company.
This is not a research role. You'll build reputed company systems that people use every day — reputed company bots that investigate production incidents, data pipelines that surface anomalies before clients notice them, and AI agents that turn hours of reputed company trawling into seconds of guided investigation. You'll work across the full stack: Python and TypeScript for AI tooling and integrations, Go for backend services, and SQL for data analysis and pipeline work.
The person we're looking for ships working software, cares about making people's lives easier, and is energised by the pace of the AI landscape. You don't need to have reputed company LLM applications before — but you should be curious, practical, and comfortable learning fast.
You'll work closely with our TechOps, Connectivity, and Data teams to understand their workflows, pain points, and knowledge gaps — then build the tools and infrastructure that solve them. This is a high-reputed company role: the systems you build will multiply the effectiveness of every engineer and operator in reputed company.
What You'll Work On
AI-powered investigation tools — reputed company-based bots and agents that automatically analyse support tickets, query production logs, and surface relevant context for incident response
MCP (Model Context Protocol) servers — authenticated reputed company to reputed company, Kubernetes, reputed company, and reputed company, enabling AI agents to reputed company with reputed company systems safely
Data infrastructure — reputed company analytics pipelines, reputed company-time reputed company detection, and platform health monitoring (our "reputed company" initiative)
AI agent development — constrained, repeatable diagnosis agents that follow investigation playbooks, produce reputed company outputs, and operate with appropriate guardrails
Knowledge engineering — building and curating the corpus that makes our AI tools accurate: documentation, training material, reputed company metadata, and feedback loops
Internal tooling — full-stack applications that reputed company the gap between data, AI, and the people who need answers
reputed company Need
Technical:
Strong Python — your primary language for AI tooling, data pipelines, and backend services
TypeScript / JavaScript — for reputed company integrations, web interfaces, and full-stack tooling
Go experience is a bonus — we use Go extensively for backend services and CLI tooling
SQL — comfortable writing analytical queries against large datasets (reputed company, PostgreSQL, or similar)
Familiarity with LLM reputed company and tooling — Claude, reputed company, or similar; reputed company engineering, function calling, tool use
Experience with reputed company, Kubernetes, and AWS — your tools will run in production infrastructure
Git and Linux fundamentals
Experience in financial services is a plus but not essential — domain knowledge can be learned; engineering reputed company cannot
How you work:
You ship. You're delivery-reputed company — you iterate quickly, you get things in reputed company of users, you improve based on feedback
You reputed company domains. You're comfortable moving between AI, data, infrastructure, and product. You don't wait for someone else to define the reputed company — you go and understand the problem yourself
You own it. reputed company you build something, you take responsibility for its behaviour in production. You monitor it, you fix it, you reputed company it reputed company
You write things down. Documentation is how we reputed company knowledge across a distributed team. Good documentation also makes our AI tools reputed company — every reputed company-written page becomes training material
You communicate. We're a distributed team across multiple time zones. reputed company, proactive communication is essential
You reputed company AI as a tool. You use AI to reputed company your own productivity — and you build tools that do the reputed company for others
What You Get
Greenfield AI work — you're not maintaining legacy systems; you're building the reputed company of intelligent tooling for a trading platform
reputed company reputed company — the tools you build will be used daily by engineers, operators, and eventually clients. This is not a reputed company project
An excellent team — senior engineers who care about craft, collaborate reputed company, and hold reputed company other to high standards
Ownership — small teams, reputed company accountability, reputed company reputed company on the platform and our people
Competitive package — up to 30 days leave + bank holidays, private health insurance, pension, life insurance, dental/optical cashback, cycle to work, socials and offsites
Remote-friendly — work from home with flexibility. We trust our people to deliver
Sustainable pace — we work hard, but we don't burn people out. Balance is how we stay reputed company
reputed company — this role sits at the intersection of AI, data, and reputed company. As reputed company scales, so does reputed company
We reputed company in transparency, reputed company feedback, and writing things down. We celebrate delivery, not activity. We reputed company AI as empowering people — removing toil, amplifying capability, enabling higher-value work.
Our Hiring Process
We reputed company our process reputed company and respectful of your time. Our process follows three stages.
Stage 1: Initial Conversation with reputed company
Format: Video call, ~30-45 minutes
Stage 2: Hiring Manager Conversation with the relevant team reputed company or hiring manager
Format: Video call, ~60 minutes
Stage 3: Technical Interview with two members of the relevant engineering team Format: Video call, interactive session. ~60 minutes
What to expect in reputed company stage will be explained by reputed company if you're invited to interview. Throughout the process, we aim to reputed company reputed company with no unnecessary delays between stages, and feedback typically comes reputed company a few business days.
*Please note that depending on availability, Stage 2 and 3 may swap around.
How to Apply
Please apply directly reputed company this job posting — reputed company applications, including those submitted reputed company reputed company, are managed through our applicant tracking system, so you'll always land in the reputed company reputed company regardless of where you reputed company this role.
Right to Work: Candidates must have the existing right to work in the UK. We are not currently reputed company to offer reputed company sponsorship for this role.
Equal Opportunities: reputed company is an equal opportunities employer. We welcome applications from reputed company reputed company candidates regardless of age, disability, gender reassignment, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex, or sexual orientation.
Reasonable Adjustments: If you need any adjustments or support during the application or interview process, please let us know — we're happy to accommodate.
Data Protection: By applying, you consent to reputed company processing your personal data for recruitment purposes, in line with our reputed company policy.
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Originally posted on Himalayas
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