Forward‑Deployed AI Engineer (LLM / ML) @ Silent Eight

At Silent Eight, we develop our own AI-based products to combat financial crimes that enable things like money laundering, the financing of terrorism, and systemic corruption. We’re a leading RegTech firm working with large international financial institutions such as Standard Chartered Bank and HSBC. Join us and help make the world a safer place!

We solve hard, real‑world problems — from uncovering financial crime, fraud patterns and mule networks, through prioritising thousands of alerts, to crafting defendable case narratives. We work close to users (analysts, investigators, risk / compliance), iterate fast, and deliver in weeks, not quarters. The adversary adapts — this is an intelligence game, not an academic benchmark.

The Role

We’re looking for someone who solves business problems with technology. Less stack worship, more outcomes : fast risk identification, fewer false positives, faster time‑to‑decision, better explainability, and lower cost per case. Finance shows up often, but we think broader — investigations, decisions and client value across industries.

What We Offer

• Real influence on decisions in matters that actually count.
• Forward‑deployed autonomy — you stay close to the problem and solve it end‑to‑end.
• Remote forever - no offices, no commutes... ever
• Minimum Requirements
• A track record of delivery : 2–3 examples where your AI / ML solution materially improved process KPIs (any industry).
• Problem‑solving & communication : you can break down fuzzy problems and explain risks to non‑technical stakeholders.
• LLMs + ML in practice : RAG, prompting, tool‑calling; classification / ranking / deduplication; fundamentals of evaluation & experimentation.
• Python + SQL sufficient to build a prototype that works and can be maintained.
• Polish & English fluency for user conversations and concise write‑ups.

Nice to Have

Our Tech (lightweight)

We don’t fetishise the stack. Common tools : Python, SQL, notebooks / analysis tools, lightweight APIs (e.g., FastAPI), simple stores (e.g., Postgres), and vector indexes. We choose tools pragmatically — b usiness impact beats heavy infrastructure

Note : we don’t expect mastery of “every” tool. What matters are strong fundamentals, curiosity, and a habit of delivering  measurable outcomes .

At Silent Eight, we develop our own AI-based products to combat financial crimes that enable things like money laundering, the financing of terrorism, and systemic corruption. We’re a leading RegTech firm working with large international financial institutions such as Standard Chartered Bank and HSBC. Join us and help make the world a safer place!

We solve hard, real‑world problems — from uncovering financial crime, fraud patterns and mule networks, through prioritising thousands of alerts, to crafting defendable case narratives. We work close to users (analysts, investigators, risk / compliance), iterate fast, and deliver in weeks, not quarters. The adversary adapts — this is an intelligence game, not an academic benchmark.

The Role

We’re looking for someone who solves business problems with technology. Less stack worship, more outcomes : fast risk identification, fewer false positives, faster time‑to‑decision, better explainability, and lower cost per case. Finance shows up often, but we think broader — investigations, decisions and client value across industries.

What We Offer

,[ Go to the field : talk to users, shadow their workflows, capture the as‑is → goals & constraints. , Define hypotheses & KPIs (precision / recall, FPR, TAT, coverage, cost / decision) and turn them into experiment plans. , Design decision flows that mix LLMs, retrieval / RAG, classical ML, and lightweight rules; ensure explainability and auditability. , Build quick prototypes (notebook → lightweight service / API) and measure their impact on real data. , Create evaluation sets and scoring rubrics (offline + side‑by‑side + sanity checks + guardrails). , Present findings & recommendations directly to decision‑makers; propose rollout (pilot → production‑lite → scale). , Lead innovation processes across the company; test, promote solutions and mentor others with new AI technologies. ] Requirements : Python, Machine learning, Linux, SQL, AI, LLM, Jupyter Notebook, REST API, K8s, REST, Docker, pandas, UPS, Audit, FastAPI Tools : GIT. Additionally : Small teams, International projects, Startup atmosphere, No dress code, In-house trainings, In-house hack days.