About Us

Hawk is the leading provider of AI-supported anti-money laundering and fraud detection technology. Banks and payment providers

globally are using Hawk’s powerful combination of traditional rules and explainable AI to improve the effectiveness of their AML

compliance and fraud prevention by identifying more crime while maximizing efficiency by reducing false positives. With our

solution, we are playing a vital role in the global fight against Money Laundering, Fraud, or the financing of terrorism. We offer

a culture of mutual trust, support and passion – while providing individuals with opportunities to grow professionally and make a

difference in the world.

Your Mission

As a Senior Full Stack Engineer at Hawk, your mission is to build the engine and the experience for our agentic AI Investigation

Agent — a new product that fundamentally rethinks how human analysts collaborate with autonomous AI to investigate financial

crime. You will own features end-to-end: from the LangGraph workflow that drives the agent's reasoning, through the FastAPI

services and Postgres/Redis infrastructure that make it reliable at scale, all the way up to the React/shadcn UI that surfaces the

agent's findings to analysts. This is a high-ownership role for someone who refuses to throw work over the wall — you ship the

whole feature, and you ship it well.

Key Responsibilities

Design, build, and operate the backend systems that power the Investigation Agent: LangGraph workflows, FastAPI services,

Postgres and Redis data layers, Kubernetes deployments, and Langfuse-based observability and evaluation.

Build the frontend surface that makes the agent's work legible: React + TypeScript components in shadcn/ui that surface agent

reasoning, evidence, and explainability so analysts can trust, challenge, or take over.

Own features end-to-end. You take a problem from spec to production — backend, frontend, infra, observability, evals — without

waiting for someone else to finish their part first.

Make the agent reliable. Build the eval harnesses, tracing, and feedback loops in Langfuse that turn "the model usually does

the right thing" into "the model demonstrably does the right thing, and we know when it doesn't."

Partner closely with Product/UX, Data Science, and the rest of Engineering to shape what gets built — not just how. You

question the "why" behind features and push back when something doesn't feel right.

Champion an AI-native engineering workflow. You use Claude Code, Cursor, or equivalent agentic coding tools as a daily part of

how you work, and you help raise the bar for how the team uses them. If you find yourself doing the same thing twice, your

natural instinct is to automate it.

Help establish engineering best practices for agentic products at Hawk: how we test agents, how we deploy them, how we monitor

them, how we roll back when they misbehave.

Your Profile

4+ years of professional software engineering experience, with substantial hands-on time in both Python and TypeScript/React.

(Note: We are open to exceptional candidates with 2-3 years of experience if they demonstrate a remarkably strong track

record.)

Deep backend expertise: Python, FastAPI, Postgres, Redis, and comfortable operating services on Kubernetes in production. You

understand the difference between code that works and code that works at 3am under load.

Strong frontend chops: React, TypeScript, and modern component libraries (shadcn/ui or Material UI). You don't need to be a

designer, but you care about how the thing looks and feels and you can build a clean, performant UI without supervision.

Genuinely full-stack mindset. You don't think of yourself as "a backend engineer who can do some frontend" or vice versa — you

think of features, and you build them.

Hands-on fluency with agentic coding tools (Claude Code, Cursor, or equivalent) as part of your daily workflow. You have an

opinion about what they're good at, what they're not, and how to get the most out of them.

Excellent holistic thinking and problem-solving skills. You shape the product rather than execute pre-defined tickets.

Excellent communicator with a collaborative mindset, capable of articulating technical trade-offs to both technical and

non-technical stakeholders.

Bonus

Production experience with LangGraph (or equivalent agent orchestration frameworks) and Langfuse (or equivalent LLM

observability/eval tooling).

Prior experience in Anti-Financial Crime (AML, fraud, compliance, or investigations tooling) — or a deep curiosity to go learn

the domain fast.

Roll

Senior Full Stack Engineer (Agentic AI)

Plats

Munich, Schweiz

Publicerad

6 juli

Sista ansökningsdag

16 augusti

Källa

Arbetsgivarens hemsida

Taggar för det här jobbet

Python React Kubernetes AI TypeScript Go Rust Redis

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