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StarCompliance

Senior AI Product Engineer

York
Posted about 2 months ago
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Senior AI Product Engineer

Role

At StarCompliance, we build software that supports critical compliance needs for global clients. AI is now a core capability within our platform, embedded directly into our products and services.

We are seeking a Senior AI Engineer to design, build, and scale AI-powered features within the Star platform, with a focus on StarAssist and future AI-native capabilities.

This is a hands-on product engineering role. You will work within real systems, building production-grade AI services, APIs, and workflows that integrate LLMs into our SaaS platform. Your focus is to turn AI into reliable, scalable product functionality.

You will partner closely with Platform, Product Engineering, QA, and Architecture to deliver AI capabilities that are observable, testable, and embedded into the platform from day one.

How We Think About AI AI is not an assistant. It is part of the engineering system. We expect engineers in this role to:

Embed AI directly into development workflows, not use it as a separate tool Design repeatable, production-grade AI workflows, not one-off prompts Leverage agentic patterns such as multi-step execution, tool chaining, and parallelization Apply AI across the lifecycle: coding, testing, review, and delivery Balance speed with control, operating safely within a regulated SaaS environment Deliver measurable improvements in throughput, quality, and developer experience

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Responsibilities

Design and build AI-powered services and APIs (FastAPI, Python) Implement structured outputs and validation (Pydantic V2) Develop agent-based and multi-step workflows (e.g. Pydantic AI or similar) Build RAG-style solutions for contextual data retrieval Integrate AI services into .NET-based platform components Apply evaluation techniques (LLM-as-judge, precision/recall trade-offs) Implement monitoring, feedback loops, and model drift awareness Use tools such as DSPy (or similar) for optimisation and evaluation Deploy and operate services using Azure (OpenAI, Web Apps/Functions) Implement observability (Application Insights) and CI/CD (Azure DevOps) Contribute to infrastructure via Terraform Build high-quality, async Python services with strong testing (pytest) Collaborate with Product and Engineering to deliver AI-driven features Communicate progress, risks, and technical decisions clearly

Skills And Experience

Core Engineering Strong software engineering background (Python and/or C#/.NET) Experience building APIs and distributed SaaS systems Strong understanding of system design and integration AI & ML Experience building production AI/LLM-powered applications Familiarity with Azure OpenAI (or similar) Understanding of RAG, NLP concepts, and evaluation techniques Experience with agent workflows or orchestration patterns Data & Backend Experience with ORMs (SQLAlchemy, Alembic, or similar) Strong API and data modelling skills Experience with async Python Cloud & DevOps Experience with Azure environments and CI/CD pipelines Familiarity with Terraform and observability tooling

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Minimum Qualifications

Degree or equivalent Right to work in the country of employment

Integrity and Ethics

All StarCompliance employees are expected to commit to a high standard of personal integrity and carry out their responsibilities in an ethical manner.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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Skills

Python
C#
.NET
APIs
SaaS
AI
ML
Azure
NLP
ORMs
Async Python
Terraform
CI/CD
Pydantic
FastAPI
Application Insights

Location

York, England, United Kingdom

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