Senior python backend software developer Work, Jobs (with Salaries)

Senior AI Product Engineer
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- Full-time
- Hybrid work
- Azure
- DevOps
- System design
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Blockchain.com —London
- Full-time
- Remote
- Java
- JavaScript
- AI
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Principal Data Engineer
ComplyAdvantage —London
- Hybrid work
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- Master's degree
- AWS
- Annual leave
- Life insurance
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- English
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Senior AI Product Engineer

StarCompliance -
York

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Job details

Full-time

Qualifications

Data modelling
Azure
Law
DevOps
C#
System design
.NET
Master's degree
Terraform
Natural language processing
APIs
SaaS
AI
Python

Full job description

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

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

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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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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