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Delivery Manager helping organisations obtain top tech talent
Location: [Manchester - Hybrid (3 days in office) / Home Working.
Salary: £50,000 - £70,000 base (dependent on experience and expertise)
We are seeking a Full-Stack Software Engineer to join a vibrant early-stage tech startup in Manchester.
Our client is an AI-driven company at the forefront of behavioural biometrics. It is building systems that understand how people behave, move, and interact with technology to enhance security, identity verification, and user experience.
They are looking for a Full-Stack Software Engineer to join the growing team and help bring these intelligent systems to life. You’ll play a key role in designing, developing, and deploying products powered by cutting-edge AI.
What You'll Be Doing as the Full-Stack Software Engineer:
* Develop full-stack applications that integrate advanced AI models and behavioural data
* Build intuitive and responsive front-end interfaces for real-time biometric insights
* Architect and maintain secure, scalable APIs and backend systems
* Work closely with our AI engineers to support and deploy ML models into production
* Build and maintain robust AWS pipelines, APIs, and end-to-end integrations
* Focus on efficiency — making the delivery of models faster, leaner, and smarter
* Collaborate with a team that brings together AI thinking and systems design
* Contribute to code testing, code reviews, and software best practices
* Develop solutions that run both in the cloud and on-device
* Drive integration of AI into real-world applications (think: user-facing apps, APIs, embedded systems)
What we’re looking for is a Full-Stack Software Engineer:
* Ideally, 3+ years of software engineering experience
* Experience working with AI/ML teams, and familiar with deploying or supporting ML modela
* Strong backend skills using Node.js, Python, or similar
* Experience with RESTful APIs, databases (SQL/NoSQL), and cloud platforms (AWS/GCP/Azure)
* A solid understanding of deploying and maintaining production-grade systems
You might be a great fit if you:
* Come from a strong software engineering background
* Have supported or helped integrate AI/ML models into production systems
* Understand cloud infrastructure (AWS preferred)
* Know how to work with pipelines, APIs, STKs, and full-stack architectures
* Have hands-on experience with deployment to devices or embedded systems
* Enjoy solving problems from a systems-thinking perspective
* Are passionate about improving code quality and delivery pipelines
* Believe in collaboration, continuous learning, and writing clean, efficient code
If you’re excited by the intersection of software engineering, AI, and human behaviour, we’d love to hear from you.
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Information Technology
* Industries
Technology, Information and Media
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