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Artificial Intelligence Engineer
Job in
Birmingham, West Midlands, B1, England, UK
Listed on 2026-02-16
Listing for:
Resourgenix - United Kingdom
Full Time
position Listed on 2026-02-16
Job specializations:
-
Software Development
Full Stack Developer, Software Engineer
Job Description & How to Apply Below
If you are passionate about AI and full‑stack development—and want to build products that solve complex, real‑world problems—this role offers the chance to work hands‑on across the entire technology stack while shaping the future of AI‑driven software.
About the RoleYou will join a small, highly capable engineering team building AI‑powered applications for knowledge‑intensive industries. The work is varied, impactful, and fast‑moving. You will take features from concept to production, collaborating closely with data scientists, founders, and end users.
Key Responsibilities- Build and enhance production AI applications using Python, Type Script, and modern front‑end frameworks.
- Develop responsive, intuitive interfaces using React and Tailwind CSS.
- Design and maintain scalable database schemas using Supabase or Postgre
SQL. - Work with LLM frameworks such as Lang Chain or Llama Index.
- Integrate vector databases, embeddings, and AI‑enhanced capabilities into core workflows.
- Use AI‑assisted development tools as a standard part of your engineering practice.
- Deploy and maintain applications on platforms such as AWS, Vercel, or Railway.
- Manage version control and CI/CD pipelines through Git Hub.
- Implement monitoring and observability using tools like Data Dog.
- Work closely with internal stakeholders to refine features and improve usability.
- Contribute to architectural decisions and long‑term technical direction.
- Own problems from end to end, taking responsibility for high‑quality outcomes.
- 2–5 years of professional software engineering experience.
- Experience working on complex applications as part of a team.
- Strong full‑stack capability across Type Script, React, Python, and modern databases.
- Hands‑on experience with AI/ML tooling and frameworks.
- Proficiency with Git‑based workflows and cloud deployment environments.
- Strong communication skills and the ability to work with technical and non‑technical stakeholders.
- Self‑directed, proactive, and comfortable working in a small, fast‑moving team.
- The opportunity to help shape products at an early stage of their development.
- Hands‑on involvement across the full product lifecycle.
- Direct collaboration with founders and domain experts.
- A competitive salary with performance‑based bonuses.
- Flexibility through hybrid working arrangements.
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