At a Glance
- Tasks: Lead the design and development of innovative cloud-based enterprise solutions.
- Company: Join a forward-thinking tech company focused on AI-driven engineering.
- Benefits: Enjoy competitive salary, health benefits, and opportunities for remote work.
- Other info: Great career growth potential in a collaborative and innovative team.
- Why this job: Make a real impact by leveraging cutting-edge technologies in a dynamic environment.
- Qualifications: Strong experience in software development, leadership, and problem-solving skills required.
The predicted salary is between 60000 - 80000 £ per year.
Lead/Senior Lead Software Engineer - Agentic AI Engineering (Enterprise Asset Management)
We are looking for a talented Lead/Senior Software Engineer to join our Enterprise Asset Management team and play a leading role in designing, developing, and implementing cloud‑based enterprise solutions.
The ideal candidate will demonstrate a strong leadership mindset, solid operational experience, and excellent problem‑solving and communication skills.
Responsibilities
- Evaluate, implement, and extend enterprise solutions while driving continuous improvements in software engineering practices across the team.
- Deliver scalable, reliable, and high‑quality Enterprise Asset Management solutions by leveraging the right technologies, tools, processes, and engineering practices.
- Champion industry best practices to enhance engineering efficiency, solution quality, maintainability, and operational excellence.
- Apply modern AI‑driven engineering practices, including agentic AI approaches, throughout the software development lifecycle.
- Align engineering decisions with business goals and deliver measurable value.
- Focus on customer needs, use feedback to guide technical direction, and promote a culture that prioritizes customer outcomes.
- Own delivery of results by removing blockers, setting clear priorities, maintaining high‑quality standards, delivering on commitments, raising risks early, and managing technical debt.
- Use AI tools effectively to improve engineering productivity and quality, and promote AI as a core engineering capability.
- Technical Skills
- Required
- Strong hands‑on experience with Go and modern backend development, ideally with Type Script/Node. js.
- Experience designing and building microservices, event‑driven systems, and RESTful APIs using technologies such as Kafka, Redpanda, and Kubernetes.
- Solid understanding of Domain‑Driven Design (DDD), bounded contexts, service decomposition, and distributed system design.
- Experience with Postgre SQL, Mongo DB, and cloud platforms such as AWS and Azure.
- Strong knowledge of CI/CD, automated testing (unit, integration, and end‑to‑end), observability, and production operations.
- Understanding of secure software development, authentication/authorization, and Dev Sec Ops practices.
- Experience using AI‑assisted development tools such as Git Hub Copilot, Cursor, Claude Code, or similar.
- Familiarity with AI‑assisted Spec‑Driven Development (SDD).
- Strong analytical and problem‑solving skills, with the ability to lead technical initiatives and mentor engineers.
- Beneficial
- Experience with React and modern frontend development.
- Experience building Enterprise Saa S or ERP products.
- Knowledge of LLMs, AI agents, RAG, context engineering, and AI evaluation in production environments.
- Experience designing and delivering enterprise‑grade AI‑powered applications.
- A degree in Computer Science, Software Engineering or Information Technology along with minimum 6 years' experience in a similar role.
- Excellent communication and multi‑tasking skills along with an innovative mindset.
- Employment Details
Full‑time position.
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Lead/Senior Lead Software Engineer - Agentic AI Engineering (Enterprise Asset Management) Londo[...] employer: Industrial and Financial Systems
Industrial and Financial Systems is an excellent employer, offering a dynamic work culture that prioritises collaboration and innovation in the heart of Greater London. Employees benefit from competitive salaries, flexible paid time off, and ample opportunities for professional growth, making it an ideal environment for those looking to make a meaningful impact in AI deployment.
Contact Details:
Industrial and Financial Systems Recruitment Team
