At a Glance
- Tasks: Lead the design and development of cloud-based enterprise solutions with cutting-edge AI technologies.
- Company: Join a forward-thinking company focused on innovative enterprise asset management.
- Benefits: Enjoy a competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborative culture with excellent career advancement opportunities.
- Why this job: Make a real impact by driving AI-driven engineering practices in a dynamic environment.
- Qualifications: Strong experience in software development, leadership skills, and a passion for problem-solving.
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) in London employer: IFS
IFS is an exceptional employer that fosters a dynamic work culture where innovation thrives. With a focus on employee growth, we offer extensive opportunities for professional development and a competitive salary package, including flexible paid time off and comprehensive health insurance. Join us in a collaborative environment where your contributions directly impact enterprise customers and the future of AI solutions.
