AI Enabled SDLC Engineer in London

AI Enabled SDLC Engineer in London

London Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and build Python/FastAPI services while leading engineering teams.
  • Company: ClearRoute, an innovative engineering consultancy focused on quality and collaboration.
  • Benefits: Flexible work environment, supportive culture, and opportunities for personal growth.
  • Other info: Diverse and inclusive workplace that values individual perspectives and work-life balance.
  • Why this job: Join a dynamic team to shape the future of software development with cutting-edge technology.
  • Qualifications: Experience in Python, FastAPI, and agentic editors; strong problem-solving skills.

The predicted salary is between 60000 - 80000 £ per year.

About Us: ClearRoute is an engineering consultancy bridging Quality Engineering, Cloud Platforms and Developer Experience. We help enterprises reliably bring high-impact digital products to market faster, cheaper, and safer, working with technology leaders facing complex business challenges. We take as much pride in our people, culture and work-life balance as we do in making better software. We’re not just making better software. We’re making the making of software better. Collaborative, entrepreneurial and dedicated to problem solving, we bring the step change our customers need to sustain innovation. Our values challenge us to do the best we can for ClearRoute, our customers and most importantly our team. This is an opportunity for you to build the organisation from the ground up, use your voice to drive change and help transform organisations and problem domains.

Role: Hands-on technical lead responsible for delivering production-quality Python/FastAPI services on agentic development platform. Senior engineering presence within a fast-moving, matrixed programme, expected to lead by example, set standards, and drive delivery without waiting for direction. Works directly with chief architect to translate an evolving platform vision into working, well-tested software increments. Plays a central role in scaling agentic ways of working across 120+ engineers, acting as a practitioner-coach for teams onboarding onto AI-assisted development. Operates at the intersection of application delivery and platform adoption, building real services while helping establish the engineering culture the programme depends on.

Key Responsibilities:

  • Design, build, and ship Python/FastAPI services on the platform, owning quality from acceptance criteria through to production.
  • Establish and enforce engineering guardrails through acceptance tests, architecture tests, and coded standards covering line limits, design patterns, import rules, and layering.
  • Use agentic editors (Claude Code, Cursor, etc.) as a core daily delivery tool and guide other engineers on safe, productive, and governed use.
  • Identify and mitigate agent failure modes in practice — including prompt injection, scope creep, hallucinated APIs, and unsafe code edits — before they reach production.
  • Work cross-functionally across cloud, AI, Snowflake, and application teams to proactively surface blockers, resolve ambiguity, and keep delivery momentum.

Required Experience:

  • 6+ months of sustained, hands-on delivery using agentic editors (Claude Code, Cursor, or equivalent) in a real production codebase — evidenced with specific examples, not experiments or demos.
  • Strong Python and FastAPI in production — building application-layer backend services, not infrastructure scripting or automation.
  • Deep, practical understanding of agent failure modes and how to mitigate them within an engineering delivery workflow.
  • Acceptance and architecture testing fluency — writes tests before code by instinct, and can enforce coding standards programmatically through automated test suites.
  • Proven ability to lead technical delivery in ambiguous, fast-moving environments without a dedicated product manager.

Desirable Experience:

  • Experience working in financial services or a regulated enterprise environment where governance, audit, and compliance are first-class concerns.
  • Background re-architecting legacy or Excel-based applications into modern, well-structured services.
  • Exposure to internal developer platforms or paved-road engineering — understanding how platform and application layers interact.
  • Experience coaching or mentoring engineers on agentic development practices, including how to review, test, and govern AI-generated code.
  • Familiarity with the broader technology stack: AWS-native development, GitHub Actions pipelines, and integration with skills marketplace or API catalogue patterns.

At ClearRoute, we believe diverse perspectives lead to better outcomes, and inclusion creates the conditions for everyone to thrive. We are proud to have built a family friendly working environment and have many employees who have caring responsibilities alongside work. We welcome applications from people who require flexibility and will be happy to discuss needs on an individual basis. We are committed to fostering a culture where all team members feel respected, supported, and empowered to do their best work. We celebrate individuality and our differences and understand that some differences may mean that you require changes made to the interview process. We are happy to cater to your needs to make the interview accessible, if this is something you require please let us know by emailing us at join@clearroute.io

AI Enabled SDLC Engineer in London employer: ClearRoute

At ClearRoute, we pride ourselves on fostering a collaborative and inclusive work culture that prioritises employee well-being and professional growth. As an AI Enabled SDLC Engineer, you will have the opportunity to lead innovative projects while working alongside a diverse team of experts in a family-friendly environment that values flexibility and individual needs. With a strong commitment to quality engineering and continuous improvement, ClearRoute offers a unique platform for you to make a meaningful impact in the tech industry.

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Contact Details:

ClearRoute Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Enabled SDLC Engineer in London

Tip Number 1

Network like a pro! Reach out to folks in your industry, especially those at ClearRoute. A friendly chat can open doors and give you insights that a job description just can't.

Tip Number 2

Show off your skills! If you've got a portfolio or GitHub with projects using Python and FastAPI, flaunt it. Real examples of your work can speak volumes more than just words on a CV.

Tip Number 3

Prepare for the interview by understanding ClearRoute's values and culture. Think about how your experiences align with their mission of making software better. It’s all about showing you’re a great fit!

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the ClearRoute team.

We think you need these skills to ace AI Enabled SDLC Engineer in London

Python
FastAPI
Agentic Editors (Claude Code, Cursor)
Acceptance Testing
Architecture Testing
Automated Test Suites
Technical Leadership

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the AI Enabled SDLC Engineer role. Highlight your experience with Python and FastAPI, and don’t forget to mention any hands-on work with agentic editors. We want to see how your skills align with what we’re looking for!

Showcase Your Projects:Include specific examples of your past projects that demonstrate your ability to deliver production-quality services. We love seeing real-world applications of your skills, so share those success stories that highlight your problem-solving abilities and technical expertise.

Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use clear language to describe your experiences and achievements. We appreciate a well-structured application that makes it easy for us to see why you’d be a great fit for our team!

Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our ClearRoute family!

How to prepare for a job interview at ClearRoute

Know Your Tech Inside Out

Make sure you’re well-versed in Python and FastAPI, as these are crucial for the role. Brush up on your experience with agentic editors like Claude Code or Cursor, and be ready to discuss specific projects where you've used them effectively.

Showcase Your Problem-Solving Skills

Prepare examples that highlight how you've tackled complex challenges in fast-paced environments. ClearRoute values problem-solving, so think about times when you’ve led a team through ambiguity or helped resolve blockers.

Emphasise Collaboration

Since the role involves working cross-functionally, be ready to talk about your experiences collaborating with different teams. Share how you’ve fostered a collaborative culture and helped onboard others onto new practices.

Be Ready to Discuss Quality Assurance

Quality is key at ClearRoute, so come prepared to discuss your approach to acceptance and architecture testing. Highlight how you enforce coding standards and ensure quality from the get-go, perhaps by sharing your instinctive habit of writing tests before code.