AI Enabled SDLC Engineer

AI Enabled SDLC Engineer

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead the development of Python/FastAPI services and drive engineering culture.
  • Company: ClearRoute, an innovative engineering consultancy focused on quality and collaboration.
  • Benefits: Flexible working environment, supportive culture, and opportunities for personal growth.
  • Other info: Diverse and inclusive workplace committed to work-life balance.
  • Why this job: Join a team transforming software development with cutting-edge AI technologies.
  • Qualifications: Experience in Python, FastAPI, and agentic editors; strong problem-solving skills.

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

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.

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 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. Our commitment to quality engineering and continuous improvement ensures that you will not only contribute to impactful software solutions but also develop your skills in a supportive setting that encourages creativity and problem-solving.

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Contact Details:

ClearRoute Recruitment Team

StudySmarter Expert Advice🤫

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

Tip Number 1

Get to know the company culture before your interview. Check out ClearRoute's values and see how they align with yours. This will help you connect better during the chat and show that you're genuinely interested in being part of the team.

Tip Number 2

Prepare some solid examples of your past work, especially around Python and FastAPI. Be ready to discuss how you've tackled challenges in fast-paced environments. This will demonstrate your hands-on experience and problem-solving skills, which are key for the role.

Tip Number 3

Don’t just wait for the interviewer to ask questions. Bring up topics like agentic development practices or your thoughts on engineering guardrails. This shows you're proactive and have a deep understanding of the role, making you stand out.

Tip Number 4

Finally, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining ClearRoute and contributing to our mission of making software better.

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

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

Some tips for your application 🫡

Show Your Passion for Tech:When you're writing your application, let your enthusiasm for technology shine through! We love seeing candidates who are genuinely excited about AI and software development. Share your experiences and projects that highlight your passion.

Tailor Your Application:Make sure to customise your application to fit the role of AI Enabled SDLC Engineer. 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 you can contribute to our team!

Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your skills and experiences. We appreciate a well-structured application that makes it easy for us to see why you’d be a great fit for ClearRoute.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re serious about joining our team!

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 in production.

Showcase Your Problem-Solving Skills

Prepare examples that highlight how you've tackled complex challenges in fast-paced environments. ClearRoute values entrepreneurial spirit, so demonstrate your ability to lead technical delivery without waiting for direction.

Understand the Bigger Picture

Familiarise yourself with the intersection of application delivery and platform adoption. Be ready to discuss how you can help establish an engineering culture while delivering high-quality services.

Be Ready to Discuss Governance and Compliance

If you have experience in regulated environments, make sure to highlight it. ClearRoute places importance on governance, so be prepared to talk about how you’ve navigated compliance issues in past roles.