At a Glance
- Tasks: Build scalable systems using Python and AI, driving innovation and quality.
- Company: Join a forward-thinking tech company with a focus on craftsmanship and collaboration.
- Benefits: Enjoy remote work, flexible hours, and a dedicated learning budget.
- Other info: Participate in exciting co-working sessions and annual retreats.
- Why this job: Make an impact in AI-native development while honing your engineering skills.
- Qualifications: 4+ years in software engineering with hands-on AI/ML experience.
The predicted salary is between 70000 - 90000 £ per year.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Craftsperson/Python/AI based in the United Kingdom. This role sits at the intersection of software engineering and AI-native development, where craftsmanship and automation work hand in hand. You will contribute to building high-quality, scalable systems while actively leveraging AI as a co-creator across the software development lifecycle. The environment is highly autonomous, consultative, and impact-driven, with strong expectations around ownership and technical excellence. You will work on solving complex product and engineering problems while shaping engineering practices across teams and initiatives. The role emphasizes clean design, maintainable systems, and continuous improvement through feedback and experimentation. It is ideal for engineers who enjoy working across Python-based systems, modern AI tooling, and end-to-end product delivery in a fast-evolving technical landscape.
Accountabilities
- Own the end-to-end lifecycle of engineering initiatives, ensuring delivery readiness, production stability, and smooth execution across all phases.
- Design and deliver scalable, maintainable features with strong attention to architecture, quality, and long-term sustainability.
- Identify technical, product, and process inefficiencies and proactively drive improvements across teams and systems.
- Use AI tools actively to accelerate design, development, testing, debugging, and delivery workflows.
- Contribute to DevEx and delivery improvements using modern engineering practices, including DORA metrics and flow optimization.
- Support estimation, planning, and vertical slicing discussions to ensure clear, incremental delivery of value.
- Provide technical leadership through mentoring, feedback, and guidance across team and pod-level initiatives.
- Collaborate with stakeholders to clarify requirements, resolve ambiguity, and align on outcomes.
- Influence engineering standards including code quality, testing approaches, and system design practices.
Requirements
- 4+ years of software engineering experience, including 2+ years working hands-on with AI/ML systems in production environments.
- Strong proficiency in Python or TypeScript (with willingness to work across both), and solid fundamentals in data structures, algorithms, and software design.
- Hands-on experience building production applications using LLMs (e.g., GPT, Claude, or similar) for tasks such as document processing, extraction, or classification.
- Strong experience in prompt engineering and improving structured outputs from LLMs for real-world business use cases.
- Experience with LLM orchestration tools and frameworks such as LangChain, LlamaIndex, or similar, and familiarity with vector databases such as Pinecone, Qdrant, or PgVector.
- Working knowledge of LLMOps practices including CI/CD, prompt versioning, evaluation, monitoring, and cost optimization.
- Experience designing scalable backend systems, APIs, and data pipelines in production environments.
- Familiarity with Agile/XP practices, continuous delivery, and collaborative engineering workflows.
- Strong communication skills with the ability to work effectively in cross-functional, client-facing environments.
- Experience using version control systems (Git), writing technical documentation, and working in modern cloud-based infrastructure.
Benefits
- Fully remote-first work environment with flexible scheduling across time zones.
- Opportunity to work in an AI-native engineering culture focused on craftsmanship and quality.
- Twice-yearly in-person co-working sessions and annual company retreat (fully covered).
- Dedicated learning and development budget to support continuous skill growth.
- Sponsorship for conferences, talks, and external learning opportunities.
- Comprehensive medical and term insurance coverage.
- Home office support and employee-friendly leave policies.
- Strong engineering culture centered on pairing, experimentation, and continuous improvement.
Software Craftsperson/Python/AI employer: Jobgether
Our partner company offers an exceptional work environment for Software Craftspersons in the UK, promoting a fully remote-first culture that prioritises flexibility and craftsmanship in AI-native engineering. With a strong emphasis on continuous learning, employees benefit from dedicated development budgets, sponsorship for conferences, and biannual co-working sessions, fostering collaboration and innovation. The company's commitment to technical excellence and employee well-being makes it an ideal place for engineers seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Software Craftsperson/Python/AI
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Jobgether or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Jobgether.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Jobgether.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Jobgether that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Software Craftsperson/Python/AI
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Jobgether.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Jobgether and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Jobgether
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Jobgether uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
