At a Glance
- Tasks: Develop and maintain complex backend systems for cutting-edge AI Agents.
- Company: Join Signify Technology, a pioneering platform backed by top-tier investors.
- Benefits: Enjoy remote work flexibility and a fast-paced, autonomous environment.
- Why this job: Make a real impact in AI while working with experienced leaders from Big Tech.
- Qualifications: Strong Python skills and experience with scalable APIs and AI features required.
- Other info: This is a unique opportunity to shape the future of AI technology.
The predicted salary is between 43200 - 64800 ÂŁ per year.
This range is provided by Signify Technology. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from Signify Technology
This is a career-defining opportunity for Senior/Principal level coders, but we do need real depth in AI and LLMs.
This is complex backend engineering at scale, powering cutting-edge AI Agents for one of the most ambitious platforms in Europe.
Location: Remote within EU timezones
Why Join
• Build the core architecture powering intelligent AI Agents that take real action – not just generate responses
• Work at the intersection of applied ML, and real-time infrastructure; your work will have visible, measurable impact
• Own complex, distributed backend systems end-to-end – from design through deployment
• Join a founding-level team backed by serious Series A funding from top-tier investors
• Move fast with zero red tape – you’ll ship quickly and influence technical direction from day one
• Work with experienced leaders from Big Tech and high-growth startups (multiple exits, IPOs)
• Engineering-first culture that values clean systems, smart decisions, and real autonomy
• Opportunity to shape the product, team, and roadmap in a huge, fast-moving market
What You’ll Bring
• Sold backend coding experience – confident building scalable APIs, distributed services, and secure systems
• Python is your primary language and you\’re great with it in production
• You’ve shipped AI-powered features, ideally with LangChain, LlamaIndex, or similar
• AWS-native mindset with solid infrastructure and DevOps fundamentals (Docker/K8s/CI/CD etc.)
• You thrive in early-stage teams where every line you ship matters
We’re building something ambitious – if you\’re excited by agentic systems, real autonomy, and solving big real-world problems, this one’s worth your time.
Please DM to chat through.
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Information Technology
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Industries
Software Development and Technology, Information and Media
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Python Developer - AI employer: Signify Technology
Contact Detail:
Signify Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Developer - AI
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and LLMs. Being well-versed in these areas will not only boost your confidence during discussions but also demonstrate your genuine interest in the role.
✨Tip Number 2
Engage with the Python developer community, especially those focused on AI. Participating in forums or attending meetups can help you network and gain insights that could be beneficial during your application process.
✨Tip Number 3
Showcase your experience with scalable APIs and distributed systems through personal projects or contributions to open-source. This practical experience can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your previous work with AWS and DevOps tools like Docker and Kubernetes. Having concrete examples ready will illustrate your hands-on experience and readiness for the challenges of this role.
We think you need these skills to ace Python Developer - AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your backend coding experience, particularly with Python and any AI-powered features you've shipped. Use specific examples that demonstrate your skills in building scalable APIs and distributed services.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your experience with AI and LLMs, and how you can contribute to building intelligent AI Agents. Be sure to convey your excitement about working in an early-stage team.
Showcase Relevant Projects: If you have worked on projects involving LangChain, LlamaIndex, or similar technologies, be sure to include these in your application. Describe your role in these projects and the impact they had, especially in terms of real-time infrastructure.
Highlight Soft Skills: While technical skills are crucial, don't forget to mention your soft skills. Emphasise your ability to work autonomously, make smart decisions, and thrive in fast-paced environments. This aligns well with the company's engineering-first culture.
How to prepare for a job interview at Signify Technology
✨Showcase Your Python Expertise
Make sure to highlight your experience with Python, especially in production environments. Be prepared to discuss specific projects where you've built scalable APIs or distributed services using Python.
✨Demonstrate AI Knowledge
Since the role focuses on AI and LLMs, be ready to talk about any AI-powered features you've shipped. Familiarity with tools like LangChain or LlamaIndex will give you an edge, so mention any relevant experience.
✨Understand the Infrastructure
Brush up on your knowledge of AWS, Docker, Kubernetes, and CI/CD processes. The interviewers will likely ask about your experience with these technologies, so be prepared to explain how you've used them in past projects.
✨Emphasise Team Collaboration
This position values autonomy and teamwork, so share examples of how you've contributed to early-stage teams. Discuss how your contributions have made a measurable impact on projects and how you thrive in fast-paced environments.