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- Tasks: Build AI-driven product features and collaborate on innovative software solutions.
- Company: Join a fast-growing Scale Up revolutionising internal tool development with cutting-edge technology.
- Benefits: Enjoy a competitive salary, equity options, and hybrid work flexibility.
- Why this job: Be part of a transformative team shaping the future of software development with real impact.
- Qualifications: Strong Python skills required; experience with Docker, PostgreSQL, and LLM tools is a plus.
- Other info: Join at a pivotal moment to influence product direction and architecture.
The predicted salary is between 43200 - 72000 £ per year.
Permanent | London (Hybrid – 1 day per week) Competitive salary + equity
Are you excited by the idea of building tools that write software? We’re working with a "Scale Up" that’s reinventing how businesses build internal tools — turning complex software development into something anyone can describe in plain language. Using a blend of LLMs, code generation, agentic systems, and compiler logic, they’re creating a platform that translates user needs into functional applications in minutes — not months. After a phenomenal start, the company is exceeding revenue growth projections and is expanding rapidly with support from top-tier VCs. They’re now expanding their core engineering team.
What You’ll Be Doing:
- Build robust, AI-first product features across backend and infrastructure
- Contribute to the internal tooling that powers software synthesis
- Experiment with prompting, evaluation frameworks, orchestration flows, and RAG systems
- Collaborate on the design of reusable application architectures and internal DSLs
- Take part in designing agents that plan, test, and verify code automatically
Ideal Skillset:
- Strong experience in Python, along with Docker and PostgreSQL
- Experience with other languages to complement such as Rust, Go, Scala a plus
- Familiarity with LLM toolchains and libraries (e.g. Langchain, OpenAI APIs)
- Previous work with Kubernetes, CI/CD, observability stacks, or workflow orchestrators (Argo/Temporal)
- Experience with compilers, code analysis, or DSLs is a major plus
- A strong experimental mindset — you like solving hard problems and iterating fast
Why Join?
- Real ownership over product direction and architecture
- Join at a pivotal moment — early enough to shape things, late enough that it's working
Artificial Intelligence Engineer employer: Inara
Contact Detail:
Inara Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI and LLMs. Follow industry leaders on social media, read relevant blogs, and participate in online forums to stay updated. This knowledge will not only help you during interviews but also show your genuine interest in the field.
✨Tip Number 2
Engage in projects that showcase your skills in Python, Docker, and PostgreSQL. Contributing to open-source projects or building your own applications can provide practical experience and demonstrate your capabilities to potential employers.
✨Tip Number 3
Network with professionals in the AI and software engineering community. Attend meetups, webinars, or conferences where you can connect with others in the field. Building relationships can lead to referrals and insider information about job openings.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and system design problems related to AI and software development. Use platforms like LeetCode or HackerRank to sharpen your skills and get comfortable with the types of questions you might face.
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Docker, and PostgreSQL prominently. Include any relevant projects or roles that demonstrate your skills in AI and software development.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for building AI-first product features. Mention specific experiences that relate to the job description, such as working with LLMs or contributing to internal tooling.
Showcase Relevant Projects: If you have worked on projects involving code generation, orchestration flows, or compilers, be sure to include these in your application. Provide links to your GitHub or portfolio to showcase your work.
Highlight Your Problem-Solving Skills: Emphasise your experimental mindset and ability to solve complex problems. Use examples from your past experiences where you iterated quickly and effectively to overcome challenges.
How to prepare for a job interview at Inara
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, Docker, and PostgreSQL in detail. Highlight any projects where you've used these technologies, especially in relation to AI or LLMs, as this will demonstrate your fit for the role.
✨Demonstrate Your Problem-Solving Mindset
Since the company values an experimental mindset, come ready to share examples of challenging problems you've solved in the past. Discuss your approach to iterating on solutions and how you adapt to new information or feedback.
✨Familiarise Yourself with Their Technology Stack
Research the specific tools and libraries mentioned in the job description, such as Langchain and OpenAI APIs. Being able to discuss these technologies and how you've used similar ones will show your genuine interest and preparedness.
✨Prepare Questions About Product Direction
Since the role offers real ownership over product direction, think of insightful questions to ask about their current projects and future plans. This shows that you're not only interested in the position but also in contributing to the company's growth.
