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- Tasks: Join us to create innovative AI tools that simplify software development.
- Company: Be part of a dynamic Scale Up transforming how businesses build internal tools.
- Benefits: Enjoy a competitive salary, equity options, and hybrid work flexibility.
- Why this job: Work on cutting-edge technology in a collaborative environment that values creativity.
- Qualifications: Strong Python skills required; Docker and PostgreSQL experience essential.
- Other info: Experience with Rust, Go, or Scala is a bonus; knowledge of compilers is highly valued.
The predicted salary is between 48000 - 72000 £ per year.
Software Engineer – AI & LLM Product Innovation
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. They’re now expanding their core engineering team.
- Build robust, AI-first product features across backend and infrastructure
- Contribute to the internal tooling that powers software synthesis
- Strong experience in Python, along with Docker and PostgreSQL
- Experience with other languages to complement such as Rust, Go, Scala a plus
- Experience with compilers, code analysis, or DSLs is a major plus
Remote engineer employer: Inara
Contact Detail:
Inara Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI and software synthesis. Understanding how these technologies are evolving will not only help you in interviews but also show your genuine interest in the role.
✨Tip Number 2
Engage with the community around Python, Docker, and PostgreSQL. Join forums, attend meetups, or participate in online discussions to network with professionals in the field and gain insights that could be beneficial during your application process.
✨Tip Number 3
Showcase any personal projects or contributions to open-source that demonstrate your skills in AI and software development. This practical experience can set you apart from other candidates and provide concrete examples of your capabilities.
✨Tip Number 4
Prepare to discuss your experience with compilers, code analysis, or domain-specific languages (DSLs) if applicable. Highlighting this knowledge can significantly enhance your appeal for the position, as it aligns closely with the job requirements.
We think you need these skills to ace Remote engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Docker, and PostgreSQL. Include any relevant projects or roles that demonstrate your ability to build AI-first product features and internal tooling.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company's mission. Mention specific experiences that align with their focus on software synthesis and your familiarity with additional languages like Rust or Go.
Showcase Relevant Projects: If you have worked on projects involving compilers, code analysis, or domain-specific languages (DSLs), be sure to include these in your application. Provide links to your GitHub or portfolio to showcase your work.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Inara
✨Showcase Your Python Skills
Since strong experience in Python is a must for this role, be prepared to discuss your past projects and how you've used Python to solve complex problems. Bring examples of your code or projects that demonstrate your proficiency.
✨Familiarise Yourself with AI and LLM Concepts
As the company focuses on AI-first product features, brush up on your knowledge of AI and large language models. Be ready to discuss how these technologies can be applied in software development and internal tooling.
✨Understand Docker and PostgreSQL
Make sure you can talk about your experience with Docker and PostgreSQL confidently. Prepare to explain how you've used these tools in previous roles, including any challenges you faced and how you overcame them.
✨Prepare for Technical Questions
Expect technical questions related to compilers, code analysis, or domain-specific languages (DSLs). Review relevant concepts and be ready to solve problems on the spot, as this will demonstrate your analytical skills and technical expertise.
