At a Glance
- Tasks: Build innovative software and AI-powered workflows while collaborating with cutting-edge technologies.
- Company: Fast-growing AI startup focused on transforming brand visibility in AI search engines.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Ideal for engineers with 1-2 years experience eager to explore AI-assisted development.
- Why this job: Join a team shaping the future of AI and make a real impact on software development.
- Qualifications: Strong software engineering skills, experience with Python, and a passion for AI technologies.
The Company
We are working with a fast-growing AI startup building a platform that helps brands understand how they are represented, recommended and discovered across AI-powered search and answer engines. As consumers increasingly use tools such as ChatGPT, Claude, Perplexity and other AI assistants to research products, compare companies and make buying decisions, brands need a new way to understand their visibility within those systems. The platform analyses how different models respond to thousands of commercially relevant questions, identifies the brands, competitors, sources and narratives that influence those answers, and turns this into actionable commercial insight.
The Role
They are looking for an AI-Native Software Engineer - first and foremost a strong software engineer, but one who understands how AI is changing both the products we build and the way we build them. This isn’t an ML research role. You’ll be building production software, APIs, data pipelines and AI-powered workflows, while working deeply with LLMs, agents and modern AI-assisted development. You’ll be expected to think like a software engineer first: good architecture, clean abstractions, maintainable code, testing, observability and sensible trade-offs. At the same time, you’ll work directly with modern AI systems, including multi-agent workflows, LLM APIs, tool calling, MCP and evaluation infrastructure.
What We’re Looking For
- Strong professional software engineering experience
- Python and backend application development
- APIs, distributed systems and asynchronous architectures
- Production cloud environments, ideally AWS
- Docker, CI/CD and infrastructure as code
- LLM APIs and production AI applications
- Agentic or multi-agent systems
- Tool calling and MCP
- LangGraph, Strands or similar frameworks
- LLM evaluation, tracing and observability
- Structured outputs and prompt engineering
- AI security and guardrails
Just as importantly, you should already be an enthusiastic user of AI-assisted development tools. You might use Claude Code, Cursor, Codex or similar tools to explore codebases, implement features, generate tests, debug issues and accelerate repetitive engineering work - while retaining the judgement to review, challenge and improve what those systems produce.
Why Join?
You’ll work on real production systems with real users, combining strong software engineering with some of the most interesting emerging patterns in agentic AI. You’ll have meaningful influence over architecture, development practices and how the team adopts AI-native engineering as the company scales. The role would suit an engineer with 1-2 years experience who loves building software, is deeply curious about AI, and believes the best engineers of the next few years will be those who learn how to work exceptionally well alongside it. This opportunity unfortunately cannot provide sponsorship.
AI-Native Software Engineer employer: Hyre AI Limited
Hyre AI Limited is an exceptional employer located in Warrington, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from comprehensive growth opportunities, including hands-on experience with cutting-edge technologies in AI and cloud infrastructure. The company prioritises a supportive environment where technical leadership is encouraged, making it an ideal place for those seeking meaningful and rewarding careers in the rapidly evolving field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land AI-Native Software Engineer
✨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 Hyre AI Limited 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 Hyre AI Limited.
✨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 Hyre AI Limited.
✨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 Hyre AI Limited 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 AI-Native Software Engineer
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 Hyre AI Limited.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Hyre AI Limited 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 Hyre AI Limited
✨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 Hyre AI Limited 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.
