At a Glance
- Tasks: Design and deploy AI solutions that transform client workflows and processes.
- Company: Join a dynamic tech team focused on innovative AI projects.
- Benefits: Enjoy freedom, responsibility, and rapid personal growth in a collaborative environment.
- Other info: Work closely with founders and a supportive team on exciting challenges.
- Why this job: Make a real impact with cutting-edge technology while learning and growing every day.
- Qualifications: Curiosity, strong software skills, and a passion for technology are key.
The predicted salary is between 45000 - 55000 £ per year.
Design, build and deploy AI-powered solutions that redesign or automate how our clients work, from agentic workflows to entirely new applications.
The work spans software engineering, AI system design and technical implementation.
On implementation projects, you design, build and deploy AI-powered solutions that redesign or automate a client's processes.
You'll work on a range of systems, from agentic workflows and document intelligence to enterprise search and entirely new applications.
You'll work directly with clients to develop a deep understanding of their businesses, challenge existing workflows and help design solutions that fit their needs.
With projects spanning different industries and technologies, you'll constantly explore new ideas, learn new things and tackle challenging problems.
You will take ownership of technical implementations early on, from architecture decisions to production deployment.
You'll have considerable freedom in how you approach problems and will often need to figure things out independently, with the team there to support you when needed.
What we look for
You learn quickly.
You are curious about how things work, whether it's a new technology or a client's business.
You can teach yourself what you need to know, independently and at a fast pace.
This is one of the things we value most.
You think critically.
You gather information, challenge assumptions and make well-reasoned decisions, even when you don't have the full picture.
You take ownership.
You are comfortable making decisions, taking responsibility and seeing technical projects through from start to finish.
You can build.
You have a strong software engineering foundation and can independently build reliable, production-ready software.
Experience delivering full-stack projects end-to-end is a strong advantage.
You are passionate about technology.
You actively follow developments in AI and other emerging technologies, experiment with new tools and enjoy tackling unfamiliar technical challenges.
You are a team player.
You enjoy working with ambitious people, supporting each other and achieving things together. You contribute to a positive team environment and care about the people you work with.
You communicate well.
You explain your thinking clearly, work confidently with clients and enjoy collaborating with others.
Experience in AI or consulting is not required. Curiosity, technical ability and the willingness to learn matter most.
What you'll get
You will work directly with the founders and a dynamic team on ambitious projects for clients across different industries.
You'll have significant freedom and responsibility from early on, building solutions that fundamentally change how businesses operate.
You will be part of a young, ambitious team that genuinely enjoys working together and pushing each other to improve.
You'll constantly take on new challenges, learn from the people around you and grow quickly, both technically and personally.
Challenging projects, a steep learning curve and a great team to share it with, that's Arcas!
If that sounds like the kind of environment you'd enjoy, we'd love to hear from you.
#J-18808-Ljbffr
AI Engineer employer: Arcas Agentic
Arcas Agentic provides a collaborative work environment that emphasizes professional growth in the field of AI. Employees have the opportunity to engage with diverse industries and contribute to innovative projects, making a significant impact on client operations.
StudySmarter Expert Advice🤫
We think this is how you could land AI 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 Arcas Agentic 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 Arcas Agentic.
✨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 Arcas Agentic.
✨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 Arcas Agentic 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 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 Arcas Agentic.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Arcas Agentic 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 Arcas Agentic
✨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 Arcas Agentic 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.
