At a Glance
- Tasks: Join our team to develop AI solutions that make a real-world impact.
- Company: Innovative tech company focused on beneficial deployments and social impact.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Embrace a dynamic culture where your ideas can drive change.
- Why this job: Be part of a mission-driven team shaping the future of AI for good.
- Qualifications: 4+ years in software engineering with experience in AI applications.
Role Overview
We’re looking for an Applied AI Engineer to join our Beneficial Deployments team. You’ll use your deep technical expertise to help partners accelerate their impact through advising on evals, hill‑climbing on harnesses, prototyping new agents, etc. You will also work on building ecosystem‑level tooling and infrastructure to scale impact beyond individual partnerships.
Responsibilities
- Serve as a deep technical partner to mission‑driven organizations through advising on evals, agent architectures, context engineering, cost optimization, and more.
- Provide hands‑on support to partner engineering teams through pair programming, prototyping, and code contributions that accelerate their development.
- Develop public goods infrastructure that benefits entire ecosystems through benchmarks, MCP’s, and Agent Skills.
- Identify challenges unique to social impact partners, and contribute findings and improvements back to product, engineering, and research.
- Create technical presentations, demos, and scalable technical content (documentation, tutorials, sample code) to accelerate partner adoption and self‑service.
- Help shape team processes and culture as we scale from 1 to N.
- Travel occasionally to customer sites for workshops, technical deep dives, and relationship building.
Qualifications
- 4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder.
- Production experience building LLM‑powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale.
- Builder credibility that earns trust with technical founders and engineering teams—you’ve shipped products and can speak from experience.
- Experience working in ed‑tech, healthcare, scientific research, nonprofit, or other mission‑driven organizations, understanding their unique challenges and constraints.
- A love of teaching, mentoring, and helping others succeed.
- A scrappy mentality – comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission.
Compensation
Annual Salary: £240,000 — £255,000 GBP
Location & Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience.
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience.
Minimum years of experience: Varies by internal job level requirements for the position.
Location‑based hybrid policy: Staff are expected to be in one of our offices at least 25% of the time; some roles may require more on‑site presence.
Visa sponsorship: We do sponsor visas. If we make you an offer, we will make every reasonable effort to obtain a visa.
Commitment to Inclusion
We encourage you to apply even if you do not believe you meet every single qualification. People from underrepresented groups often experience imposter syndrome; we urge you not to exclude yourself prematurely and to submit an application if you’re interested in this work.
Applied AI Engineer, Beneficial Deployments employer: Doist
Brink's is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to drive global commercial strategies in the ATM lifecycle solutions sector. With a strong focus on professional development and growth opportunities, employees are encouraged to expand their skills while contributing to sustainable growth and operational excellence. Located in a dynamic environment, Brink's offers unique advantages such as a diverse team and the chance to build long-term partnerships with global customers, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer, Beneficial Deployments
✨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 Doist 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 Doist.
✨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 Doist.
✨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 Doist 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 Applied AI Engineer, Beneficial Deployments
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 Doist.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Doist 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 Doist
✨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 Doist 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.
