At a Glance
- Tasks: Blend hands-on software building with direct customer engagement and AI agent configuration.
- Company: Dynamic HR tech company focused on innovative AI solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Fast-paced environment with excellent career advancement potential.
- Why this job: Make a real impact by working at the intersection of AI and customer operations.
- Qualifications: Experience in TypeScript, API connections, and strong problem-solving skills.
The predicted salary is between 80100 - 97900 £ per year.
This role blends hands-on software building with direct customer work. A strong candidate writes production TypeScript, connects APIs, and turns vague business processes into deployed agents that keep running. Comfort moving between several customers, debugging in production, and explaining trade-offs to both engineers and operations teams matters more than deep specialisation.
How it fits the AI era: The work sits at the point where AI agents meet real customer operations, so much of the job is configuring, evaluating and monitoring agents rather than writing every step by hand. Judgement stays human: scoping what is possible, committing to timelines, and tracing a failure to its root cause. The role rewards people who treat model behaviour as something to test and watch, not trust blindly.
How it builds AI experience: Building here means hands-on work with prompting, tool calling, retrieval and evaluations inside an HR data platform, plus agent orchestration and workflow automation. That gives practical grounding in making AI reliable against structured workforce data across onboarding, requests and reporting. Someone preparing for this could build small agent workflows over connected systems and practise writing evals and monitoring for them.
Worth showing:
- TypeScript production code
- LLM prompting and tool calling
- Customer facing technical calls
- Evals and production monitoring
A modular HR system of record for growing companies, with an add-on AI agent layer aimed at automating onboarding, requests and reporting.
Forward Deployed Engineer, Athena in London employer: present of AI
H Company is an exceptional employer for Product Designers, offering a dynamic work environment in London where innovation meets collaboration. With a strong focus on employee growth, the company encourages continuous learning and experimentation, particularly in the evolving field of AI design. The inclusive culture fosters open communication with users and cross-functional teams, ensuring that every designer's voice is heard and valued, making it a truly rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineer, Athena in London
✨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 present of AI 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 present of AI.
✨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 present of AI.
✨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 present of AI 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 Forward Deployed Engineer, Athena in London
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 present of AI.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at present of AI 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 present of AI
✨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 present of AI 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.
