At a Glance
- Tasks: Prototype AI agents and workflows to solve real customer problems quickly.
- Company: Join Nexus Black, a forward-thinking tech company focused on innovation.
- Benefits: Enjoy flexible hybrid work, competitive salary, and a supportive community.
- Other info: Collaborative culture that values inclusivity and personal growth.
- Why this job: Make a tangible impact with cutting-edge AI technology in a dynamic environment.
- Qualifications: 4-8+ years in software/AI engineering with strong Python skills.
The predicted salary is between 70000 - 90000 £ per year.
We are seeking an AI Engineer with a builder’s mindset to bring cutting-edge AI agents and workflows into production for the company Nexus Black. You’ll turn ambiguous customer problems into working prototypes in days/weeks, iterate in the field, and scale the winners into reliable products. You will work across the stack—prompting, tools, retrieval, evaluation, guardrails, and backend services—collaborating closely with product, design, and data engineering. Expect high autonomy, direct exposure to customers, and a fast loop from idea demo production.
Key Responsibilities
- Rapidly prototype AI agents and guided workflows that solve concrete customer problems; ship thin slices, instrument, and iterate with real usage.
- Design and implement cloud‑native backend services that orchestrate prompts, tools, retrieval, and automations; own the path from POC to production.
- Build robust retrieval for LLMs (search/vector pipelines, context assembly, tool selection) in partnership with data engineering.
- Establish evaluation loops: offline/online tests, golden sets, regression checks, and human‑in‑the‑loop review to measurably improve quality and safety.
- Contribute to developer experience: reusable agents/tools, SDKs, templates, and internal documentation that speed up future builds.
- Collaborate with customers and internal stakeholders to frame problems, define success metrics, and translate insights into productizable solutions.
- Lead design discussions and code reviews; mentor teammates and raise the quality bar while keeping momentum high.
Qualifications
- 4–8+ years as a software/AI engineer, including shipping 0/1 products or features in startup‑like environments.
- Strong in Python (and comfortable with TypeScript); able to build production services and integrate with external systems/APIs.
- Proven experience taking LLM/agent systems to production (tool use, function calling, planning/exec, retrieval‑augmented generation).
- Hands‑on with evaluation (offline/online), prompt engineering, tracing, and observability for AI systems.
- Familiarity with vector databases/search, embeddings, and context/retrieval patterns; pragmatism about when/what to index.
- Solid backend fundamentals (services, queues, data models, CI/CD, cloud) and a bias to automate what you repeat.
- Excellent communication and product sense—able to turn fuzzy business problems into clear technical plans and measurable outcomes.
- Fast mover: comfort with ambiguity, crisp prioritization, and the judgment to ship small, safe increments quickly.
- Nice‑to‑have: open‑source contributions, hackathon wins, or a portfolio of shipped side projects; experience at both an early‑stage startup and a larger‑scale system.
Additional Information
We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.
AI Engineer - Nexus Black in London employer: United States Digital Space LLC
Nexus Black is an exceptional employer that champions innovation and collaboration, offering AI Engineers the chance to work on cutting-edge projects with high autonomy and direct customer engagement. Our flexible hybrid work culture supports diverse lifestyles while fostering a strong sense of community, ensuring that employees can thrive both personally and professionally. With ample opportunities for growth and mentorship, Nexus Black is dedicated to nurturing talent and driving meaningful impact in the AI space.
Contact Details:
United States Digital Space LLC Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - Nexus Black in London
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We think you need these skills to ace AI Engineer - Nexus Black 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 United States Digital Space LLC.
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How to prepare for a job interview at United States Digital Space LLC
✨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 United States Digital Space LLC 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.
