At a Glance
- Tasks: Develop and enhance AI solutions using cutting-edge technologies for diverse industries.
- Company: Whitespace, a leader in creating smarter AI solutions for enterprises.
- Benefits: Flexible working, 4-day weeks during holidays, early finishes, and share options.
- Other info: Dynamic environment with a focus on continuous learning and career growth.
- Why this job: Join a creative team and make a real impact with AI technology.
- Qualifications: 3+ years in software engineering with experience in LLM applications and client engagement.
The predicted salary is between 72000 - 88000 £ per year.
- Whitespace Belfast, Northern Ireland, United Kingdom
- AI Solutions Engineer (Senior)
- Whitespace Belfast, Northern Ireland, United Kingdom
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Reporting to
- Head of Solutions Engineering
- About Whitespace
Whitespace leads in creating smarter, safer AI solutions for enterprises. As AI presents transformative opportunities, many companies struggle to harness its full potential.
Whitespace bridges this gap with Collective - The AI Operating System for high-assurance environments.
Built for scale, trust and action - even in the most secure, complex or disconnected settings.
We're not just building AI systems. We're laying the foundation for a future where humans and machines work together like never before.
Role Summary
The successful AI Solutions Engineer will exploit, extend and enhance our AI Operating System, which leverages LLMs to solve industry-specific challenges across regulated industries, including defence, legal, finance and others.
This is a hands‑on role focused on rapidly prototyping and deploying AI‑powered solutions.
Working directly with clients, you will translate their needs into scalable, production‑ready AI applications using the latest frameworks and technologies.
Responsibilities
- Technical Development
- Develop platform functionality using Python, building APIs and integrations to extend capabilities for diverse client needs.
- Design and implement LLM‑powered applications and workflows using open source models such as Llama, Qwen and Gemma, as well as those online models from Open AI, Gemini, etc.
- Build AI agents with tool/function calling, prompt engineering and appropriate guardrails using frameworks such as Open AI Agent SDK, Lang Graph or Llama Index.
- Implement testing and evaluation frameworks for LLM applications, covering prompt testing, output quality metrics and agent behaviour validation.
- Apply relevant AI technologies as needed, including retrieval systems (RAG, Graph RAG), knowledge graphs, vector databases or data pipelines.
- Solution Design and Implementation
- Design and deliver scalable, efficient solutions tailored to client‑specific requirements whilst balancing innovation with practical constraints around compliance, performance, cost and security.
- Participate in technical discussions, diagnose complex challenges and collaborate effectively within the engineering team.
- Client Engagement and Collaboration
- Work directly with clients to gather requirements and translate them into actionable AI‑powered solutions, moving rapidly from concept to working prototype.
- Communicate complex technical concepts effectively to technical and non‑technical stakeholders, including system capabilities and limitations.
- Collaborate with team members and contribute to technical knowledge sharing within the team.
- Role Requirements
- Work Experience
- At least three years as a software engineer on commercial platforms, with demonstrable experience building LLM‑powered applications.
- Proven experience with API‑level LLM usage, including prompt engineering and tool/function calling.
- Experience with agent frameworks (Open AI Agent SDK, Lang Graph, Llama Index Agents or similar).
- Experience developing APIs using Fast API or similar frameworks and integrating with third‑party platforms.
- Direct client‑facing experience gathering requirements and delivering technical implementations.
- Experience within agile development workflows and engineering teams.
Skills & Abilities
- Strong Python (or similar) programming skills with a focus on scalable and secure solutions.
- Excellent communication abilities, translating complex technical concepts for diverse audiences.
- Strong analytical and problem‑solving approach, identifying scalable and reusable solutions.
- Ability to align solutions with business goals and industry‑specific constraints.
- Self‑sufficient contributor capable of working independently and seeking support when needed.
- Collaborative team player who works effectively with colleagues across the organisation.
- Nice to Have
- Open source LLMs (Llama, Qwen, Gemma, GPT OSS) and local deployment strategies.
- Frameworks and protocols such as Model Context Protocol (MCP) or Agent‑to‑Agent (A2A).
- LLM evaluation tooling (Open AI Evals, Lang Smith, custom evaluation harnesses).
- Advanced agent patterns: multi‑agent systems, supervision, delegation strategies.
- RAG, Graph RAG and knowledge graph design and implementation.
- Vector databases and similarity search systems.
- Graph databases (Arango DB, Neo4j, Neptune) and property graph modelling.
- Data engineering: ETL pipelines, document processing, schema design for AI applications.
- Cloud platforms (GCP preferred, AWS/Azure also relevant) and containerisation (Docker).
- Observability and monitoring for LLM applications (tracing, metrics, cost tracking).
- Secure coding practices for regulated industries and sensitive data handling.
- Frontend experience (React/Next. js) for rapid prototyping of client demos.
What we offer
Work on impactful, cutting‑edge products powered by artificial intelligence and machine learning.
Be part of an agile, close‑knit team that values creativity, quality, and continuous learning.
- A flexible working environment, with typically 2 days of hybrid working in our Belfast office, and one of the best work‑life balances you’ll find:
- A (Mon to Thurs) 4‑day week during the holidays - July, August and December
- The last Friday of every month off
- Early finish every working Friday at 3pm
- 25 days of annual leave, plus all NI bank holidays
EMI Share options in a rapidly growing scale‑up.
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AI Solutions Engineer (Senior) in Belfast employer: Whitespace
Whitespace is an exceptional employer that fosters a collaborative and innovative work culture, perfect for aspiring engineers eager to develop their skills in AI-powered technology. Located in Belfast, the company offers a unique hybrid working model, a supportive team environment, and generous benefits including a 4-day work week during summer months, early finishes on Fridays, and EMI share options, making it an ideal place for meaningful career growth.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solutions Engineer (Senior) in Belfast
✨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 Whitespace 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 Whitespace.
✨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 Whitespace.
✨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 Whitespace 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 Solutions Engineer (Senior) in Belfast
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 Whitespace.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Whitespace 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 Whitespace
✨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 Whitespace 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.
