At a Glance
- Tasks: Design and build cutting-edge AI applications for major enterprises.
- Company: Fast-growing AI consultancy with a focus on enterprise deployment.
- Benefits: Competitive salary, fully remote work, and opportunities for professional growth.
- Other info: Join a dynamic team at the forefront of AI innovation.
- Why this job: Tackle challenging AI problems and make a real impact in the industry.
- Qualifications: Experience in deploying production-grade AI systems and strong Python skills.
The predicted salary is between 90000 - 160000 £ per year.
We're partnering with a profitable, fast-growing AI consultancy helping some of Europe's largest enterprises move AI from experimentation into production. This business specialises in solving the difficult engineering challenges that emerge when AI becomes business-critical. Their work spans agentic systems, governance, observability, evaluation frameworks, security, monitoring and enterprise-scale deployment.
Founded by seriously impressive and well-networked leaders from top-tier consulting and transformation backgrounds, the business sits at the intersection of strategy, product and engineering, helping major financial services and insurance organisations deploy AI safely and effectively in complex real-world environments. As demand continues to accelerate, they are looking to hire Senior AI Software Engineers who understand what happens after the demo works.
The Opportunity
This role is ideal for engineers who have already built and deployed production-grade AI systems and want to work on some of the most technically challenging problems in enterprise AI. You'll be designing and building agentic systems, multi-agent architectures and AI-powered products used by large organisations, while helping establish the engineering standards required to operate these systems safely and reliably at scale.
What You'll Be Doing
- Designing and building production-grade AI applications powered by large language models
- Developing agentic systems, tool-calling frameworks and multi-agent workflows
- Building scalable backend services using modern Python and cloud-native technologies
- Designing evaluation frameworks and testing harnesses to measure AI quality and reliability
- Implementing observability, monitoring and tracing across AI systems
- Managing challenges such as hallucinations, prompt injection, latency and model drift
- Building secure, reliable deployment pipelines for enterprise environments
- Working directly with clients and stakeholders to deliver high-impact AI solutions
Experience Required:
- Production deployment of LLM-powered applications
- Multi-agent systems, orchestration frameworks and tool use
- Evaluation harnesses, benchmarking and AI quality measurement
- Langfuse, Braintrust or similar observability and evaluation platforms
- Prompt engineering, structured outputs and context management
- Python development and modern backend engineering practices
- Cloud infrastructure, containerisation and CI/CD
- Monitoring, debugging and operating AI systems in production environments
Why Join?
The AI industry is entering a new phase. The challenge is no longer whether AI models can generate impressive outputs; it's whether organisations can deploy them safely, reliably and at scale. This business is operating at the centre of that transition, helping major enterprises solve challenges around governance, security, evaluation, monitoring and agentic AI deployment.
For ambitious engineers, this is an opportunity to work on some of the most important problems in enterprise AI today, alongside a highly technical team, within a profitable organisation experiencing significant demand and growth.
Artificial Intelligence Engineer in Portsmouth employer: Omnis Partners
Agentic AI is an exceptional employer for Senior AI Software Engineers, offering a fully remote work environment that promotes flexibility and work-life balance. With a focus on tackling complex engineering challenges in enterprise AI, employees benefit from a culture of innovation and collaboration, alongside opportunities for professional growth within a rapidly expanding consultancy. Joining this team means contributing to meaningful projects that shape the future of AI deployment in major organisations, all while being supported by industry leaders with extensive experience.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer in Portsmouth
✨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 Omnis Partners 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 Omnis Partners.
✨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 Omnis Partners.
✨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 Omnis Partners 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 Artificial Intelligence Engineer in Portsmouth
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 Omnis Partners.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Omnis Partners 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 Omnis Partners
✨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 Omnis Partners 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.
