MetAntz
Full Stack Engineer

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Software Engineer, Full Stack – UK
Location: UK Remote
Experience: 5+ years
Employment Type: Full-time
Metantz is a recruitment company specialising in connecting exceptional talent with high-growth technology companies. We work with innovative businesses across emerging technology domains, including AI, software and enterprise technology.
We are currently hiring on behalf of a fast-growing Agentic AI company building AI-powered digital employees for enterprise organisations.
About the Client
Our client is building an enterprise-grade Agentic AI platform that enables organisations to automate complex workflows and repetitive tasks across functions. The platform works across enterprise applications and business processes, with AI agents handling real-world tasks at scale. The company is backed by leading global investors and is building production-grade AI systems for large enterprises worldwide.
The Role
We are looking for a Full Stack Software Engineer to build and deploy production-grade AI agents. This is a hands-on engineering role with exposure to the full product lifecycle, from understanding customer problems and designing solutions to building, evaluating, launching and improving AI-powered systems in production.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
You will work closely with customers, product teams and other engineers while contributing to the core platform.
What You'll Do
- Design and ship production-grade AI agents and workflows
- Build scalable backend and full-stack systems using Python and Go
- Own features through discovery, development, evaluation, deployment and ongoing improvement
- Work directly with enterprise customers to understand their processes and technical requirements
- Integrate AI agents with enterprise systems and applications
- Design schemas, workflows and evaluation frameworks
- Identify recurring customer needs and help turn them into reusable platform capabilities
- Collaborate closely with product and engineering teams in a fast-moving environment
What You'll Bring
- 5+ years of experience building and scaling production software
- Strong backend engineering fundamentals, including algorithms and data modelling
- Strong experience with Python, with exposure to Go highly desirable
- Experience building end-to-end production systems
- Strong problem-solving skills and the ability to work with ambiguous requirements
- A hands-on, ownership-driven approach to engineering
- Comfort working directly with customers and technical stakeholders
- Strong written and verbal communication skills


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Nice to Have
- Experience building or deploying LLM/GenAI systems in production
- Knowledge of AI agents, RAG, MCP or prompt engineering
- Experience integrating enterprise applications such as HRIS, ITSM or ERP platforms
- Experience with authentication and enterprise integrations
- Experience working with distributed teams or multi-tenant SaaS products
- Startup, founder or founding-engineer experience
Why This Opportunity?
You’ll be working at the intersection of software engineering and Agentic AI, building systems that are used to automate real enterprise processes rather than working solely on experimental AI projects.
If you enjoy solving complex problems, working close to customers and taking ownership from idea to production, this could be a strong opportunity to explore.
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