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Jobgether

AI Product Engineer

United Kingdom
Posted about 18 hours ago
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AI Product Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Product Engineer based in the United Kingdom.

This role offers the opportunity to build next-generation AI-powered software solutions that transform how businesses interact with their operational systems.

You will work at the intersection of product development, engineering, and artificial intelligence to create autonomous agent-driven experiences.

The position involves designing and building production-grade AI systems that connect business tools, automate workflows, and simplify complex processes.

Working closely with technical and product leadership, you will have ownership over architecture decisions, product direction, and execution.

This is a high-impact opportunity for an engineer who enjoys solving ambiguous problems, experimenting with emerging AI technologies, and shipping innovative products.

You will contribute to shaping an AI-native platform while working in a remote, collaborative, and fast-moving environment.

Accountabilities

The AI Product Engineer will take ownership of building and scaling an agentic product from the ground up, combining strong engineering skills with product thinking. This role requires the ability to design complex AI systems, make strategic technical decisions, and deliver reliable solutions that create meaningful business value.

  • Architect and build a production-ready multi-agent system capable of securely interacting with business tools such as ERP platforms, CRMs, spreadsheets, calendars, email systems, analytics tools, and compliance solutions.
  • Develop and maintain Model Context Protocol (MCP) integrations that connect AI agents with real-world business systems.
  • Own end-to-end production system requirements, including reliability, observability, permissions, security, and safe workflow execution.
  • Build AI-powered product experiences using technologies such as LangGraph, Next.js, React, Prisma, and Claude Code.
  • Act as both an engineer and product owner by defining product scope, prioritizing features, evaluating trade-offs, and driving execution with minimal oversight.
  • Design solutions with a strong user-focused mindset, ensuring technical decisions translate into intuitive and valuable customer experiences.
  • Identify technical risks, product challenges, and opportunities early while proposing structured solutions.
  • Stay current with advancements in AI ecosystems, agent frameworks, orchestration approaches, and emerging standards.
  • Experiment with new AI development tools and approaches to continuously improve product capabilities and engineering workflows.
  • Collaborate closely with engineering, product, and design teams to align AI initiatives with broader business objectives.

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.

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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.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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.

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It 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.

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Strong

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.

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Strong

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.

Requirements

The ideal candidate is an experienced full-stack engineer with a strong understanding of AI systems, product development, and scalable software architecture. This role requires someone who can operate independently, navigate ambiguity, and combine technical excellence with a strong ownership mindset.

  • 5+ years of full-stack development experience, ideally building B2B SaaS applications.
  • Proven hands-on experience building and deploying multi-agent AI systems in production environments.
  • Experience creating and maintaining Model Context Protocol (MCP) integrations used in real-world applications.
  • Strong understanding of production engineering principles, including reliability, observability, permissions, security, and workflow execution.
  • Ability to operate across both engineering and product responsibilities, including defining requirements, making decisions, and managing priorities.
  • Strong proficiency with modern technologies such as React, TypeScript, Node.js, PostgreSQL, GraphQL, and LangGraph.
  • Ability to quickly learn and apply new frameworks, tools, and emerging AI technologies.
  • Experience working in early-stage startup environments with small engineering teams and high levels of ownership.
  • Strong problem-solving skills and ability to work effectively in ambiguous, fast-changing environments.
  • Low-ego, collaborative mindset focused on delivering impactful products rather than internal processes.
  • Clear and proactive communication skills, with the ability to raise concerns and suggest solutions independently.

Preferred Qualifications

  • Experience building products in supply chain, ERP, CRM, B2B marketplaces, accounting software, or operational technology environments.
  • Experience with UX design and user-centered product development.
  • Familiarity with advanced agentic systems, multi-agent orchestration, evaluation frameworks, or agent-to-agent protocols.
  • Experience using Claude Code or similar AI development tools.
  • Previous experience in the cannabis technology industry is a plus.

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Benefits

  • Fully remote work environment with flexibility to work from anywhere.
  • Opportunity to build innovative AI products from the ground up with significant ownership and impact.
  • Direct collaboration with technical leadership and involvement in strategic product decisions.
  • Chance to work on cutting-edge AI technologies and emerging agent-based systems.
  • High level of autonomy with the ability to influence architecture, product direction, and execution.
  • Work within a global, collaborative, and mission-driven team.
  • Opportunity to contribute to the future of AI-native business software.
  • Inclusive workplace culture focused on respect, trust, and diverse perspectives.
  • Stable and growth-oriented environment with investment in new product development.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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Skills

Full-stack Development
Multi-agent AI Systems
Model Context Protocol (MCP)
LangGraph
Next.js
React
TypeScript
Node.js
PostgreSQL
GraphQL
Prisma
B2B SaaS Architecture
Product Ownership
System Observability
AI Orchestration
API Integration

Location

United Kingdom

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