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Tenarai Europe

FORWARD DEPLOYED ENGINEER — CLIENT SOLUTIONS & INTEGRATION

United Kingdom
Posted about 19 hours ago
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Project Info

We are seeking a production-focused Forward Deployed Engineer — Client Solutions & Integration. This role is entirely built around the modern paradigm of AI-assisted engineering combined with senior-level technical leadership. You will not be writing every line of integration code manually; instead, you will utilize specialized AI "Skill Agents" (autonomous coding assistants and workflow generators) to rapidly build, test, and deploy API connections and AI-intensive applications.

Working alongside an AI Solutions Architect, you will act as the technical anchor for high-impact efficiency builds across a diverse portfolio of companies in hyper-compressed 4–6 week cycles. Beyond orchestrating AI agents, you will be directly engaging with clients—translating their business problems into technical architecture and guiding them through the deployment process.

Responsibilities

  • Client Discovery & Consulting: Lead technical discussions with external clients and stakeholders. Translate broad business ambitions and operational bottlenecks into precise, actionable technical requirements and AI architectures.
  • Agent-Assisted Integration Building: Command and collaborate with AI Skill Agents to rapidly generate robust API integrations, webhooks, and logic workflows optimized for AI-driven systems.
  • Technical Leadership & Code Review: Act as the technical lead and editor for AI-generated code. Ensure all outputs meet enterprise security, error-handling, and performance standards before they hit production.
  • System Connectivity & Architecture: Navigate complex SaaS ecosystems and custom backends (REST/GraphQL), using AI assistants to quickly parse API documentation and auto-generate the necessary connective middleware.
  • Secure Deployment & Ownership: Take end-to-end ownership of securely deploying lightweight, AI-generated applications into production, utilizing CI/CD and modern DevOps best practices to prevent silent failures.

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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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

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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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Job Requirements

  • Senior/Team Lead Background: Proven prior experience working at a Senior Developer or Technical Team Lead level. You have a deep understanding of software architecture, technical debt, and what "production-ready" truly means.
  • Client-Facing Communication: Exceptional ability to lead technical conversations with non-technical clients. You can manage stakeholder expectations, present complex solutions simply, and push back constructively when needed.
  • AI-First Engineering Mindset: Proven experience deeply integrating AI into your daily development workflow. You treat AI Skill Agents (like Cursor, GitHub Copilot, Devin, or custom LLM scripts) as your junior developers.
  • Integration & App Expertise: Strong foundational knowledge of backend orchestration (Python, Node.js) and API development, enabling you to effectively debug, refactor, and guide the AI's output.
  • AI Fluency & Prompting: Advanced ability to write precise, context-rich prompts that force AI models to generate reliable code. Direct experience building with LLM APIs (Anthropic/Claude preferred) and agentic workflows.
  • Production Discipline: A "zero-downtime" mindset. You understand that AI-generated code can be brittle, and you know how to implement robust logging, secrets management, and containerization (Docker, Serverless) to safeguard it.
  • US Time Zone Alignment: Ability to work core business hours in the US Eastern Time Zone (New York) to ensure seamless real-time collaboration with US-based clients and the internal team.
  • Open to travel ~ 70%

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Benefits

  • 28 working days of holiday (includes bank holidays)
  • Healthcare policy that includes family (spouse, kids), fully paid by the company
  • Discounted gym membership via Vitality
  • Subscriptions via Pluxee to help with the cost of living
  • Private pension scheme
  • Salary exchange scheme to support the private pension scheme
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Skills

AI-Assisted Engineering
API Integration
Technical Leadership
Client Consulting
Python
Node.js
Prompt Engineering
LLM APIs
CI/CD
DevOps
Docker
Serverless
REST
GraphQL
Software Architecture
Stakeholder Management

Location

United Kingdom

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