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Forward Deployed Engineer | AI Agents / LLM / MCP | Must have startup exp
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Forward Deployed Engineer | AI Agents / LLM / MCP | Must have startup exp
Forward Deployed Engineer | AI Agents / LLM / MCP
Salary: €120,000 - €205,000 + competitive equity Contract: Full-time, Permanent Working Model: Remote (UK/EU-based) with frequent forward deployment to customer sites across Europe, fully expensed
🚨 Non-Negotiables – Apply Only If You Meet All the Following 🚨
Core Experience:
- 5+ years as a Forward Deployed Engineer, Applied AI Engineer, Technical Consultant, or similar hands-on delivery role
- Focus on AI-first startups or project-based consulting firms
- Experience deploying agentic/AI systems into production in customer environments, with hands-on work on MCPs and APIs
- Ownership of the full delivery lifecycle: scoping, build, and go-live
- Startup or high-growth startup consultants (early-stage!—excludes Big 4 purchases)
Hard Skills:
- Strong expertise with LLMs, agent frameworks, prompt engineering, and evaluation
- Competence in writing integration glue code (Python, JavaScript, SQL, APIs)
Role Overview
Joining an investor-backed, AI-native automation company shaping the next wave of enterprise-prod AI: agency inside real business workflows, not demos, not pilots—live 0-to-1 battle-tested integrations for paying customers.
Reasons to use Rodeo
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.
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.
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’ll thrive as a real-world deployment specialist, embedding entirely with clients starting from contract kickoff to post-go-live expansion.
What You'll Deliver
🤖 Automation Engineering
- Design, build, and ship AI agents tailored to customer systems (ERPs, S/4HANA, Serverless email, SharePoint tools, spreadsheets)
- Debug and iterate live agents in production, documenting lessons and optimising business outcomes
🚀 Delivery Ownership
- Analyze and redesign flawed workflows before automation—map requirements to agent workflows, exception handling, fallbacks, and decision paths
- Manage the customer relationship end-to-end from scope refinements through to upsell opportunities
🤝 Collaboration
- Feed real-world insights back into product and engineering—contribute reusable code patterns, diplomacies, and runbooks for future deployments
Get help with your application
Your very own career expert that helps elevate your application to the next level.
👥 Reverse Engineering of Verticals
- Deep background in retail/e-commerce or supply-chain workflow puzzles
- Sharp customer conversations—translate to measurable outcomes using data/commercial logic
- Track record for upselling product via live delivery engagements
Bonus Experience
✔️ Prior RAG/Retrieval experience ✔️ Multi enterprise-vertical automation delivery ✔️ Proven ROI boxes at scale beyond single customers
Not an Ideal Fit If You
❌ Focused strictly on Big Tech enterprise sales disablements or non-product, hands-off advice ❌ Pre-sales / demo specialists or advisory project than contributor ❌ A recent graduate without direct deployment experience ❌ Ex-founder who “just closed the $XYZ round” and never installed/FDE’d/debugged in a live customer
Who Should Apply? If you’re an engineer-builder who revels in flexibility, rapid iteration and hard problem solving— 準备的 握手。
Send your CV, LinkedIn and a paragraph on how you’ve solved an agentic/niche automation integrations.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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