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For Companies At a Glance
- Tasks: Lead client engagements, manage projects, and shape AI solutions for financial and energy markets.
- Company: Gentek, an innovative AI company transforming regulatory reporting with cutting-edge technology.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Dynamic role with potential for rapid career advancement in a fast-paced environment.
- Why this job: Make a real impact in AI while collaborating with top organisations in finance and energy.
- Qualifications: Project management experience, fluent French, and understanding of modern AI frameworks.
The predicted salary is between 60000 - 80000 £ per year.
About Gentek
Gentek is an agentic AI company rebuilding the regulatory and operational reporting stack for global financial and energy markets. We replace the patchwork of manual checks, brittle scripts, and disparate frameworks that banks and energy firms rely on today with AI agents that reason about rules, reconcile data, and resolve exceptions end-to-end. We're trusted by leading organisations and we partner with infrastructure providers to bring agentic workflows to financial institutions and leading European energy brokers.
About the Role
As a Forward AI Engineer at Gentek, you own client engagements end-to-end. You run the calls, scope the work, write the plan, and drive a technical team to deliver it. You are the day-to-day face of Gentek to clients. You don't have to write the code yourself but you understand AI well enough to shape solutions, challenge estimates, and translate client requirements.
Core Responsibilities
- Project Management: discovery, requirements, project plan, milestones, risks, and stakeholder alignment. You set the cadence and you are accountable to the client.
- Client Engagement: Lead calls, workshops, and written communications in both languages. Turn ambiguous business needs into structured requirements and a deliverable plan.
- Solution Shaping: Work with engineers to scope the full stack i.e. data, models, agent workflows, integrations, and user-facing outputs and make sure what gets built solves the client's problem.
- Technical Fluency: Stay current on multi-agent systems, RAG, and modern AI frameworks enough to scope realistic engagements and hold credible technical conversations with clients and engineers.
- PoC to Production: Drive the path from requirements through PoC to production, presenting progress and outcomes to internal and external stakeholders at each stage.
Required Skills & Experience
- Project Management: Track record running client-facing technical projects end-to-end i.e. scoping, planning, milestones, risks, and stakeholder communication. You own the plan with minimal oversight.
- Fluent French (near-native): You can lead meetings, run workshops, and write deliverables in French.
- AI Literacy: Working understanding of modern AI frameworks (LangChain, LangGraph, LlamaIndex), RAG, multi-agent architectures, and evaluation — enough to scope work, challenge estimates, and speak credibly with engineers and clients. You don't need to ship the code.
Nice to have
- Hands-on AI engineering experience: Python, prompt engineering, RAG, agent frameworks, evaluation. You won't be expected to build, but the more you can, the more credibility you carry into client conversations.
- Hands-on Agentic Harness experience like Claude: API, Claude Code, or agentic workflows. Prior experience is a real differentiator.
- Experience in financial or regulatory reporting domains (e.g. trade reporting, fund reporting, or market data workflows).
- Exposure to smaller, domain-specific models (SLMs), including fine-tuning and deployment.
- Familiarity with cloud platforms (AWS, Azure, or GCP) for deploying AI services in production.
Soft Skills
- Stakeholder Management: Confident leading client conversations, managing expectations, surfacing risks early, and keeping multiple parties aligned across the lifecycle of a project.
- Ownership: Willing to take full responsibility for outcomes in a fast-paced, delivery-focused environment.
- Technical Diplomacy: Translate business needs into clear technical specifications and explain complex AI concepts to non-technical stakeholders.
- Pragmatic Delivery: Balance speed and engineering quality, making sound trade-offs to deliver effective solutions under real constraints.
Forward AI Engineer in London employer: Gentek.ai
Contact Detail:
Gentek.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Forward AI Engineer in London
✨Tip Number 1
Get your networking game on! Connect with folks in the AI and finance sectors on LinkedIn. Join relevant groups, attend webinars, and don’t be shy to reach out for informational chats. You never know who might have a lead on that Forward AI Engineer role!
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your understanding of AI frameworks and project management. This is your chance to demonstrate how you can turn complex requirements into structured solutions, just like we do at Gentek.
✨Tip Number 3
Practice makes perfect! Prepare for interviews by simulating client calls and workshops. Brush up on your French too, as being fluent will set you apart. Remember, you’ll need to translate business needs into technical specs, so get comfortable with that!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Gentek. Don’t forget to tailor your application to highlight your project management experience and AI literacy!
We think you need these skills to ace Forward AI Engineer in London
Some tips for your application 🫡
Show Your Understanding of AI: Make sure to highlight your knowledge of modern AI frameworks and multi-agent systems in your application. We want to see that you can hold credible conversations about AI, even if you're not coding it yourself!
Be Clear and Structured: When writing your application, structure your thoughts clearly. Just like you would in a project plan, outline your experience and how it aligns with the role. We love a well-organised application that makes it easy for us to see your fit!
Demonstrate Client Engagement Skills: Since you'll be the face of Gentek to clients, showcase any experience you have in leading calls or workshops. We want to know how you've turned ambiguous needs into structured plans in the past!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the Forward AI Engineer role. We can't wait to hear from you!
How to prepare for a job interview at Gentek.ai
✨Know Your AI Stuff
Make sure you brush up on your knowledge of modern AI frameworks like LangChain and RAG. Being able to discuss these topics confidently will show that you understand the technical side of the role, even if you're not coding yourself.
✨Master Project Management
Since you'll be running client engagements end-to-end, it's crucial to demonstrate your project management skills. Prepare examples of how you've scoped work, managed milestones, and communicated with stakeholders in previous roles.
✨Fluent French is Key
As you'll need to lead meetings and write deliverables in French, practice your language skills. Be ready to showcase your fluency during the interview, perhaps by discussing a relevant project or experience in French.
✨Showcase Your Stakeholder Management Skills
Prepare to discuss how you've managed client expectations and aligned multiple parties in past projects. Highlight specific instances where you surfaced risks early and maintained clear communication throughout the project lifecycle.