Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead client engagements, manage projects, and shape AI solutions for financial and energy markets.
- Company: Gentek, a pioneering agentic AI company transforming regulatory reporting.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to engage with leading organisations and cutting-edge technology.
- Why this job: Be at the forefront of AI innovation and make a real impact in global markets.
- 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 City of 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 City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to AI engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable with articulating your thoughts.
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, having tangible examples of your work can really set you apart. Make sure to highlight any AI frameworks or tools you've used that are relevant to the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Forward AI Engineer in City of 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 About Your Project Management Skills: Since you'll be owning client engagements, it's crucial to demonstrate your project management experience. We love seeing examples of how you've scoped, planned, and communicated with stakeholders in past roles.
Tailor Your Application to Gentek: Take a moment to connect your skills and experiences directly to the role at Gentek. We appreciate when candidates show they understand our mission and how they can contribute to our goals.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
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 things, which is crucial for a Forward AI Engineer role.
✨Master Project Management
Since you'll be running client engagements end-to-end, it’s essential to demonstrate your project management skills. Prepare examples of how you've scoped work, managed risks, and aligned stakeholders in previous projects. This will highlight your ability to take ownership and deliver results.
✨Fluent French is Key
As you'll need to lead meetings and write deliverables in French, practice your language skills before the interview. Be ready to showcase your fluency by discussing your experience in both languages, as this will set you apart from other candidates.
✨Showcase Your Stakeholder Management Skills
Prepare to discuss how you've managed client expectations and communicated complex ideas to non-technical stakeholders. Use specific examples to illustrate your ability to keep everyone aligned and informed throughout a project lifecycle.