Founding Forward Deployed Engineer - AI Engineer (H/F)

Permanent contract · Paris (Opéra) · Hybrid

You turn our AI platform into results for each customer, and you build the tools that make every deployment faster than the last.

About AlloBrain

Customer experience is one of the areas where generative AI is transforming companies most deeply. AlloBrain builds the platform that lets them do it.

Voice and chat agents, real-time assistance for contact center advisors, analysis of every customer conversation: our platform covers the whole chain. It processes millions of conversations a year for large organizations such as SNCF, Groupama and FDJ, as well as major European BPOs.

Behind it is a small, highly talented product and AI team working at the state of the art of conversational AI: real-time speech-to-speech voice agents, multi-step agent orchestration with tool use, and evaluation pipelines built on real conversations.

AlloBrain was founded in 2020 and leads its market in France. We have just raised $7M to accelerate in France and internationally, starting with the Middle East.

We're around 30 people today, and this hire is part of the first wave of this new chapter.

The role

Between a signed contract and an AI agent that performs in production, there is a discipline: understanding the customer's real workflows, finding the data that matters, connecting it, configuring the platform, testing against real conversations, and iterating until the results hold up.

Models are the same for everyone. An agent gives the right answer when someone deeply understands the customer's business and feeds it the right data. That is the heart of this role.

As AlloBrain's first Forward Deployed Engineer, you take our customers from signature to production, paired with a Customer Success Manager on each account. You understand their stakes, identify the data that matters, plug it in, and make sure our agents perform on real conversations. Whatever repeats from one deployment to the next, you automate. On strategic deals, you also step in before the signature, alongside the sales team.

You're also the person closest to our users, which makes you the first to see what the product should become. You'll join the AI team and work hand in hand with Customer Success and Product.

Your impact is tangible: agents that answer correctly, customer teams that adopt them, and a product that evolves with what you've seen in the field.

What you'll do

Understand what the customer really needs. With the Customer Success Manager, you dig into the stakes behind the request: what costs the contact center the most, what frustrates end customers, what would make a difference in three months.

Unlock the value. You find where the information lives on the customer's side: knowledge bases, CRM, call history, business tools. You sort out what is reliable and what contradicts itself, then you build the data flows that give our agents the right information at the right time.

Make the AI good, and prove it. You configure the agents, their instructions and the tools they call mid-conversation. You evaluate them on real conversations. When an agent gets something wrong, you trace it back to the root cause and fix it at the source.

Automate what can be automated. Every task you repeat from one customer to the next is a chance to build a tool: an import script, a test-set generator, a reusable connector, an agent that drafts a configuration. You build these tools continuously, for yourself and for the team, and the best ones become part of the product.

Propose what comes next. You spot the use cases a customer isn't exploiting yet and propose the next project: a new journey to automate, or an analysis that answers a question from leadership.

Help win strategic deals. On key opportunities, you join the sales team in pre-sales. You take part in technical calls with the prospect, build advanced demos on their use case, and run POCs that prove the value on their own data.

Shape the product. You bring field insights to the tech and product teams, and you work with them to get those insights into production.

What you'll love

State-of-the-art AI, built in-house. Beyond access to the latest models, you work on a product that pushes conversational AI as far as it goes today: real-time voice agents, agents that reason and act across several steps, evaluation on real conversations. New models are benchmarked as soon as they come out, and the best ones reach production.

Technical problems that change every month. A knowledge base that contradicts itself, a voice agent that has to answer fast and accurately, a customer system to connect without documentation: every deployment brings a new challenge.

Your own tools. You're free to build whatever saves you time, and to see the whole team adopt it.

Visible impact, fast. What you ship serves real customers within weeks, at large accounts.

Direct influence on the product. You're on the front line, and the tech and product teams build with you.

Many industries, several countries. Transport, insurance, public services, in France and the Middle East: every customer teaches you a new business.

A rare skill set. AI deployment is one of the most sought-after skills on the market today. Here, you learn it on systems that run in production at scale.

The right moment. You join AlloBrain as it goes from French leader to international player. As our first FDE, you define the methods and tools of the role.

How we work

• One pair per customer: you on data and technology, the Customer Sucess Manager on the relationship and adoption.

• An agent is ready once it has been measured on real conversations.

• What we do twice, we automate the third time.

• You talk directly to whoever you need: the founders, the tech team, the customer's CIO.

• We stay close to reality: we test fast on real conversations and improve based on what we observe.

What we offer

• A competitive salary, based on experience.

• Offices in central Paris, near Opéra. Hybrid policy, with a team that values being together. Occasional customer visits.

• Alan health insurance, fully employer-funded.

• Swile card, €10 per worked day.

• 9 additional RTT days per year.

Hiring process

1. Initial interview with your future manager.

2. Technical case study on a real deployment scenario: we give you a fictional customer's sources, and you tell us what you'd connect, what you'd automate, and how you'd know the agent is good.

3. Meeting with the team, and a conversation with one of our founders.

4. References, then offer.

What we're looking for

Above all, a high degree of autonomy. We give you a customer and a goal, and you find the way there, leaning on the team when a decision affects the product or the customer relationship.

• An engineering degree in data science, data engineering, AI or software engineering.

• 4+ years of experience, part of it working directly with customers or business users.

• Solid software engineering foundations: you write clean, tested, maintainable code, and you're at ease designing APIs, data pipelines and integrations with external systems. We work mostly in Python, with SQL and NoSQL databases, in the cloud.

• Hands-on experience building with LLMs: prompting, RAG, agents or evaluation.

• AI is part of how you work every day. You've rebuilt part of your own workflow around it, and you can tell us exactly how.

• A taste for tooling: when a task repeats, your reflex is to automate it.

• At ease with customers: you can run a workshop, write a clear summary and hold your ground on a technical trade-off.

• Project management: you run several deployments in parallel and meet your deadlines.

• Business sense: you connect every technical choice to what it brings the customer.

• Fluent French and English. Arabic is a real plus for our customers in the Middle East.

Don't tick every box? Apply anyway. We look at what you've built before we look at the list.