Founding Engineer

The French Sourcer; Berlin; On-site; EUR 120,000 - 180,000; Full time

Benefits offered by this job

Equity participation

Full benefits package

Job summary

The French Sourcer in Berlin is seeking a Founding Engineer to help build AI agents that manage the full recruiting cycle. You will own platform architecture, build data pipelines from CV parsing to unified candidate profiles, and craft autonomous agents that qualify and schedule interviews.

You’ll work directly with the founders and leadership on scalable, production-grade systems. You will tackle retrieval-augmented generation, vector search, and real-time matching, shaping a founding-stage

Qualifications

• Solid full-stack experience with shipping scalable systems.
• Hands-on experience with generative AI in production: RAG, vector search, LLM APIs, agents.
• Experience with search indexing and serverless databases.
• A builder profile with projects created from scratch; side/open source count.
• Comfort making pragmatic decisions with incomplete information and iterating quickly.
• Fluent English.
• Bonus: previous early-stage startup or founding team experience.

Responsibilities

• Owning the architecture and scalability of a platform used by customers, working with founders and leadership.
• Building data pipelines for candidate information from CVs to integrated profiles across sources.
• Designing and improving autonomous conversational agents to reach out to candidates, qualify them and schedule interviews.
• Building real-time matching between candidates and roles, improving relevance with each release.
• Taking features from idea to production, shipping fast, and iterating based on real user feedback.

Skills

Solid full-stack experience

Generative AI in production

Search indexing

Serverless databases

Builder profile

Fluent English

Early-stage startup experience (bonus)

Job description

Founding Engineer - Berlin
Berlin, Germany · Permanent · On-site

Be one of the first engineers building AI agents that run recruiting end to end, at the stage where your architecture choices become the product.

What you'd actually work on

• Owning the architecture and scalability of a platform already used by a growing base of customers, working directly with the founders and technical leadership


• Building data pipelines for candidate information, from parsing CVs and documents to combining signals from several external platforms into one clean profile


• Designing and improving the logic behind autonomous conversational agents that reach out to candidates, qualify them and schedule interviews


• Building real-time matching between candidates and roles, and making it measurably better with each release


• Taking features from idea to production yourself, shipping fast, reading how real users react, and iterating without waiting for a process to tell you what to do next

Where it gets technically interesting

• LLM work that goes far beyond calling an API: retrieval-augmented generation, vector search and agent frameworks that must behave reliably with real candidates on the other end


• Matching quality is the product, so every gain in ranking relevance has a direct, visible impact on customers


• Messy real-world data: CVs in every format, incomplete profiles and conflicting signals from different sources that the pipeline has to reconcile


• A modern full-stack setup with serverless databases and advanced search indexing, where latency and cost both matter as usage grows


• A founding-stage codebase, so you shape the technical foundations instead of inheriting someone else's decisions

What we're looking for

• Solid full-stack experience with a track record of shipping scalable, production-grade systems


• Hands-on experience with generative AI in production: RAG, vector search, LLM APIs or agent frameworks, beyond simple prompt integrations


• Experience with search indexing and serverless databases


• A builder profile, with projects you created from scratch, where side projects and open source count as much as job titles


• Comfort making pragmatic decisions with incomplete information and iterating quickly based on real usage


• Fluent English


• Bonus: previous early-stage startup or founding team experience

The company
An early-stage AI startup, headquartered in the US with an engineering team in Berlin, building autonomous agents that handle the full recruiting cycle, from sourcing passive talent to interview coordination. You'll be part of the founding engineering group, working closely with the founders. The culture is intense but balanced, with no hacker house expectations. Equity participation, with the full benefits package being finalized.