P
Pivotvia Ashby
AI Engineer
ParisPosted 13h ago
ML EngineerMid LevelFull-time
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About the Role
ABOUT US
For most enterprises, procurement remains one of the least automated functions. Spend commitments travel through disconnected, outdated systems, email threads, spreadsheets, and manual approval chains, leaving finance teams with limited visibility until long after commitments have been made. This results in difficult closes, weakened forecasting, and teams spending too much time reconciling what the business planned to spend with what was recorded in the books. Legacy platforms haven't solved this, and modern intake tools only scratch the surface.
Pivot is ambitiously committed to solving this problem by filling the gap between legacy platforms and lightweight intake tools with an enterprise-grade AI operating system for Procurement, built from the system of record up.
The adventure started mid-2023 with three founders, former C-levels from fintech unicorns (Qonto and Swile) and highly experienced engineers from top-notch tech companies.
We’ve since raised $40M in a Series B round, totaling our funding to $70M, coming from tier-1 investors. We’ve built a team of 70, are operating across 25+ countries, and are trusted by enterprise leaders Lemonade, Wolt, and Flix.
We are looking for smart, execution-driven people to join our team, with a strong focus on excellence and a desire to achieve great things as a team.
WHAT YOU WILL DO
- Be among the first AI engineers at Pivot!
- Ship high-impact AI features end-to-end, such as document understanding, smart procurement workflows, fraud and anomaly detection, data enrichment, and copilots for buyers and finance teams.
- Build the core LLM application & orchestration layer, from prompts and retrieval to tool calling, agents, and structured outputs.
- Set up our AI engineering foundations, including evals, datasets, prompt/model versioning, observability, and safe rollout practices.
- Design a pragmatic, scalable AI architecture, covering model routing, caching, retries, async workflows, vector storage, and data pipelines.
- Own quality, trust, and performance for enterprise-grade AI features, including accuracy, latency, cost, auditability, and fallback strategies.
- Work closely with product, design, frontend, and backend teams to turn ambitious AI ideas into reliable product experiences.
- Raise the AI engineering bar across Pivot, sharing knowledge and best practices, tools, and processes as the team grows.
SKILLS AND EXPERIENCES
- You have 5+ years of experience in software engineering, including 2+ years shipping AI/ML features to production - with strong programming skills in Python or one other backend language (Typescript, Java, Kotlin, Go, Scala, C#, Ruby).
- You have hands-on experience with the modern LLM stack: frontier and open-source models, RAG, embeddings & vector databases, agent frameworks, and evaluation tooling.
- You understand MLOps fundamentals: eval pipelines, dataset versioning, monitoring, drift detection, and safe deployment of probabilistic systems.
- You understand backend systems (databases, APIs & 3rd-party integrations, security, performance) and are comfortable in micro-services and event-driven architectures.
- You are rigorous about best practices and know how to translate them to the AI world (evals as tests, prompts as code, data as a first-class artifact).
- You are fluent in English - it is our business language
MINDSET
- You care about solving real user problems, not adding AI for the sake of it.
- You think product-first, with a strong focus on user experience, business impact, and measurable value.
- You are pragmatic about technology choices: you know when to use a frontier LLM, a smaller model, a classifier, a rule-based system, or a simple regex.
- You like turning ambiguity into simple, reliable systems, and you are comfortable starting from zero.
- You write high-quality code and make thoughtful trade-offs between speed, robustness, cost, and maintainability.
- You are curious, open-minded, and non-dogmatic, with a willingness to challenge ideas and be challenged.
- You enjoy the pace of an early-stage scale-up, taking ownership, moving fast, and bringing clarity when things are still being defined.
- You are a strong team player, eager to share knowledge, raise the bar, and build with smart, kind, and ambitious people.
For most enterprises, procurement remains one of the least automated functions. Spend commitments travel through disconnected, outdated systems, email threads, spreadsheets, and manual approval chains, leaving finance teams with limited visibility until long after commitments have been made. This results in difficult closes, weakened forecasting, and teams spending too much time reconciling what the business planned to spend with what was recorded in the books. Legacy platforms haven't solved this, and modern intake tools only scratch the surface.
Pivot is ambitiously committed to solving this problem by filling the gap between legacy platforms and lightweight intake tools with an enterprise-grade AI operating system for Procurement, built from the system of record up.
The adventure started mid-2023 with three founders, former C-levels from fintech unicorns (Qonto and Swile) and highly experienced engineers from top-notch tech companies.
We’ve since raised $40M in a Series B round, totaling our funding to $70M, coming from tier-1 investors. We’ve built a team of 70, are operating across 25+ countries, and are trusted by enterprise leaders Lemonade, Wolt, and Flix.
We are looking for smart, execution-driven people to join our team, with a strong focus on excellence and a desire to achieve great things as a team.
WHAT YOU WILL DO
- Be among the first AI engineers at Pivot!
- Ship high-impact AI features end-to-end, such as document understanding, smart procurement workflows, fraud and anomaly detection, data enrichment, and copilots for buyers and finance teams.
- Build the core LLM application & orchestration layer, from prompts and retrieval to tool calling, agents, and structured outputs.
- Set up our AI engineering foundations, including evals, datasets, prompt/model versioning, observability, and safe rollout practices.
- Design a pragmatic, scalable AI architecture, covering model routing, caching, retries, async workflows, vector storage, and data pipelines.
- Own quality, trust, and performance for enterprise-grade AI features, including accuracy, latency, cost, auditability, and fallback strategies.
- Work closely with product, design, frontend, and backend teams to turn ambitious AI ideas into reliable product experiences.
- Raise the AI engineering bar across Pivot, sharing knowledge and best practices, tools, and processes as the team grows.
SKILLS AND EXPERIENCES
- You have 5+ years of experience in software engineering, including 2+ years shipping AI/ML features to production - with strong programming skills in Python or one other backend language (Typescript, Java, Kotlin, Go, Scala, C#, Ruby).
- You have hands-on experience with the modern LLM stack: frontier and open-source models, RAG, embeddings & vector databases, agent frameworks, and evaluation tooling.
- You understand MLOps fundamentals: eval pipelines, dataset versioning, monitoring, drift detection, and safe deployment of probabilistic systems.
- You understand backend systems (databases, APIs & 3rd-party integrations, security, performance) and are comfortable in micro-services and event-driven architectures.
- You are rigorous about best practices and know how to translate them to the AI world (evals as tests, prompts as code, data as a first-class artifact).
- You are fluent in English - it is our business language
MINDSET
- You care about solving real user problems, not adding AI for the sake of it.
- You think product-first, with a strong focus on user experience, business impact, and measurable value.
- You are pragmatic about technology choices: you know when to use a frontier LLM, a smaller model, a classifier, a rule-based system, or a simple regex.
- You like turning ambiguity into simple, reliable systems, and you are comfortable starting from zero.
- You write high-quality code and make thoughtful trade-offs between speed, robustness, cost, and maintainability.
- You are curious, open-minded, and non-dogmatic, with a willingness to challenge ideas and be challenged.
- You enjoy the pace of an early-stage scale-up, taking ownership, moving fast, and bringing clarity when things are still being defined.
- You are a strong team player, eager to share knowledge, raise the bar, and build with smart, kind, and ambitious people.
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