AI Engineer

About us

Every company that scales lives or dies by its procurement function. It manages the vendor relationships that keep operations running, the financial guardrails that prevent overspend, and the supply chain resilience that determines whether a company survives a crisis or folds under one. And yet, the people doing this work spend 80% of their time in spreadsheets. Not because they lack ambition, because the tools haven't changed in 25 years.

Pivot is building the AI operating system for procurement: enterprise-grade infrastructure that hands the manual grind to AI agents so procurement teams can do what they were actually hired to do, shape the strategic future of their companies. Our platform combines intake, approvals, vendor management, invoice matching, and ERP integrations in a single AI-native platform.

We've lived this frustration firsthand. We built Pivot because we couldn't find what we needed, and because we believe procurement shouldn't be the last function to enter the AI era. It should be the first.

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 like DoorDash, Lemonade, Wolt, and Flix

We're looking for smart, execution-driven people who care about building something exceptional.

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.