Pivot
fintech
AIEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“AI Engineer at Pivot. Skills: AI/ML feature development, LLM application layer development, AI engineering foundations, AI architecture design, MLOps. define agentic product roadmap. ship high-impact AI features end-to-end”
What You'll Achieve.
achieve great things as a team; measurable value
Industry & Context.
solving real user problems; turning ambiguity into simple, reliable systems
What They're Looking For.
Must Have
5+ years of experience in software engineering, at least 2 years shipping AI/ML features to production, programming skills in Python or one other backend language (Java, Kotlin, Go, Scala, C#, Ruby), hands-on experience with the modern LLM stack: frontier and open-source models, RAG, embeddings & vector databases, agent frameworks, and evaluation tooling, MLOps fundamentals: eval pipelines, dataset versioning, monitoring, drift detection, and safe deployment of probabilistic systems, backend systems (databases, APIs & 3rd-party integrations, security, performance), comfortable in micro-services and event-driven architectures, 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)
Nice to Have
Kubernetes a plus
What You'll Do.
define agentic product roadmap
ship high-impact AI features end-to-end
build the core LLM application layer
set up AI engineering foundations
scalable AI architecture
and performance for enterprise-grade AI features
raise the AI engineering bar across Pivot
How You'll Work.
Team & Collaboration
work closely with product, design, frontend, and backend teams; share best practices, tools, and processes; share knowledge; build with smart, kind, and ambitious people
Communication Scope
fluent in English
Full Job Description
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 Spend commitments travel through disconnected, outdated systems, email threads, spreadsheets, and manual approval chains, leaving finance teams with limited visibility until long after commitments have been made.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 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 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 the first AI engineer at Pivot and help define our agentic product roadmap. - Ship high-impact AI features end-to-end, such as document understanding, smart procurement workflows, anomaly detection, and copilots for buyers and finance teams. - Build the core LLM application 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 reli
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