Senior AI Engineer
Listed on 2026-06-04
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Software Development
AI Engineer, Machine Learning/ ML Engineer, Cloud Engineer - Software
Senior AI Engineer ABOUT US
Procurify is the AI-enhanced procurement and AP automation platform for mid-market organizations. We make it easy for organizations to take control of spend and save money.
We’re looking for a pragmatic and thoughtful engineering leader to help scale our platform, development practices, and team.
ABOUT THE ROLEWe're seeking a Senior AI Engineer to join our growing team and help build the next generation of AI-powered SaaS solutions. This role requires a unique blend of backend engineering excellence and cutting‑edge AI expertise to deliver production‑ready, scalable AI features that directly impact our customers.
WHAT YOU’LL BE WORKING ONBuild AI-Powered Features
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Design, develop, and deploy production‑grade AI applications that solve real customer problems, from concept to deploymentArchitect Scalable Systems
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Create robust backend architectures that support AI workloads, ensuring low latency, high reliability, and seamless integration with existing servicesDrive AI Innovation
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Implement and optimize agentic AI systems, RAG pipelines, and multi‑agent workflows using modern LLM frameworksOwn the Full Stack
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Take end‑to‑end ownership of features, from database design and API development to AI model integration and monitoringCollaborate Cross‑Functionally
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Work closely with product, design, and data teams to translate business requirements into technical solutionsOptimize and Iterate
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Run experiments, A/B tests, and evaluations to continuously improve AI system performance and user experience
LEAD WITH CARES:
Commitment
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Demonstrates accountability and follow‑through, delivering reliably and owning outcomes in a way that others can depend on.Ambition
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Takes initiative with curiosity and a growth mindset, pursuing bold ideas that elevate impact and performance.Resilience
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Shows adaptability, composure, and perseverance through challenges, staying focused and effective in a fast‑changing environment.Excellence
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Brings rigor, collaboration, and a strong quality focus to deliver high‑performing solutions and raise the bar for outcomes.Simplicity
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Applies focus, clarity, and streamlining to cut through complexity and enable efficient, impactful execution.
WHO WE’RE LOOKING FOR
5+ years of hands‑on AI/ML engineering experience, building and deploying AI features in production environments
AI & ML
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Deep understanding of LLMs, prompt engineering, RAG architectures, vector databases (Databricks/pg Vector), and agentic AI frameworks (Lang Chain, Google ADK, or similar)Strong Python expertise with modern frameworks (FastAPI, Flask, Django) and microservice architecture patterns
Cloud & Dev Ops
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Experience with AWS/GCP/Azure, containerization (Docker/Kubernetes), and CI/CD pipelinesData Processing
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Strong foundation in statistical methods, data pipelines, and ETL processes
Experimentation Mindset
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Experience with A/B testing, evaluation frameworks, and hypothesis‑driven development to validate AI featuresQuality‑Focused
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Deep commitment to code quality, testing, monitoring, and observability in AI systemsAdaptable & Fast Learner
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Comfortable navigating ambiguity and rapidly adopting new AI technologies and methodologiesCollaborative
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Strong communication skills with ability to explain technical concepts to both technical and non‑technical stakeholders
A modern tech stack with opportunities to influence future architecture.
A culture committed to learning, experimentation, and engineering excellence.
Clear technical vision and empowered teams who own their outcomes.
Genuine collaboration, psychological safety, and a people‑first culture.
Meaningful problems to solve with real customer and business impact.
WHY PROCURIFY?
We’re committed to helping mission‑driven organizations spend smarter
Procurify is a remote‑first company with a big heart and a strong ambition to modernize the way organizations manage business spend. We’re looking for talented and team‑driven individuals to join us on our journey to build a place where the best people want to work – a place where every team member is empowered to apply their best thinking, push…
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