Arkestro - Lead AI/ML Engineer
Requirements
• 6+ years of experience in data science, machine learning engineering, or a related quantitative/engineering field, including hands-on production ML or AI system delivery • Strong software engineering skills, particularly in Python • Direct experience building & shipping ML models or AI/agentic functionality in production • Experience building/curating evaluation sets/ground truth for ML or LLM-based systems • Experience with MLOps tools and practices for production ML/AI systems • Familiarity with cloud platforms (preferably AWS) and data warehousing (e.g. Snowflake) • Understanding of machine learning concepts and their practical, production application • Experience with version control and CI/CD practices • Demonstrated ability to lead technical work with limited oversight and to influence technical direction without formal authority • Excellent problem-solving and analytical skills • Experience embedding LLM-based or agentic features into a production product • Experience with dbt for data transformations • Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes) • Experience mentoring other engineers or acting as a technical go-to person on a team • Knowledge of procurement and/or supply chain data models • Prior experience in enterprise software and startups • If you're passionate about turning innovative ideas into scalable solutions and want to make a significant impact in the procurement space, we'd love to hear from you. Join us in revolutionizing how companies manage their spend and supply chains! • $160,000 - $200,000 USD • Arkestro is committed to providing our employees with a benefits package designed to give you the flexibility you need to ensure a healthy life/work balance. Arkestro offers our employees great benefits and perks, including, but not limited to: • Competitive salary and startup equity • Medical, Dental, Vision insurance premiums covered up to 100% (employee only) • 401K discretionary employer matching • A remote-first team with regular opportunities to get together in person for team building, design sprints, and customer visits • Annual budget of $1,000 for learning and professional development • Diverse, inclusive, highly collaborative, and vibrant culture
Responsibilities
• Design, build, and productionize machine learning and agentic AI functionality yourself • Partner with product engineering squads to embed AI and agentic capabilities directly into Arkestro's product. • Contribute to architecture decisions for how Arkestro builds AI products and systems, including our still-evolving AI/ML stack. • Contribute to dbt and data pipeline work when it's needed for the systems you build • Own evals and ground truth for the projects you lead, in partnership with PMs and stakeholders. Work with our existing ML engineer to build and curate the human-generated evals that feed our in-house automated eval system. • Build and maintain the tooling that gets AI/ML systems into production reliably, treating latency, cost, and error handling as first-class concerns. • Champion safety, reliability, and responsible-AI practices in the systems you build: flag risk, build in guardrails, and help define what "production-ready" means for AI features at Arkestro. • Act as a go-to resource for other engineers on AI/ML best practices. • Communicate clearly with both technical and non-technical stakeholders. • Occasionally engage directly with customers or customer-facing teams to explain how AI-driven functionality works
Benefits
• $160,000 - $200,000 USD • Arkestro is committed to providing our employees with a benefits package designed to give you the flexibility you need to ensure a healthy life/work balance. Arkestro offers our employees great benefits and perks, including, but not limited to: • Medical, Dental, Vision insurance premiums covered up to 100% (employee only) • 401K discretionary employer matching • A remote-first team with regular opportunities to get together in person for team building, design sprints, and customer visits • Annual budget of $1,000 for learning and professional development • Diverse, inclusive, highly collaborative, and vibrant culture
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