Principal Software Engineer

June 7

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DataRobot

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Artificial Intelligence • Enterprise • SaaS

DataRobot is a company that provides an AI platform and applications designed to integrate into core business processes. The company offers Enterprise AI Suite, AI Apps, and AI Platform services, which include Generative AI, Predictive AI, AI Governance, and AI Observability. DataRobot aims to help businesses develop, deliver, and govern AI solutions at scale, supporting industries such as energy, financial services, healthcare, manufacturing, and the public sector. With a focus on maximizing business impact and minimizing risk, DataRobot provides solutions that expedite deployment and secure numerous predictions each day.

501 - 1000 employees

Founded 2012

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

📋 Description

• DataRobot delivers AI that maximizes impact and minimizes business risk. • Our platform and applications integrate into core business processes. • Shape the long-term technical strategy for Generative AI at DataRobot. • Lead architectural decisions for GenAI tooling and systems. • Hands-on development: Build, ship and operate critical AI infrastructure. • Act as the technical advisor to engineering leadership and product teams. • Mentor Staff/Senior Engineers, elevating the team’s technical bar. • Partner with Research, Product, and GTM teams to align technical efforts.

🎯 Requirements

• A technical leader with 8+ years of software engineering experience, including 3+ years in AI/ML systems (Generative AI preferred). • Deep expertise in: Scalable systems: Distributed computing, containerization (Docker/K8s), and multi-cloud deployments (AWS/GCP/Azure/Openshift). • Software craftsmanship: Python, API design, and infrastructure-as-code (Terraform, Pulumi). • Proven track record of delivering multi-year, high-impact projects with cross-functional dependencies. • A systems thinker who balances innovation with operational pragmatism (e.g., cost-to-serve, technical debt). • Exceptional communication and influence skills—you can rally teams behind a technical vision. • Nice to Have: Deep expertise in Generative AI stack: LLMs (open/closed-source), fine-tuning, RAG, orchestration, and evaluation metrics. • Experience with MLOps tools and AI-specific infra (e.g., vector DBs, GPU optimization). • Contributions to open-source AI projects or published research in ML/GenAI. • Background in enterprise SaaS or B2B AI products.

🏖️ Benefits

• Medical, Dental & Vision Insurance • Flexible Time Off Program • Paid Holidays • Paid Parental Leave • Global Employee Assistance Program (EAP) and more!