DataRobot
Overview
Join to apply for the
Principal Software Engineer
role at
DataRobot . As a Principal Software Engineer for Generative AI at DataRobot, you will be the technical anchor for our GenAI Tooling and Systems teams, shaping the architecture, ensuring scalability, and defining the future direction of our AI platform. This is a technical leadership position where you’ll drive multi-year projects, mentor senior engineers, and ensure our Generative AI solutions deliver real business impact. You’ll work with research, engineering, and product, translating cutting-edge AI advancements into robust system capabilities that power real-world applications. This role is for you if you’re passionate about LLMs, Agents, AI Apps, AI orchestration, and scalable tooling, and you thrive on solving open-ended, cross-functional, ambiguous challenges. Key Responsibilities
Technical Vision: Shape the long-term technical strategy for Generative AI at DataRobot, ensuring systems are scalable, maintainable, and aligned with business goals. Architectural Leadership: Lead architectural decisions for GenAI tooling (Agents, Agentic Workflows, Prompt Management, Frameworks & Libraries, LLM Onboarding, Tools, Multi-Agent Evaluations, Multimodality) and GenAI systems (Inference optimization, Distributed Training, Finetuning, Distillation, LLM Moderation and Guardrails). Risk Management: Anticipate technical risks and propose mitigation strategies before they become roadblocks. Execution & Impact: Hands-on development to build, ship, and operate critical AI infrastructure; balance rapid iteration with long-term technical health. Cross-Functional Collaboration: Solve cross-pillar challenges (e.g., LLM latency/cost, Agentic/RAG workflows, reproducibility) and drive observability, reliability, and performance in production. Leadership & Mentorship: Advise engineering leadership and product teams, mentor Staff/Senior Engineers, and elevate the team’s technical bar through design reviews and knowledge sharing. Culture & Quality: Foster a culture of innovation, rigor, and production readiness for AI solutions. Communication: Partner with Research, Product, and GTM teams; translate complex technical concepts for executives and non-technical stakeholders. Knowledge, Skills & Abilities
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), 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. Systems thinker with a balance of innovation and operational pragmatism (cost-to-serve, technical debt). Exceptional communication and influence skills to 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 infrastructure (vector DBs, GPU optimization). Contributions to open-source AI projects or published ML/GenAI research. Background in enterprise SaaS or B2B AI products. Why Join Us?
Lead the GenAI revolution at a company where AI is the core product. Collaborate with a world-class team of AI researchers, engineers, and product leaders. Define the future of our AI platform; your work will shape DataRobot’s trajectory. Compensation & Benefits
DataRobot provides a competitive benefits package; details depend on location and local requirements and may include Medical, Dental & Vision Insurance, Flexible Time Off, Paid Holidays, Paid Parental Leave, Global EAP, and more. EEO & Equal Opportunity
DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy-related conditions), sexual orientation, gender identity or expression, age, protected veteran status, disability, or other legally protected characteristics. DataRobot provides reasonable accommodations to applicants with physical and mental disabilities. All applicant data is handled in accordance with our Applicant Privacy Policy. Company Principles
Wow Our Customers Set High Standards Be Better Than Yesterday Be Rigorous Assume Positive Intent Have Tough Conversations Be Better Together Debate, Decide, Commit Deliver Results Overcommunicate Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
Software Development
#J-18808-Ljbffr
Join to apply for the
Principal Software Engineer
role at
DataRobot . As a Principal Software Engineer for Generative AI at DataRobot, you will be the technical anchor for our GenAI Tooling and Systems teams, shaping the architecture, ensuring scalability, and defining the future direction of our AI platform. This is a technical leadership position where you’ll drive multi-year projects, mentor senior engineers, and ensure our Generative AI solutions deliver real business impact. You’ll work with research, engineering, and product, translating cutting-edge AI advancements into robust system capabilities that power real-world applications. This role is for you if you’re passionate about LLMs, Agents, AI Apps, AI orchestration, and scalable tooling, and you thrive on solving open-ended, cross-functional, ambiguous challenges. Key Responsibilities
Technical Vision: Shape the long-term technical strategy for Generative AI at DataRobot, ensuring systems are scalable, maintainable, and aligned with business goals. Architectural Leadership: Lead architectural decisions for GenAI tooling (Agents, Agentic Workflows, Prompt Management, Frameworks & Libraries, LLM Onboarding, Tools, Multi-Agent Evaluations, Multimodality) and GenAI systems (Inference optimization, Distributed Training, Finetuning, Distillation, LLM Moderation and Guardrails). Risk Management: Anticipate technical risks and propose mitigation strategies before they become roadblocks. Execution & Impact: Hands-on development to build, ship, and operate critical AI infrastructure; balance rapid iteration with long-term technical health. Cross-Functional Collaboration: Solve cross-pillar challenges (e.g., LLM latency/cost, Agentic/RAG workflows, reproducibility) and drive observability, reliability, and performance in production. Leadership & Mentorship: Advise engineering leadership and product teams, mentor Staff/Senior Engineers, and elevate the team’s technical bar through design reviews and knowledge sharing. Culture & Quality: Foster a culture of innovation, rigor, and production readiness for AI solutions. Communication: Partner with Research, Product, and GTM teams; translate complex technical concepts for executives and non-technical stakeholders. Knowledge, Skills & Abilities
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), 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. Systems thinker with a balance of innovation and operational pragmatism (cost-to-serve, technical debt). Exceptional communication and influence skills to 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 infrastructure (vector DBs, GPU optimization). Contributions to open-source AI projects or published ML/GenAI research. Background in enterprise SaaS or B2B AI products. Why Join Us?
Lead the GenAI revolution at a company where AI is the core product. Collaborate with a world-class team of AI researchers, engineers, and product leaders. Define the future of our AI platform; your work will shape DataRobot’s trajectory. Compensation & Benefits
DataRobot provides a competitive benefits package; details depend on location and local requirements and may include Medical, Dental & Vision Insurance, Flexible Time Off, Paid Holidays, Paid Parental Leave, Global EAP, and more. EEO & Equal Opportunity
DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy-related conditions), sexual orientation, gender identity or expression, age, protected veteran status, disability, or other legally protected characteristics. DataRobot provides reasonable accommodations to applicants with physical and mental disabilities. All applicant data is handled in accordance with our Applicant Privacy Policy. Company Principles
Wow Our Customers Set High Standards Be Better Than Yesterday Be Rigorous Assume Positive Intent Have Tough Conversations Be Better Together Debate, Decide, Commit Deliver Results Overcommunicate Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
Software Development
#J-18808-Ljbffr