Senior Software Engineer, AI Platform - Evaluation & Annotation at Datadog

Valbonne, Provence-Alpes-Côte d'Azur, France -

Full Time

Start Date

Immediate

Expiry Date

03 Jul, 26

Salary

0.0

Posted On

04 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Distributed systems, Machine learning, LLMs, AI agents, Evaluation pipelines, Annotation workflows, CI/CD, Observability, System design, Prompt analysis, Trust and safety, Python, Infrastructure engineering, Data analysis, Mentorship

Industry

Software Development

Description

The AI Platform team at Datadog builds the infrastructure that powers the next generation of generative AI features across our products. As a Senior Software Engineer on the Evaluation and Annotation team, you will design and evolve the systems that define and measure AI quality at scale. This includes building evaluation pipelines, model performance monitoring, and annotation workflows that assess correctness, safety, bias, and reliability across production use cases. Your work will directly shape how Datadog ships and maintains trustworthy AI capabilities. You will partner closely with product, ML, and infrastructure teams to define quality standards, integrate evaluation systems with our observability platform, and build human-in-the-loop feedback mechanisms that continuously improve model behavior. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Design and scale robust evaluation systems to measure the performance and reliability of LLMs and AI agents across Datadog’s product ecosystem Lead efforts to build human-in-the-loop and automated annotation pipelines for model assessment, ensuring high-quality training and feedback data Define and implement continuous evaluation workflows in CI/CD and production environments to monitor model behavior in real time Analyze model outputs for correctness, bias, safety, and reliability and translate insights into actionable improvements Collaborate cross-functionally with Applied Scientists, Researchers, product managers, and platform engineers to establish best practices for responsible AI Mentor team members and contribute to long-term technical strategy focused on AI quality, trust, and safety Who You Are: You have 6+ years of experience building large-scale distributed systems or machine learning systems in production environments You’ve designed infrastructure to support AI/ML model evaluation, annotation, or benchmarking workflows You approach engineering with a focus on system design, long-term maintainability, and reliability You bring a strong understanding of AI/ML concepts, including evaluation metrics, prompt analysis, and trust & safety challenges You thrive in cross-functional teams and communicate effectively with technical and non-technical stakeholders You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output. Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products. Bonus: you’ve used open-source tools like evaluation frameworks (e.g., lm-eval-harness), vector databases, or human feedback loops Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intradepartmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Access to Inclusion Talks, our internal panel discussions Free, global mental health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Hybrid About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Responsibilities

You will design and scale robust evaluation systems to measure the performance and reliability of LLMs and AI agents across the product ecosystem. Additionally, you will lead the development of human-in-the-loop and automated annotation pipelines to ensure high-quality model assessment.