> Markdown version of [/jobs/ext/2001380-ai-engineer](https://www.wearedevelopers.com/jobs/ext/2001380-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Ai Engineer - **Company:** Datadogs - **Location:** Barcelona, Spain - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Python (Programming Language), System Programming, Strategies of Testing, Datadog, Large Language Models, Backend, AI Platforms - **Published:** August 9, 2026 - **Apply:** https://www.adzuna.es/contact-us.html ## About the Role + You have experience with Go, Python or similar systems programming languages + You have 6+ years of relevant engineering experience + You have hands-on experience delivering production AI-powered products and customer-facing experiences using LLM technologies. + You approach engineering through a strong product mindset and can connect technical decisions to customer outcomes and business impact. + You have experience building reliable systems that manage model non-determinism through evaluation frameworks, testing strategies, and operational excellence 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. ## Description Datadog Notebooks provide customers with a collaborative surface for ad-hoc data analysis, technical documentation, incident postmortems and runbooks. The power and flexibility of Notebooks also makes it the perfect place to integrate AI tools that can augment user workflows. Our vision is that in Notebooks users can collaborate with each other and with AI agents seamlessly. We are looking for a product-oriented Senior Software Engineer to help build the AI-assisted workflows that are becoming central to how customers use Notebooks. In this role you will work closely with product and design, and own platforms for analysis workflows and context discovery. There is a real opportunity for impact here: turning Notebooks into the tool that helps customers go from uncertainty to answer, and making that knowledge retrievable and reusable across Datadog products. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do + Lead the design and delivery of AI-powered product experiences for Notebooks and adjacent surfaces + Develop systems that combine deterministic product capabilities with LLM-powered experiences to deliver trustworthy and explainable customer outcomes + Partner closely with Product: Work hand-in-hand with the Product Manager to translate customer problems, adoption signals, and roadmap goals into concrete technical decisions and iterations + Build experiences that enable Datadog capabilities to operate within third-party AI platforms, agents, and conversational environments + Provide technical leadership and mentorship while helping establish AI engineering best practices + Own production systems: Build and operate reliable backend services that run in the critical path of customer deployments, and be on-call for those services, + New hire stock equity (RSUs) and employee stock purchase plan (ESPP) + Continuous professional development, product training, and career pathing + Intra-departmental mentor and buddy program for in-house networking + An inclusive company culture, ability to join our Community Guilds + Access to Inclusion Talks, our Internal panel discussions + Free, global Spring 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 Inscribirse en esta oferta ## Related Videos - [You are not an AI developer](https://www.wearedevelopers.com/videos/1148-you-are-not-an-ai-developer) - [This App Reached 10,000 Users in One Week. Here's How.](https://www.wearedevelopers.com/videos/100329-this-app-reached-10-000-users-in-one-week-here-s-how) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Debugging in the Dark](https://www.wearedevelopers.com/videos/1658-debugging-in-the-dark) - [MLOps and AI Driven Development](https://www.wearedevelopers.com/videos/347-mlops-and-ai-driven-development) - [From AI Assistance to Agentic Systems: Scaling Sovereign AI in Banking](https://www.wearedevelopers.com/videos/100070-from-ai-assistance-to-agentic-systems-scaling-sovereign-ai-in-banking) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)