Senior AI Engineer - Sana

Workday; Stockholms kommun; Hybrid; SEK 810,000 - 1,214,000; Full time

Benefits offered by this job

Workday Bonus Plan

Flex Work

Annual stock grants

Job summary

Workday is looking for a Software Engineer to build core agent infrastructure for their AI product, Sana. This role presents a greenfield opportunity to define AI agents that manage complex enterprise environments.

Key qualifications include 3+ years in software engineering, especially in TypeScript, and experience with distributed systems. The position offers flexible working arrangements and competitive pay ranging from kr810,000 to kr1,214,000 SEK annually.

Qualifications

• 3+ years in software engineering building production backend or platform systems.
• 3+ years in TypeScript with a track record of writing reliable services.
• 3+ years with distributed systems, APIs, asynchronous workflows.

Responsibilities

• Architect multi-step planning and orchestration for agents.
• Implement code-generation agents and sandboxed execution.
• Develop safe fallbacks and robust error handling.

Skills

Software engineering

TypeScript

Distributed systems

APIs

Service-oriented architecture

Tools

Kubernetes

Postgres

Redis

Job description

About The Team

Sana is an AI lab building superintelligence for work. We believe organizations can accomplish their missions faster when teams can effortlessly access knowledge, automate repetitive work, and learn anything with the help of agentic AI. As part of Workday, we are committed to building AI that augments people— not replaces them. We bring this mission to life through two products. Sana Agents provide a seamless way to access all your company’s apps, knowledge, and data, enabling AI agents to do real work so teams can process and act on information at unprecedented scale. Sana Learn is an AI‑powered learning hub that combines the simplicity of a modern learning platform with intelligent features such as an AI tutor, automated content generation, and interactive apps, making knowledge not just accessible but actionable. We’re a talent‑dense, product‑obsessed team of engineers and designers from companies such as Google, Spotify, Apple, and Databricks, united by deep technical excellence and rapid iteration. Our tools already help over a million people learn and work better across hundreds of leading enterprises—and we’re just getting started.

About The Role

You’ll build the core agent infrastructure that powers Sana’s mission to bring superintelligence to work. This is a greenfield opportunity to define how AI agents plan, reason, and execute across enterprise environments—building systems that reliably handle real‑world complexity at scale. You’ll work at the intersection of agent architecture, context, tool, and prompt engineering, and production infrastructure.

In this role, you will

• Architect multi‑step planning, orchestration, and tool routing for agents
• Implement code‑generation agents and sandboxed code execution
• Engineer memory, state, and context packing/grounding strategies
• Balance latency, quality, and cost controls for agent execution
• Develop safe fallbacks, graceful degradation, and robust error handling
• Collaborate with platform and search teams to deliver reusable agent infrastructure
• Establish safety guarantees and measurable quality improvements

About You

Basic Qualifications

• 3+ years of software engineering experience building production backend or platform systems
• 3+ years of experience in TypeScript, with a strong track record of writing reliable, maintainable services
• 3+ years of experience with distributed systems, APIs, asynchronous workflows, and service‑oriented architecture
• 3+ years of experience designing systems focused on scalability, reliability, observability, and maintainability

Other Qualifications

• Experience building and deploying LLM‑powered applications in production
• Experience building agent platforms or AI infrastructure
• Deep understanding of the low‑level details of the OpenAI, Google, and Anthropic LLM APIs, including tool calling, system prompt caching, etc.
• Familiarity with LLM application patterns, such as tool calling, retrieval‑augmented generation, memory and context management, multi‑step orchestration, and human‑in‑the‑loop systems
• Experience building and running machine learning systems in production, including data preparation, training pipelines, model evaluation, and drift detection
• Experience designing evaluation frameworks for LLM or agent quality and safety, including use of platforms such as Langfuse or LangSmith
• Familiarity with vector databases, prompt and context engineering, and experimentation tooling
• Experience working with sandbox environments such as Modal, and designing strict access‑control models to keep user data safe and encrypted
• Experience running services in Kubernetes‑based environments on GCP or equivalent cloud platforms
• Comfort working with Postgres and Redis in high‑throughput, low‑latency service contexts
• Contributions to open‑source TypeScript projects
• Ability to navigate ambiguity, make strong technical trade‑offs, and drive projects from concept to production
• Strong communication and collaboration skills, with the ability to partner effectively across engineering, product, and AI research teams

Workday Pay Transparency Statement (For EU Locations Only)

Listed below is the base salary range applicable to this position. Workday pay ranges (and the precise pay offered to the successful candidate) are based on a number of objective criteria such as relevant experience and skills, and educational qualifications, level of responsibility, demands of the role, work location and business need. As part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role‑specific commission/bonus, as well as annual refresh stock grants awarded by Workday Inc. Primary Location Base Pay Range: kr810,000 SEK – kr1,214,000 SEK (Sweden).

Our Approach to Flexible Work

With Flex Work, we’re combining the best of both worlds: in‑person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in‑office each week, we simply spend at least half (50 %) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you’ll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote “home office” roles also have the opportunity to come together in our offices for important moments that matter.

Equal Opportunity Statement

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records. Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans. At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email [e-mail].