AI Engineer

Job Description

We're looking for a AI Engineer. The Enterprise AI team is a new, agile group of builders dedicated to empowering Asana’s internal functions through the design and implementation of scalable AI workflows. We partner cross-functionally with business and engineering teams, maintaining tight feedback loops with our users to ensure our solutions directly enhance critical GTM processes. By automating high-value business logic, we serve as a critical pillar in driving Asana’s broader goal of building the Agentic Enterprise Foundations. This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements. We offer a Contract of Employment (UoP) for our employees in Poland. What you’ll achieve Own the AI integration layer, architecting the connective tissue between foundational LLMs and our core GTM stack (e.g., Salesforce, Databricks) to automate high-value business logic. Design prompting strategies, orchestration logic, and tool integrations that enable AI systems to retrieve data, reason over context, and take action across internal systems. Build AI data infrastructure, including retrieval pipelines and RAG systems, to ensure AI outputs are grounded in accurate product documentation and customer insights. Design and deploy intuitive AI interfaces - ranging from Slack apps to Chrome extensions - to bring AI directly into existing user workflows. Lead the transition from POC to production, rapidly prototyping AI pilots while ensuring underlying architectures are optimized for performance, security, and scale. Partner with GTM and RevOps stakeholders to identify process friction and translate business requirements into technical AI solutions that drive revenue. About you 5+ years of experience designing, building, and deploying AI-driven or intelligent systems in enterprise environments. At least 1+ year of hands-on experience working with Generative AI technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and prompt engineering. Strong proficiency in Python and SQL, with the ability to confidently process data, build integrations, and extend automation platforms. Proven experience building AI-powered applications, agents, or LLM-powered automations that deliver measurable business value beyond basic chatbots. Hands-on expertise with agent frameworks (e.g., LangChain, LlamaIndex) and designing multi-step reasoning workflows. <l

Required Skills