AI Engineer

Asana Asana · Enterprise · Warsaw, Poland · Enterprise Technology

AI Engineer role focused on building scalable AI workflows for internal enterprise functions, integrating foundational LLMs with GTM stack, designing prompting strategies, orchestration logic, and tool integrations. Responsibilities include building AI data infrastructure (RAG, retrieval pipelines), designing AI interfaces, and leading the transition from POC to production. Requires 5+ years of experience in AI-driven systems and 1+ year with Generative AI (LLMs, RAG, prompt engineering).

What you'd actually do

  1. 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.
  2. Design prompting strategies, orchestration logic, and tool integrations that enable AI systems to retrieve data, reason over context, and take action across internal systems.
  3. Build AI data infrastructure, including retrieval pipelines and RAG systems, to ensure AI outputs are grounded in accurate product documentation and customer insights.
  4. Design and deploy intuitive AI interfaces - ranging from Slack apps to Chrome extensions - to bring AI directly into existing user workflows.
  5. Lead the transition from POC to production, rapidly prototyping AI pilots while ensuring underlying architectures are optimized for performance, security, and scale.

Skills

Required

  • Python
  • SQL
  • Generative AI
  • LLMs
  • RAG
  • prompt engineering
  • agent frameworks
  • LangChain
  • LlamaIndex
  • multi-step reasoning workflows
  • automation platforms
  • iPaaS platforms
  • n8n
  • Workato
  • Zapier

Nice to have

  • understanding of GTM motions
  • explaining complex automation logic and AI behavior to non-technical stakeholders
  • curiosity about AI tools and emerging technologies

What the JD emphasized

  • 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
  • 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

Other signals

  • building AI-driven or intelligent systems
  • hands-on experience working with Generative AI technologies
  • building AI-powered applications, agents, or LLM-powered automations
  • agent frameworks
  • multi-step reasoning workflows