AI Engineer

About This Role

Key ResponsibilitiesAI-extracted

• 1
  Own the AI integration layer, architecting the connective tissue between foundational LLMs and the core GTM stack
• 2
  Design prompting strategies, orchestration logic, and tool integrations to 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 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

RequirementsAI-extracted

• 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 and designing multi-step reasoning workflows

Perks & BenefitsAI-extracted