About The Position

A Senior AI Engineer & AI Enablement Consultant responsible for designing, building, and deploying production-grade AI applications across web, mobile, and desktop platforms, with full ownership of the end-to-end lifecycle from concept and architecture through to cloud deployment and scaling. The role involves leveraging modern AI technologies; including large language models, multimodal systems, semantic search, and agent-based workflows to deliver high-impact business solutions, while also developing full-stack applications using technologies such as TypeScript, Python, React, and cloud-native infrastructure on platforms like Google Cloud. This position requires deep expertise in integrating AI into real-world products, optimizing performance and cost, and building automation pipelines for tasks such as content generation and business process workflows. Additionally, the role serves as a strategic advisor on AI enablement, guiding stakeholders on model selection, system design, and implementation of scalable, secure, and performant AI solutions that translate advanced capabilities into measurable business outcomes.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)
  • 10+ years of experience in software engineering, with a strong recent focus in AI/ML development

Nice To Haves

  • Hands-on experience building and deploying production AI applications
  • Expertise in large language models (OpenAI, Claude, Gemini, etc.)
  • Experience with RAG, prompt engineering, and agent workflows
  • Strong full-stack engineering experience across modern frameworks
  • Experience with cloud platforms and building scalable architectures
  • Experience with agentic development frameworks and autonomous AI systems
  • Background in both engineering and product development
  • Experience integrating AI into consumer applications or enterprise systems
  • Familiarity with speech, vision, and generative media pipelines

Responsibilities

  • Design, build, and deploy production-grade AI applications across web, mobile, and desktop platforms, owning the full lifecycle from concept through to scalable cloud deployment
  • Develop and implement solutions leveraging large language models (LLMs), and multimodal AI to solve real-world business problems
  • Architect and deploy agent-based AI systems and autonomous workflows to automate business processes and enhance decision-making
  • Build and maintain full-stack applications using modern frameworks (e.g., React, Node.js, Python) and integrate AI capabilities into enterprise and consumer-facing systems
  • Design and optimize backend systems, APIs, and data pipelines to support performant, reliable, and cost-efficient AI solutions
  • Collaborate with cross-functional stakeholders to translate business needs into scalable AI solutions with measurable outcomes
  • Provide technical leadership and guidance on AI architecture, model selection, prompt design, and system optimization
  • Rapidly prototype and iterate on innovative AI-driven products, accelerating time-to-value for new capabilities
  • Ensure solutions meet standards for performance, scalability, security, and responsible AI practices
  • Stay current with emerging AI technologies and continuously evaluate their applicability to new and existing business challenges

Benefits

  • Flexible workplace arrangements
  • Work-life balance
  • Donation matching
  • Volunteer opportunities
  • Tuition reimbursement
  • Access to professional development resources
  • 401k matching
  • Employee Stock Purchase Plan
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