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Applied AI Engineer Location: Remote (CA/ US / LATAM / Global Considered) Engagement Type: Contract, Contract-to-Hire, or Full-Time Industry: Enterprise AI / Applied AI Innovation About the Role We are looking for highly hands-on Applied AI Engineers who can build, ship, and scale AI solutions in real-world enterprise environments. This is not a research-focused role, we need builders who can rapidly prototype, develop proof-of-concepts, and deploy scalable AI applications that drive measurable business impact. The ideal candidate is deeply technical, proactive, and thrives in fast-moving, hackathon-style environments. You should be comfortable working across multiple LLM ecosystems (OpenAI, Anthropic, Gemini, etc.) and able to quickly adapt tools and models based on the business need rather than being tied to a single platform. This role is ideal for engineers who love solving practical problems, optimizing AI systems for performance and cost, and taking full ownership from idea to production. What You’ll Do Design, build, and deploy Applied AI solutions for enterprise-scale environments Develop proof-of-concepts and rapidly iterate on AI applications Work across multiple LLMs and AI APIs including OpenAI, Anthropic Claude, Gemini, and others Build scalable AI systems with a strong focus on performance, infrastructure, and cost optimization Create AI applications that can operate effectively within constrained environments and enterprise limitations Collaborate with engineering and business teams to identify practical AI use cases Evaluate and recommend the best models, frameworks, and architectures for each use case Contribute to AI strategy and innovation initiatives across the organization Take ownership of projects end-to-end and drive delivery independently What We’re Looking For Strong hands-on software engineering background with recent Applied AI experience Experience building and deploying production-grade AI applications Deep understanding of LLMs, AI agents, prompt engineering, and model integration Experience working with APIs such as OpenAI, Anthropic Claude, Gemini, or similar Ability to move quickly and thrive in fast-paced, experimental environments Strong understanding of scalability, infrastructure, and AI cost optimization Comfortable building within real-world enterprise constraints Excellent problem-solving skills and strong ownership mentality Strong communication and collaboration skills Preferred Experience Hackathon experience or history of rapidly building and shipping products Experience developing AI agents or autonomous workflows Background in cloud platforms such as AWS or GCP Experience with vector databases, RAG architectures, or AI orchestration frameworks Experience balancing AI performance with operational cost efficiency Startup, consulting, or high-growth environment experience Nice to Know Flexible engagement models available (Contract, Contract-to-Hire) Open to talent across the US, LATAM, and other global regions Opportunity to contribute to broader AI initiatives across multiple business units