Applied AI Engineer - Enterprise Solutions

Role overview

A customer-facing applied AI engineering role focused on designing and delivering generative AI and machine learning solutions for enterprise clients. The position bridges cutting-edge research with practical business outcomes, helping organizations build specialized AI systems that leverage their proprietary data for measurable impact.

Responsibilities

• Partner with enterprise customers to scope use cases, explore data, and develop and deploy Gen AI and ML solutions end to end.
• Build applied AI systems using techniques such as retrieval-augmented generation, fine-tuning pipelines, prompt engineering, and agentic workflows.
• Design augmented datasets and evaluation workflows that ensure model reliability, transparency, and stakeholder trust.
• Manage relationships with customer leadership and stakeholders across project lifecycles to drive successful deployments.
• Collaborate with pre-sales and product teams to map customer needs to existing capabilities and surface roadmap gaps.
• Standardize recurring solutions into reusable recipes, contribute to internal tooling, and lead enablement workshops for customer teams.

Requirements

• Bachelor's degree in a quantitative field such as Computer Science, Engineering, Mathematics, or Statistics, or equivalent experience.
• Three or more years of customer-facing experience designing and implementing AI/ML solutions.
• Strong proficiency in Python with solid software engineering fundamentals, including modular design, testing, profiling, and packaging.
• Hands-on experience with modern Python tooling for type validation, typed data modeling, type-safe systems, API frameworks, and ML orchestration.
• Broad expertise across the applied AI stack, spanning classical ML libraries, deep learning frameworks, foundation-model ecosystems, vector and embedding tooling, data processing frameworks, RAG tooling, and LLM orchestration and agent-authoring frameworks.
• Experience leading strategic, customer-facing initiatives and collaborating across product, engineering, and business stakeholders.

Nice to have

• Strong presentation skills with the ability to communicate clearly to both technical and executive audiences.
• Comfort working in a fast-paced environment and balancing priorities across multiple concurrent projects.

Benefits and work setup

• Hybrid work model based in San Francisco, CA or New York, NY.
• Equity compensation through employee stock options.
• Annual travel up to 25% for customer engagements.
• Salary range of $175,000 to $300,000 USD, depending on location and experience.