AI/ML Engineer

• Design, build, and deploy AI-powered applications that solve real-world problems across healthcare, government, energy, and enterprise environments.
• Develop and productionize LLMs, AI agents, retrieval systems, and reasoning workflows that automate complex manual processes.
• Build scalable data pipelines and machine learning systems that support high-performance production applications.
• Define evaluation frameworks, metrics, and testing methodologies that ensure AI systems deliver measurable business outcomes.
• Optimize model performance, reliability, latency, and operational efficiency across deployed systems.
• Work directly with customers, government stakeholders, and enterprise partners to understand requirements and deliver impactful solutions.
• Translate research advances into practical production systems that solve customer problems at scale.
• Collaborate closely with engineers, researchers, product teams, and leadership on high-priority initiatives.
• Contribute across the full product lifecycle, from problem definition and system design through deployment and monitoring.
• Help shape technical standards and engineering practices within a rapidly growing AI organization.

Artificial Intelligence (AI), Artificial Intelligence (AI), Funding, Truck Driver, Fortune 500 Customers, Healthcare, Problem Solving Skills, Government Organizations, Production Systems, Government, * 3-10 years of software engineering, machine learning engineering, or applied AI experience.

• Strong Python programming skills with experience building and maintaining production applications.
• Proven experience deploying AI, LLM, RAG, or agent-based systems in production environments.
• Strong understanding of machine learning fundamentals and model evaluation methodologies.
• Experience with frameworks such as PyTorch, TensorFlow, or JAX.
• Demonstrated ability to connect technical work to measurable business or customer outcomes.
• Experience working cross-functionally with product, business, or customer stakeholders.
• Strong communication skills and ability to explain technical concepts clearly.
• Bachelor’s or Master’s degree in Computer Science or a related technical field.

Preferred

• Experience at high-growth AI startups or startup-like environments within larger organizations.
• Founding engineer, startup founder, or early-stage employee experience.
• Background at companies such as Glean, Harvey, Cognition, Runway, Cohere, Adept, Databricks, Perplexity, Hugging Face, Anyscale, Replit, Stripe, Airbnb, DoorDash, or similar organizations.
• Experience building AI agents, reasoning systems, retrieval architectures, or enterprise AI products.
• Familiarity with modern ML evaluation frameworks and experimentation methodologies.
• Experience working directly with enterprise customers or government organizations.
• Strong startup mindset with the ability to move quickly and operate with high ownership.
• Interest in applying AI to large-scale societal and operational challenges.

• Base salary: $200,000-$300,000.
• Competitive equity package.
• Relocation assistance available.
• Hybrid work environment with offices in San Francisco and New York.
• H-1B transfer sponsorship and green card support available.
• Opportunity to work on AI deployments with governments, healthcare systems, and Fortune 500 enterprises.
• Significant ownership and visibility within a rapidly growing organization.
• Direct collaboration with experienced founders, researchers, and engineers.
• Exposure to cutting-edge developments in LLMs, AI agents, reasoning systems, and applied machine learning.
• Join a company experiencing exceptional growth with substantial opportunities for advancement and impact.

We’re representing one of the fastest-growing applied AI companies in the market, building and deploying AI systems that solve critical problems for governments, healthcare organizations, energy companies, and Fortune 500 enterprises. Founded in 2024, the company has already grown to approximately 140 employees, surpassed $20 million in revenue, and raised a $55 million Series A from world-class investors and operators.

Led by founders and investors with backgrounds spanning some of the most influential technology companies, the team focuses on turning cutting-edge AI research into production-ready systems that create measurable real-world impact. This is an opportunity to join a high-growth company at the forefront of deploying AI at national and enterprise scale.