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# AI/ML Engineer

- **Company:** Recruiting from Scratch
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $200,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software Applications, Automated Storage and Retrieval Systems, Python (Programming Language), Machine Learning, Tensorflow, Perplexity AI, Software Engineering, Strategies of Testing, Pytorch, Retrieval-Augmented Generation, Large Language Models, Model Validation, Agentic-AI, Stripe, Information Technology, Low Latency, HuggingFace, Machine Learning Operations, Data Pipelines, Databricks
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ai-ml-engineer-san-francisco-ca--4b40e59f-a4b8-4e88-a731-3171bd1b2483

## About the Role

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.

## Description

* 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.