AI Engineer

Berkley Hunt; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

A fast-growing technology company is seeking an AI Engineer in San Francisco to design, build, and deploy impactful AI features. The role requires expertise in NLP, MLOps, and building scalable machine learning systems. Candidates should have 5+ years of experience and strong problem-solving abilities. The position offers an engaging environment to work with cross-functional teams and mentor others in AI concepts and practices.

Qualifications

• 5+ years of professional experience developing AI/ML solutions in production environments.
• Strong expertise in NLP, especially with transformer-based models (BERT, GPT, etc.).
• Experience taking ML features from concept to production.

Responsibilities

• Develop and fine-tune large language models (LLMs) for various engineering texts.
• Implement end-to-end ML features from requirements to deployment.
• Collaborate with cross-functional teams for seamless AI integration.
• Design reproducible training pipelines and optimize cloud infrastructure.

Skills

NLP expertise

MLOps

Full-stack development

Cross-functional collaboration

Independent problem-solving

Product thinking

Job description

**DUE TO FEDERAL REGULATIONS, CANDIDATES MUST BE US CITIZENS**

Berkley Hunt has partnered with a fast-growing, Series B technology company that is redefining manufacturing engineering through cutting-edge AI solutions. As the demand for intelligent automation in manufacturing accelerates, they are tackling the complex challenges of deploying AI in real-world industrial systems - ranging from large language models for classification to optimizing cloud infrastructure for production-scale deployment. To drive this mission forward, they are seeking a product-focused AI Engineer to design, build, and deploy high-impact AI features that fundamentally transform the way engineers work.

About the Role

• As an AI Engineer, you will work closely with cross-functional teams to shape the AI features that power the platform.
• You will have ownership over developing and deploying large language models (LLMs), collaborating with engineers to integrate AI capabilities into the platform’s infrastructure, and optimizing performance at scale.
• This role requires a combination of strong expertise in NLP, MLOps, and a solid understanding of building scalable, production-ready machine learning systems in a cloud environment.

Responsibilities

• Develop and fine-tune large language models (LLMs) for classifying aerospace engineering text, categorizing, and linking requirements across the platform
• Implement end-to-end ML features from product requirements to production deployment, including backend infrastructure
• Collaborate cross-functionally with app engineers, infrastructure, and security engineers to integrate AI capabilities seamlessly into our platform
• Design and maintain reproducible training pipelines ensuring model consistency across different environments
• Optimize model training processes, inference performance, and associated cloud infrastructure costs
• Establish MLOps best practices for versioning, monitoring, and maintaining AI systems in production
• Mentor team members on AI concepts and best practices to build organizational knowledge
• 5+ years of professional experience developing AI/ML solutions in production environments
• Strong expertise in NLP, particularly with transformer-based models (BERT, GPT, etc.)
• Experience taking ML features from concept to production without extensive specialist support
• Full-stack development capabilities to build complete AI features
• Cross-functional collaboration skills and the ability to communicate complex AI concepts to non-specialists
• Independent problem-solving abilities and resourcefulness when tackling novel AI challenges
• Product thinking – ability to translate business requirements into pragmatic AI solutions