Artificial Intelligence Engineer

Goliath-Partners; San Francisco (CA); Hybrid; USD 210,000 - 350,000; Full time

Benefits offered by this job

Equity

Health, dental, and vision coverage

401(k)

Visa sponsorship

Job summary

Goliath-Partners in San Francisco is seeking a Founding AI Engineer to own core AI architecture for autonomous, multi-step workflows. This hybrid SF role offers direct access to founders and meaningful technical ownership to shape a fresh AI-powered enterprise automation platform.

You will build production-ready AI systems, test novel approaches, and influence engineering standards as the team scales from an early stage. Join a hands-on environment with strong technical ownership.

Qualifications

• 2+ years of software engineering, ML, or applied AI experience
• Experience delivering an LLM powered or agent based product to real users
• Strong understanding of model evaluation, tool calling, retrieval, prompting, and orchestration
• Able to build reliable production software around probabilistic AI systems
• Comfortable owning loosely defined problems from initial idea through deployment
• Closely follows developments in LLMs and agentic AI
• Strong computer science or engineering fundamentals

Responsibilities

• Develop the core architecture behind autonomous, multi step AI workflows
• Build systems that allow agents to use external software, retain context, and complete complex tasks
• Create testing and evaluation frameworks for reliability, accuracy, and performance
• Determine when to use prompting, retrieval, fine tuning, or different underlying models
• Rapidly test new research and integrate the strongest approaches into the product
• Investigate production failures and turn them into lasting system improvements
• Influence technical direction, engineering standards, and future hiring

Skills

Software engineering

Machine learning

AI systems

LLM / Agent-based product

Model evaluation

Production reliability

CS fundamentals

Job description

Founding AI Engineer, SF (Hybrid)

A venture backed AI company is looking for an early engineering hire to help develop the core intelligence powering its enterprise automation platform.

This is a highly hands on position for someone who has already moved LLM or agent based technology beyond the prototype stage. You will work closely with the founders, take ownership of major technical decisions, and build AI systems that customers rely on for complex, high value business processes.

The Role

• Develop the core architecture behind autonomous, multi step AI workflows
• Build systems that allow agents to use external software, retain context, and complete complex tasks
• Create testing and evaluation frameworks for reliability, accuracy, and performance
• Determine when to use prompting, retrieval, fine tuning, or different underlying models
• Rapidly test new research and integrate the strongest approaches into the product
• Investigate production failures and turn them into lasting system improvements
• Influence technical direction, engineering standards, and future hiring

The Ideal Background

• 2+ years of software engineering, machine learning, or applied AI experience
• Experience delivering an LLM powered or agent based product to real users
• Strong understanding of model evaluation, tool calling, retrieval, prompting, and orchestration
• Able to build reliable production software around probabilistic AI systems
• Comfortable owning loosely defined problems from initial idea through deployment
• Closely follows developments in LLMs and agentic AI
• Strong computer science or engineering fundamentals

Package

• Up to $350K base salary + Early stage equity
• Medical, dental, and vision coverage
• 401(k)
• Visa sponsorship available

This is a strong opportunity for an ambitious AI engineer who wants meaningful technical ownership, direct access to the founders, and the chance to shape a product and engineering organization from an early stage.