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Founding AI Engineer (LLM/Agent-Based Automation) - Hybrid (SF)

Goliath Partners • San Francisco Bay Area
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AI Summary

Build and scale the core AI architecture for an enterprise automation platform, focusing on autonomous multi-step workflows and agent-based systems. Own technical direction, debugging, and system improvements while integrating cutting-edge LLM research. Join a venture-backed startup to shape product and engineering from the ground up with direct founder collaboration.

Key Highlights
Founding role in a venture-backed AI company developing enterprise automation platform
Ownership of core AI architecture, agent workflows, and system reliability
Direct access to founders and influence over technical direction and hiring
Key Responsibilities
Develop core architecture for autonomous, multi-step AI workflows and agent-based systems
Build systems enabling agents to interact with external software, retain context, and execute complex tasks
Design and implement testing/evaluation frameworks for reliability, accuracy, and performance
Determine optimal use of prompting, retrieval, fine-tuning, and underlying models
Rapidly prototype and integrate new AI research into production systems
Investigate production failures and implement lasting system improvements
Influence technical direction, engineering standards, and future hiring
Technical Skills Required
Large Language Models (LLMs) Agent-Based Systems Production Software Engineering
Benefits & Perks
Up to $250,000 base salary + early-stage equity
Medical, dental, and vision coverage
401(k) plan

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 $250K 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.


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