AI Engineer - Agent Team

Further AI Inc.

Job Overview

Location

San Francisco

Job Type

Full-time

Full Job Description

📋 Description

• Join FurtherAI, a rapidly growing company at the forefront of revolutionizing the trillion-dollar insurance industry with next-generation AI agents. We have secured over $30 million in funding from prestigious investors including Andreessen Horowitz, YC, Nexus, South Park Commons, and Converge. Our revenue has experienced a tenfold increase this year alone, and we have successfully partnered with some of the largest names in insurance, including a recent deal with a top 5 global insurance company. Our team is a unique blend of deep AI expertise and seasoned company-building experience, creating an environment ripe for innovation and impact.
• As an AI Engineer on our agent team, you will play a pivotal role in shaping both our product and the future of AI in insurance. This is a unique opportunity to work on cutting-edge agentic techniques and build the foundational systems that enable these agents to operate reliably in production environments. You will be instrumental in developing and deploying sophisticated AI solutions that address complex challenges within the insurance sector, driving efficiency, accuracy, and transformative change.
• Your primary responsibilities will involve designing, implementing, and refining end-to-end evaluation frameworks. These frameworks will be crucial for rigorously measuring and continuously improving the performance of our AI agents. You will delve into the intricacies of agentic AI, experimenting with advanced techniques such as multi-agent systems, reasoning-from-feedback (RFT), and other novel approaches to enhance agent capabilities and decision-making processes.
• A significant part of your role will be dedicated to the practical engineering of AI agent systems. This includes building lightweight yet robust tools, servers, and orchestration layers. For instance, you will develop and manage MCP servers, ensuring that our AI agents can operate with high reliability and scalability in production settings. This hands-on engineering work is critical for translating cutting-edge AI research into tangible, production-ready solutions.
• You will be expected to maintain a keen awareness of the latest advancements in Large Language Models (LLMs) and AI agents. This involves actively monitoring emerging research, industry blogs, and community discussions. The insights gained will be directly applied to proposing and implementing new ideas within our production experiments, ensuring FurtherAI remains at the vanguard of AI innovation.
• This role is distinct from model training; instead, it focuses on the sophisticated orchestration and reasoning systems that leverage existing LLMs. You will be building the intelligence layer that enables these models to perform complex tasks, akin to developing Claude-Code on top of Claude-Model. Your work will empower our agents to understand context, reason effectively, and execute tasks with precision and autonomy.
• We are seeking individuals who possess an exceptional ability to interact with LLMs, applying principles of Occam's razor to craft highly effective prompts. A strong command of Python is essential for developing and deploying these complex systems. You should have a minimum of 3 years of experience building in the ML/AI domain, with a proven track record of delivering impactful solutions.
• Excellent communication skills, both written and verbal, are paramount. You will need to articulate complex technical concepts clearly to both technical and non-technical stakeholders. A background in B2B SaaS and experience in 0-1 product development are considered significant advantages, though not strictly mandatory.
• Above all, we are looking for individuals with an extraordinary drive, unwavering grit, and a profound sense of ownership. If you demonstrate these qualities, other requirements will be viewed as secondary. At FurtherAI, we foster an environment that demands high performance and rewards it accordingly. We are not seeking individuals looking for a passive job; we are seeking builders, innovators, and future leaders who are passionate about creating transformative technology and are eager to contribute to a company experiencing rocketship growth. If you thrive in a fast-paced, high-expectation environment with outsized rewards, FurtherAI is the place for you.

🎯 Requirements

• Exceptional ability in prompt engineering and interacting with Large Language Models (LLMs), applying principles of simplicity and effectiveness (Occam's razor).
• Strong proficiency in Python for developing and deploying complex AI systems.
• Minimum of 3 years of hands-on experience building and deploying solutions in the Machine Learning (ML) or Artificial Intelligence (AI) domain.
• Excellent written and verbal communication skills, with the ability to clearly articulate technical concepts to diverse audiences.
• Bonus: Background in B2B SaaS and experience in 0-1 product development.
• Above all: demonstrated drive, grit, and a strong sense of ownership.

🏖️ Benefits

• Fully covered, best-in-class health, dental, and vision insurance plans.
• Competitive salary coupled with meaningful stock options and a company 401(k) plan.
• Unlimited Paid Time Off (PTO) to support work-life balance.
• Outstanding in-office culture and amenities located in the heart of San Francisco.
• Complimentary lunch and dinner provided onsite.
• Regular team events, including happy hours and off-site retreats.
• Pre-tax commuter benefits to ease your daily commute.

Skills & Technologies

Python

Data Science

Onsite

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Further AI Inc.

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About Further AI Inc.

Further AI builds AI-driven software for automotive finance and insurance providers, automating F&I menu presentation, compliance checks, and lender negotiations. The platform ingests dealership data to generate real-time product recommendations and digital contracts, aiming to reduce transaction times and improve profit per unit. Founded in 2022, the company serves franchised dealerships and finance institutions across North America.

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