Senior AI Engineer (Product Focus)

Full-time | Remote

Location: USA

We are a technology company focused on empowering teams by combining cutting-edge software with expert insights. We are seeking a highly skilled Senior AI Engineer to play a key role in integrating and optimizing Large Language Models (LLMs) to deliver transformative value across our platform. This is a highly collaborative, product-focused role operating within a remote-first environment.

You will own the technical execution and continuous improvement of all LLM-powered features across our product suite. Your work will involve deeply integrating AI capabilities into our backend systems to enhance user experience and deliver intelligent capabilities.

What You'll Own:

Member of Technical Staff - Model Engineer

Full-time | On-site

Location: San Francisco

We are seeking a founding Member of Technical Staff to join our core AI team and drive the modernization of a foundational global industry. This role offers the chance to work directly with the company's founders to define the technical direction and build AI from the ground up, combining hardware, software, and operations.

As a Model Engineer, you will be deeply involved in the entire lifecycle of model development, from research and data preparation to production deployment in real-world systems. You will play a crucial role in building the AI capabilities that enable a vertically integrated infrastructure platform.

What you'll do:

Full Stack Engineer (Founding Focus)

Full-time | On-site

Location: San Francisco, CA

We are a rapidly growing, founder-led AI platform transforming how key industries interact with critical government contract opportunities. We are seeking a highly motivated Full Stack Engineer to be the Founding Engineer responsible for building the core data pipeline and user-facing experience of our product. This role is ideal for an ambitious individual passionate about applying AI to solve mission-critical national security challenges.

This is a pivotal, high-impact role where you will own the end-to-end delivery of essential product features. You will be responsible for turning a massive volume of complex government data into actionable intelligence for our users.

Key Responsibilities:

Founding Engineer, Full Stack (Product-Minded)

Full-time | On-site

Location: San Francisco

We are building a unified platform that streamlines the use of large language models (LLMs) to build and deploy applications at scale. We are seeking a Founding Full Stack Engineer to own the entire application layer, driving developer productivity by providing a single pane of glass for data collection, model evaluation, training, and deployment.

As a Founding Engineer, you will be a product-minded generalist responsible for the entire feature lifecycle. You'll primarily focus on the backend systems that interface with our core machine learning (ML) stack, ensuring a scalable and reliable platform for our customers.

What You'll Do:

Staff Software Engineer, Machine Learning (LLM Backend)

Location: Burlingame, CA (On-site, 4 days/week)

Employment Type: Full-time

Salary Range: $145K - $250K

We are a rapidly growing AI technology company transforming mission-critical processes in the healthcare industry. We are seeking a Staff Software Engineer to architect and scale the secure, reliable backend systems that power our advanced Large Language Model (LLM) applications. This role requires expertise at the intersection of applied AI, distributed systems, and security/compliance in a regulated domain.

You will be responsible for pushing LLMs beyond demos into mission-critical, cost-efficient, and secure production healthcare workflows. This is a technical leadership role driving the end-to-end delivery of core ML/LLM systems.

Key Responsibilities:

Staff Software Engineer, Machine Learning

Location: Burlingame, CA (On-site, 4 days a week)

Compensation: $145,000 -$250,000 (Base Salary) + Equity Options

We are a rapidly growing AI company applying Large Language Models (LLMs) to transform a critical, high-impact domain within the healthcare industry. We're looking for a highly skilled and experienced Staff Software Engineer, Machine Learning to drive the architecture and scaling of our LLM backend systems.

This role is ideal for an engineer who thrives at the intersection of backend architecture and applied AI, designing the APIs, data pipelines, and infrastructure that make LLMs reliable, secure, and cost-efficient in production. Join us and help push LLMs beyond demos into mission-critical healthcare workflows.

Job Description 🖥️

As a Staff Software Engineer, you’ll be a technical leader responsible for the end-to-end delivery of our core LLM backend projects, setting the engineering best practices, and mentoring peers in system design.

Key Responsibilities:

Senior Data/AI/ML Software Engineer

Location: Hybrid (San Francisco Bay Area) or Remote (US Only for exceptional candidates)

Compensation: $150,000 - $300,000 (Varies based on level and location) + Equity

We are a pioneering Clinical Data Intelligence platform that leverages cutting-edge AI, Machine Reading, and Knowledge Graph technology to automate cognitive tasks involving clinical data. Our solutions directly empower clinicians, researchers, and care coordinators to improve efficiency, reduce frustration, and enhance patient care. We are seeking a Senior Data/AI/ML Software Engineer to build and scale the core components of our mission-critical platform.

You'll be responsible for designing, implementing, and improving data-intensive systems that automate the extraction and synthesis of health information. Your work directly impacts applications used by clinicians every day.

What you'll do:

Founding Full Stack Software Engineer (Backend/AI Focus)

Location: Los Angeles, CA (100% On-site)

Compensation: $170,000 - $225,000 (Base Salary) + Significant Equity

We are an early-stage, YC-backed company building fully autonomous AI agents powered by in-house models that can find, exploit, and patch complex vulnerabilities in web applications at massive scale. We are seeking a passionate Founding Full Stack Software Engineer to build and scale the core systems. This is a high-impact role with a focus on backend architecture and AI agent systems, directly addressing the speed and scale challenges posed by AI-generated code.

As a Founding Engineer, you will have significant responsibility for designing, developing, and maintaining our scalable, high-performance web applications and cutting-edge AI Agent systems. Your focus will be on the backend and AI components.

Key Responsibilities:

Location: San Francisco, CA

Employment Type: Full-time

Work Arrangement: On-site (minimum 3 days per week)

About the Role

Our client, a venture-backed company aiming to revolutionize the networking industry by creating a vertically integrated infrastructure provider, is seeking a Model Engineer to join their founding core AI team. This is a high-impact role focused on transforming a market with hundreds of billions in revenue by applying cutting-edge machine learning to internet infrastructure.

You will be responsible for the full lifecycle of model development, from data to production deployment, and will directly collaborate with founders to define technical vision and team culture.

What You'll Do

Founding ML/Data Science Engineer

Location: San Francisco, CA (Hybrid) Employment Type: Full-time

About the Role

Our client is building the revenue execution system for B2B enterprises, tackling the underpenetrated space of post-sales enablement. They are combining LLMs with structured customer data to automate account scoring, cohort segmentation, and expansion playbooks. As a Founding ML/Data Science Engineer, you'll work directly with the founders to architect, build, and scale this platform from 0 to 1, with full ownership of core features.

This role requires a hybrid engineer who can both architect production ML systems and make sophisticated modeling decisions. You'll need to be equally comfortable with classical ML and cutting-edge language models.

Core Responsibilities