Fullstack Engineer (Python, React)

Location: San Francisco, CA

Employment Type: Full-time

On-site: 9-9-6 in-office schedule

About the Role

Our client is an intensely ambitious, hyper-growth AI startup that is completely rebuilding the foundation of the world’s largest industry: Insurance Claims Processing. They achieved six-figure ARR in just three months and raised a highly oversubscribed $3.8 million seed round from top-tier investors. Their team comes from elite global AI labs (Oxford, Cambridge, ETH Zurich).

They are seeking a Fullstack Engineer with a strong backend focus and clear signals of technical excellence. This role is defined by total ownership—you will be expected to ship features end-to-end and solve every problem, from core infrastructure design to direct client integrations for AI use cases.

What You'll Do

Location: San Francisco, CA (Near Salesforce Tower) Employment Type: Full-time On-site: 5 days a week in-person

About the Role

Our client is an AI startup building foam, a cutting-edge tool designed to be the highest-signal solution for solving software bugs. They've raised $2.4M from notable investors and are focused on making engineering jobs more engaging by automating the debugging process.

They are seeking a Full Stack Product Engineer—a generalist who is comfortable wearing all the hats. In addition to classical full-stack work (from CSS to the database level), you will be expected to increase the general intelligence of the platform by designing and implementing cutting-edge AI product features.

What You'll Do

Location: San Francisco, CA (On-site) or Bangalore, India

Employment Type: Full-time

About the Role

Our client is an innovative AI startup with $6.88 million in funding, dedicated to helping people land their dream jobs with tools like AI Interview Copilot and Mock Interviews. They are seeking a Founding Fullstack Engineer to build their next generation of consumer and business-facing products. This is a high-autonomy role for a strong builder who is comfortable writing scalable business logic on the backend and driving elegant frontend solutions, with a strong emphasis on leveraging AI, LLMs, and agent systems.

This role demands a high degree of independent technical decision-making and ownership across the entire product lifecycle.

What You'll Do

Location: NYC (SoHo)

Employment Type: Full-time

On-site: 5 days/week in-person

About the Role

Our client is at the forefront of integrating artificial intelligence into enterprise operations, reshaping how humans and machines collaborate. Their flagship products are Olympus (an AI-native analytics platform) and Athena (an artificial employee/AI agent).

As a Forward Deployed Engineer (FDE), you'll operate at the intersection of cutting-edge AI technology and real-world enterprise challenges. This role is the cornerstone of their product strategy, as you will be the first engineer to implement a new product feature in close collaboration with a single customer ("engineering at the edge"). You will gain unique insights into vital global institutions and industries.

Core Responsibilities

Location: New York City (Near Grand Central Station)

Employment Type: Full-time

Work Arrangement: Hybrid (3-5 days per week in-person)

About the Role

Our client, a rapidly growing AI startup with a mission to reinvent the $80B+ market research industry, is looking for a Member of Technical Staff (ML/AI Focus). The client's platform acts as an AI qualitative researcher, transforming customer interviews into quantitative insights. You'll work closely with a founding team of former Lyft and Ro executives to pioneer the intersection of AI and user research.

This is a foundational role where you will architect the core AI infrastructure and be critical to their mission of merging qualitative and quantitative research.

What You'll Own

In your first year, you will:

• Own the development of synthetic user capabilities.
• Design scalable AI pipelines to handle thousands of user interviews.
• Explore and execute model fine-tuning opportunities for interview analysis and insight generation.
• Be responsible for building cutting-edge AI systems that power the platform's core differentiator.

Requirements

Location: New York, NY (Flatiron District)

Employment Type: Full-time

On-site: 5 days/week in-person (Non-negotiable)

About the Role

Our client is a high-growth, venture-backed defense tech company working at the cutting edge of signal processing, machine learning, and embedded systems. As a Machine Learning Infra Engineer, you will design and build core infrastructure from scratch to handle petabytes of radio spectrum data. This is a high-ownership role for an experienced engineer who has strong opinions on tooling best practices and can make informed, future-proof decisions about architecture.

This team operates with a high bar for talent, a culture of high growth and high ownership, and requires an in-person presence to foster collaboration.

What You'll Do

Location: New York City (Flatiron) Employment Type: Full-time On-site: In-person in NYC

About the Role

Our client, an AI company building a collaborative workspace for biopharma's commercial and clinical teams, is seeking a Head of Engineering to join them at the founding executive level. This is a high-leverage role where you will be responsible for setting the technical vision, driving the product roadmap, and building a world-class engineering team and culture from the ground up.

You will be the "cross-functional glue," aligning engineering, product, and business goals to ensure both rapid short-term traction and long-term vision.

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

Location: San Francisco Bay Area

Employment Type: Full-time

Work Arrangement: Hybrid

About the Role

Our client is building the first browser-native AI agents for financial advisory. Their agents can see what's on-screen, understand context, and perform compliant actions and multi-step workflows across any tool without APIs. They are a VC-backed startup with millions in funding and support from leading fintech investors.

They are seeking a Founding Fullstack Engineer to work closely with the CTO, CPO, and design team to deliver core product features and evolve their AI agent platform. This role offers early ownership, rapid shipping, and direct influence on the company's technical direction.

What You'll Do

• Cover the full stack, including front-end web applications and back-end services.
• Develop core features for browser automation and enterprise integrations.
• Evolve and integrate AI-driven workflows into the platform.
• Own projects from conception to deployment in a high-autonomy, fast-paced environment.

Requirements

Location: Los Angeles, CA (Santa Monica)

Employment Type: Full-time

On-site: 5 days/week in-person

About the Role

Our client is building fully autonomous AI agents that can find, exploit, and patch complex vulnerabilities in web applications at massive scale, moving at the speed of AI-generated code. As a Founding Full-Stack Software Engineer (with a strong focus on backend and AI), you will be crucial in designing and developing their core agent systems and scalable web applications. You will be joining an early-stage startup with a deep technical focus on the intersection of Cybersecurity and AI.

Key Responsibilities

• Design and develop modular, reusable, and maintainable features primarily using Python.
• Design and create RESTful APIs in Python specifically to power AI Agents.
• Build Agentic AI systems and custom tools/protocols for cybersecurity applications.
• Design efficient PostgreSQL database systems and optimize backend services for performance and scalability.
• Build and maintain backend systems using technologies like Docker and Kubernetes, and diagnose/optimize code bottlenecks.

Requirements