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

Location: Palo Alto, CA

Employment Type: Full-time

On-site: 5 days/week in-office

About the Role

Our client, an AI company focused on dramatically accelerating semiconductor design, is seeking a world-class ML leader to architect and own their entire AI roadmap. They are solving the critical problem of exponentially increasing chip design costs by providing an integrated AI agent and code editor workflow to make silicon engineers 4x more productive. This is a foundational role where you will define the technical trajectory across the platform, including code generation, reinforcement learning, and layout optimization.

This position requires a deep, hands-on expert who can lead a growing ML team while actively contributing to the technical work.

Responsibilities

A DevSecOps Engineer is responsible for integrating security practices into the entire software development lifecycle, ensuring that applications, infrastructure, and operations are secure by design. This role blends development, operations, and security expertise to maintain high-availability systems while proactively managing security risks and compliance requirements.

Responsibilities:

• Security Integration in CI/CD: Embed security checks, vulnerability scanning, and automated compliance tests into CI/CD pipelines.
• Infrastructure Security: Implement secure cloud and on-premises infrastructure using best practices for access control, encryption, and network segmentation.
• Container & Kubernetes Security: Manage and harden containerized environments, including image scanning, runtime protection, and pod security policies.
• Monitoring & Incident Response: Use observability tools to monitor systems for security threats, respond to incidents, and implement continuous improvements.
• Collaboration & Education: Work closely with developers, SREs, and QA teams to ensure security-first development practices, provide guidance on secure coding, and conduct threat modeling.
• Compliance & Governance: Ensure systems and processes comply with standards like ISO27001, SOC 2, GDPR, NIST, and maintain audit readiness.

Requirements

Location: New York, NY (On-site) or Remote (Pacific Time hours)

Employment Type: Full-time

About the Role

Our client is a fast-growing tech startup building the future of APIs, with over $35 million in funding from top-tier investors. They work directly with industry leaders like OpenAI, Anthropic, and Cloudflare. As a Forward Deployed Software Engineer, you'll be an Applied AI Engineer who builds and deepens the technical relationship with these critical users. This role is a dynamic mix of engineering, product, and deployment, focused on solving high-impact problems alongside the people shaping the future of AI.

To thrive here, you’ll need strong judgment, broad technical fluency, and a passion for developer experience.

What You'll Do

About the Role

Our client is a global company that helps some of the world's most important institutions use data to solve their most urgent problems. As a Forward Deployed Software Engineer, you’ll work directly with customers to understand their challenges and use data to design and implement impactful solutions. This role is a unique opportunity to gain rare insight into and contribute to industries like national security, healthcare, and energy.

Your responsibilities will be similar to those of a startup CTO. You’ll be part of a small team and own the end-to-end execution of high-stakes projects, from discussing architecture with fellow engineers to wrangling massive-scale data and speaking with customer executives.

What You'll Do

• Work directly with customers to understand their problems and design solutions using data.
• Own the end-to-end execution of high-stakes projects.
• Span a variety of tasks, including architecture discussions, data wrangling, custom coding, and strategic planning.
• Help organizations use their data to drive real-world impact.

Requirements

Applied AI Engineer

Location: NYC Employment Type: Full-time On-site: 5 days/week in-office

About the Role

Our client, an AI-first company backed by top-tier investors, is looking for an Applied AI Engineer to join their team. They are building a platform that applies AI to every step of bringing new therapies to market, ensuring patients get life-changing treatments as quickly and affordably as possible. This role is a high-impact opportunity to work on real-world production use cases of LLMs and other ML techniques to solve complex business problems.

This is a demanding role with a high level of autonomy. The client is looking for someone who can "act like an owner" and take end-to-end responsibility for projects, from initial definition and design through to launch and success.

What You'll Do