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

Our client is looking to hire a Founding AI Engineer to build the core of their AI-powered hiring platform. Their tools help companies hire top tech talent by detecting and preventing AI-assisted fraud, while accurately measuring a candidate's genuine skills. You'll be on the front lines of this fight, architecting the systems that analyse candidate behaviour, create dynamic challenges, and deliver insights that outperform traditional interviews.

Requirements

• Experience building production AI systems and LLM-powered applications
• Strong foundation in RAG architectures, prompt engineering, and AI pipeline design
• Hands-on experience with model context protocols (MCP) and orchestrating complex AI workflows
• Track record of implementing AI solutions that scale to thousands of concurrent users
• Deep understanding of embedding systems, vector databases, and retrieval optimization
• Comfort working across the entire AI stack – from infrastructure to application layer
• Excitement about pioneering new approaches to AI-powered evaluation and fraud detection

• Must be able to work on-site in New York

If you're ready to make a significant impact and help us build a better hiring process, we'd love to hear from you.

Benefits

Are you passionate about quality and love uncovering hidden bugs and edge cases?

At Keycafe, we’re looking for a QA Engineer who thrives on digging into complex systems, ensuring reliability across both software and hardware, and acting as the critical safeguard for product stability. This isn’t just about running tests — it’s about owning the quality of a global IoT platform used in mission-critical operations every day. You’ll support our software team, but also roll up your sleeves at our Vancouver office to test SmartBox hardware in real-world conditions.

This is your opportunity to have measurable impact across our entire product stack, from cloud software to IoT devices deployed worldwide.

What You’ll Do

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Perception Software Engineer in United States.

This is a high-impact role focused on developing advanced machine learning and perception systems for real-world autonomous mobility. You will work within a multidisciplinary team to design and implement efficient, real-time, multimodal perception models that power a next-generation transit solution. From fusing camera, radar, and lidar data to optimizing model inference on embedded systems, your contributions will directly influence safety-critical systems and help transform how people move through urban environments.

Accountabilities:

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our partner companies is currently looking for a Software Developer, Embedded in Canada, Kosovo, North Macedonia, USA, or United Kingdom.

This role focuses on developing innovative embedded features that streamline operations for small business owners and enhance customer experience. You’ll work primarily with Python to build software integrated with various embedded systems such as Raspberry Pi and RP2040 microcontrollers. You'll join a globally distributed team of 5–8 developers dedicated to creating scalable, user-friendly embedded tech solutions. Collaboration, creativity, and a problem-solving mindset are key to success in this position. Whether you're a seasoned developer or early in your career, what matters most is your drive and your passion for making a real-world impact.

Accountabilities:

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Senior Embedded Software Engineer in San Francisco.

This role is ideal for someone passionate about embedded software and performance optimization. As a Senior Embedded Software Engineer, you will design, develop, and optimize software components for the Nvidia Jetson platform. Your work will involve deep dives into performance improvements, integration with various sensors and devices, and ensuring efficient development cycles for next-generation systems. You'll play a key role in advancing the future of mobile perception and embedded systems.

Accountabilities:

• Develop, port, and maintain operating systems (OS), boot software, device drivers, and run-time environments for various CPU subsystems on the Jetson platform.
• Focus on performance optimization, particularly for algorithms tailored to the Jetson architecture.
• Enhance tools and infrastructure for performance analysis to streamline the development process.
• Interface with diverse devices and sensors, such as GNSS, IMU, and LTE, integrating them into the overall system.
• Collaborate with cross-functional teams to ensure seamless integration and continuous improvements.