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Our client, an AI-driven Healthcare startup, are hiring a Full Stack Engineer to join their team In New York. The successful candidate will work closely with founders and senior engineers at the intersection of healthcare, AI and real-time systems, by taking ownership of features and systems that directly impact patient care.


Responsibilities

• Develop and maintain full-stack production features that drive AI-powered healthcare communication.

• Integrate seamlessly with EHRs, legacy systems and real-time voice infrastructure.

• Translate customer needs into delivered software in collaboration with product, design and engineering teams.

• Enhance reliability, performance and scalability across live systems.

• Participate in technical discussions, code reviews and the evolution of engineering best practices.

Skillset

• At least 3 years of experience building and shipping production-ready software.

• Proficient full-stack developer with Node.js, TypeScript, React and PostgreSQL.

• Thrives in fast-moving environments and learns quickly.

• Takes ownership - committed to quality, reliability, and making a real-world impact.

• Strong communicator and team player, collaborating effectively across functions.

Benefits

• Salary: $150k - $220k DOE.

• Comprehensive benefits package.

Our client, an AI-driven Healthcare startup, are hiring a Full Stack Engineer to join their team In New York. The successful candidate will take ownership of core backend systems and collaborate closely with founders who have deep expertise in healthcare operations and large-scale AI systems.


Responsibilities

• Design and manage services, data models, and business logic that power AI-driven healthcare workflows.

• Implement multi-step, asynchronous AI workflows with retries, conditional logic and fault-tolerant handling.

• Manage high-stakes connections with EHRs and legacy healthcare platforms via APIs and robotic process automation (RPA).

• Develop frameworks that enable rapid deployment and customization of AI assistants for diverse healthcare environments.

• Implement and uphold backend authentication, authorization and HIPAA-compliant architecture for enterprise healthcare systems.

Skillset

• At least 5 years designing, developing and scaling backend systems in high-availability production environments.

• Deep knowledge of APIs, relational databases, asynchronous workflows and distributed systems.

• Comfortable navigating ambiguity, taking full responsibility for system outcomes and solving problems end-to-end.

• Excellent communicator who clearly conveys technical ideas and raises potential risks proactively.

• Experience with HIPAA, security or other regulated environments is a plus.

Benefits

• Salary: $170k - $250k DOE.

Our client, an AI-driven startup within the Healthcare industry, are hiring a Forward Deployed Engineer to join their team In New York. The successful candidate will shape the organization’s technology, culture and growth from day one, directly impacting millions of patients and providers daily through their AI-powered platform.


Responsibilities

• Develop and deploy production-ready AI integrations and platform functionality.

• Lead technical projects from initial planning through successful launch.

• Design scalable systems and workflows that strengthen our competitive advantage.

• Serve as the technical liaison for customers, guiding integrations and building trusted relationships.

• Fine-tune AI agents at scale to enhance performance and deliver exceptional patient experiences.

• Convert field insights into actionable product improvements that shape the company’s roadmap.

Skillset

• Minimum of 3 years of hands-on engineering experience delivering production-ready systems.

• Demonstrated leadership managing complex, multi-stream technical projects from start to finish.

• Confident customer-facing presence, able to lead architecture discussions and technical collaborations.

• Sharp product insight, translating customer needs into actionable engineering solutions.

Benefits

• Salary: $150k - $220k DOE.

• Equity.

• Healthcare insurance.

Our client, an early-stage, AI-driven startup in the defense industry, is hiring an AI Engineer to join their team in California. The successful candidate will design and deploy advanced multimodal models that power the cognitive capabilities of their robotic platforms, playing a key role in shaping the next generation of intelligent defense systems.


Responsibilities

• Design, train, and assess advanced VLA models for robotic platforms.

• Develop scalable architectures for multimodal integration, continual learning and domain adaptation.

• Build dynamic memory, communication and tool-use capabilities for autonomous AI agents.

• Translate state-of-the-art research into real-time, deployable perception and decision-making systems.

• Collaborate with robotics and mission teams to integrate ML pipelines with onboard autonomy.

• Maintain and optimise codebases for training, simulation and real-world inference.

• Evaluate performance and robustness in complex, unstructured and adversarial environments.

• Monitor and incorporate the latest advances in VLMs, reinforcement learning, computer vision and autonomous systems.

• Support field testing and mission operations to validate models under real-world conditions.

Skillset

• PhD or Masters degree or higher in Computer Science, AI or similar.

• At least 2 years of hands-on experience building and deploying AI systems, preferably in agentic AI, robotics, autonomous systems or real-time applications.

• Strong foundation in computer vision, deep learning or multimodal architectures, including VLMs, transformers or autonomous agents.

• Proficiency in Python and PyTorch or TensorFlow. Bonus points for experience with JAX, CUDA, or real-time inference optimisation.

• Experience with distributed training, fine-tuning, and reinforcement learning.

• Demonstrated ability to take research from prototype to production in fast-paced environments.

• Experience with embodied AI systems.

• Background in mission-oriented deployments, such as DoD, aerospace or robotics is a bonus.

Benefits

• Base Salary: $160k - $220k DOE. Exceptional candidates may be considered for higher compensation. 

• Equity.

• Performance bonus.

• Medica, dental and vision coverage.

Our client, an early-stage, AI-driven startup in the defense industry, is hiring an AI Researcher to join their team in California. The successful candidate will combine advanced machine learning research with robotics and defense applications, transforming foundational research into scalable, robust models that operate effectively in unstructured, high-stakes environments - from concept through to deployment.


Responsibilities

• Conduct original research in embodied AI, including reinforcement learning, imitation learning, memory, reward design, vision-language modeling and world modeling.

• Build, test and benchmark large-scale models for perception, decision-making and control in both simulated and physical environments.

• Investigate transfer learning and continual learning across diverse robotic domains.

• Collaborate with engineering, robotics and field teams to integrate research into operational systems.

• Lead research strategy and define the roadmap across key areas of autonomy and machine learning.

• Support field tests and data collection campaigns to evaluate system performance in realistic environments.

Skillset

• PhD in Computer Science, Robotics, Machine Learning or similar.

• Proven publication record in top-tier conferences or journals.

• Deep expertise in reinforcement learning, imitation learning, vision-language models, sim-to-real transfer, world modeling or agentic AI.

• Hands-on experience building and evaluating models for embodied agents or autonomous systems.

• Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow or JAX.

• Experience working with large-scale datasets and high-dimensional sensor inputs.

• Demonstrated ability to take research ideas from concept to deployed prototype.

• Background in DoD, aerospace, or other mission-critical operational deployments is a plus.

• Legal authorization to work in the U.S.; some duties may require access to U.S. export-controlled information.

Benefits

• Salary: $160K – $220K DOE. Exceptional candidates may be considered for higher compensation.

• Performance Bonus.

• Equity.

• Medical, dental and vision insurance.