Senior Software Engineer, AI Platform Jobs

Our client, an AI-driven organization, is hiring experienced Senior Software Engineers to join their team in New York. The successful candidate will design and build large-scale systems that enable AI to run quickly, securely and reliably in production, contributing to a transformative platform that reimagines how organizations build internal software and helps define the future of SaaS.


Responsibilities

• Design and build large-scale untrusted code execution environments with secure sandboxing.

• Develop and operate massively parallel AI agent runtimes and scheduling systems.

• Architect and maintain multi-cloud and customer VPC deployment models.

• Build highly reliable distributed systems with strict security and data integrity guarantees.

• Implement deep observability across AI workflows and underlying infrastructure.

• Create and evolve enterprise-grade integration and metadata platforms.

Skillset

• Strong foundation in distributed systems, scalability, multi-cloud architecture and security.

• Practical experience with operating systems, containers, Kubernetes, cloud networking and event-driven runtimes such as Knative or KEDA.

• A passion for creating simple, elegant solutions to complex systems challenges.

• Demonstrated experience designing, building and operating large-scale infrastructure.

• A strong zero-to-one mindset with the ability to thrive in ambiguous problem spaces.

Benefits

• Salary: $220k - $250k DOE.

• Equity.

Our client, an AI-driven organization, is hiring a Senior Full Stack Engineer to join their team in New York. The successful candidate will leverage emerging AI technologies to develop production-ready software and deliver outstanding user experiences.


Responsibilities

• Design, develop and maintain both the frontend and backend of the company’s AI platform, ensuring robust and scalable solutions.

• Collaborate cross-functionally with design, sales, marketing and customers to create intuitive and seamless user experiences.

• Optimize performance for speed, scalability and reliability across all applications.

• Craft clean, maintainable code and interfaces in a complex, integration-heavy environment.

• Diagnose and resolve issues efficiently while upholding high standards of code quality.

• Stay at the forefront of emerging technologies to continuously enhance our platform.

Skillset

• Extensive Full Stack experience with a strong portfolio of web applications.

• Expertise in ReactJS, TypeScript and server-side development.

• Hands-on experience with RESTful APIs, asynchronous programming and Git.

• Experience working with generative AI APIs, embeddings, streaming outputs and tool calling.

• Familiarity with CI/CD pipelines, container orchestration and cloud infrastructure.

• Knowledge of server-side rendering, static site generation, and testing frameworks such as Jest and Cypress is a plus.

• Proficient in SQL/PostgreSQL, including Row Level Security.

• Excellent communication and problem-solving skills.

Benefits

• Salary: Circa. $200k DOE.

• Health, dental, vision, life and disability insurance.

• 401(k) with match.

• Remote working options.

• Develop, implement and fine-tune enterprise-level AI models and reliable production workflows.
• Create and maintain a real-time distributed execution engine that supports AI applications, agents and workflows.
• Design scalable and resilient systems that enable multi-tenant and hybrid cloud deployments, featuring secure APIs and a versatile integrations platform.
• Work closely with customers and design partners to collect feedback, validate approaches and guide product development.
• Collaborate with the product team to shape the roadmap and keep pace with the latest advancements in AI infrastructure.

• At least 5 years of experience deploying and managing production applications in cloud environments.
• Extensive knowledge of containers, virtual machines, caches, task queues, networking and operating systems.
• Proven experience in building and running production AI systems.
• Familiarity with AI inference methodologies.
• Proficient with machine learning frameworks such as PyTorch and TensorFlow.
• Strong product intuition with a commitment to delivering smooth and intuitive user experiences.
• Strategic thinker who can anticipate market demands and develop effective technical solutions.
• Startup mindset - quick to act, comfortable with uncertainty, and passionate about turning ideas into delivered products.

• Salary: $170K - $210k
• Equity
• Remote working within the U.S.

Our client, a growing AI-driven startup, is hiring a Senior Backend Engineer to join the team in New York. The successful candidate will play a pivotal role in shaping both the product and platform, designing the APIs and infrastructure that power identity verification for millions of users.


Responsibilities

• Architect and develop high-performance APIs and backend services that power the company’s platform.

• Collaborate closely with product, design and frontend teams to deliver features from concept through production.

• Actively contribute to product vision, roadmap planning and key technical decisions.

• Take full ownership of major features and product areas, from initial design through deployment and iteration.

• Write production-grade Rust for secure systems handling highly sensitive data.

Skillset

• At least five years’ experience in Backend Software Engineering.

• Previous experience of designing scalable, secure architectures from the ground up.

• Knowledge of Rust, TypeScript, Postgres, Next.js / React, Pulumi, AWS and/or Vercel.

• Hands-on experience in KYC, identity verification or fraud prevention is a bonus.

• Background in cryptography or systems security is a plus.

• Strong interest and experience building large-scale systems in Rust.

• Experience operating at scale on AWS, with infrastructure-as-code tools.

Benefits

• Salary: $160,000?-?$230,000 DOE.

• Equity.

• Fully covered health, dental and vision insurance.

Our client, an AI-driven healthcare organization, is hiring a Software Engineer with expertise in Backend Engineering and Machine Learning to join their team in New York. The successful candidate will design and build scalable backend systems and machine learning infrastructure, which will support real-time patient engagement, seamless integration of complex data sources and measurable improvements in healthcare outcomes.


Responsibilities

• Design, build and maintain scalable backend services and APIs that power an AI-driven patient engagement platform.

• Develop and operate production-grade infrastructure for deploying, monitoring and scaling LLM-based applications.

• Collaborate with AI/ML engineers to embed conversational AI and predictive models into core platform workflows.

• Architect flexible, extensible backend systems that scale with expanding product capabilities and data demands.

• Implement and maintain CI/CD pipelines, including automated testing, versioning and deployment processes.

• Develop reusable libraries, frameworks, and components to accelerate development and enhance code quality.

• Promote engineering best practices to ensure systems are secure, scalable, and maintainable.

• Utilize cloud platforms (GCP, Azure, AWS) to deliver reliable and cost-efficient infrastructure for web services and ML workloads.

Skillset

• Minimum 5  years of full-stack development experience, including at least 2 years in a senior-level role.

• Proven track record of taking products from 0 ? 1 and scaling from 1 ? N in early-stage environments.

• Strong proficiency in Node.js and/or Python, relational databases, ReactJS and Express.

• Demonstrated interest in AI, with hands-on experience integrating LLMs into production systems.

• Excellent system design and architecture skills, with a focus on scalability and extensibility.

• Disciplined engineering approach, adhering to Clean Code principles, TDD, and CI/CD practices.

• Experience collaborating with cross-functional and non-technical stakeholders.

• Portfolio of projects showcasing leadership or ownership of significant engineering initiatives.

Benefits

• Salary: $150k - $180k DOE.