AI Infrastructure Lead Jobs

Our client, a growing company working within freight data, is hiring a Product Manager to join their team remotely. The successful candidate will join as the company’s first product management hire, giving them a rare opportunity to define the role, shape the roadmap and craft the product experience from day one.


Responsibilities

• Drive impactful improvements across API endpoints, schemas, data models and webhooks.

• Collaborate closely with engineering to deliver solutions that developers can integrate quickly, trust fully and confidently build on.

• Work with their product specialist to create clear, engaging documentation, integration guides, onboarding tutorials and code examples that accelerate first-time success.

• Lead the complete onboarding experience for fleets and platform customers.

• Streamline processes, clarify setup and guide customers to the “aha” moment where the company’s data demonstrates its value.

• Engage directly with brokers, TMSs, fintechs, and fleets to understand operational workflows and uncover where data adds or misses value.

• Translate customer insights into actionable roadmap priorities, shaping the product’s direction rather than simply informing it.

Skillset

• At least 4 years of product management experience, ideally with APIs, data platforms, developer tools or SaaS infrastructure.

• Proven experience managing technical or API-driven products with a strong focus on developer experience.

• Comfortable working with schemas, data models and complex integration workflows.

• Expert at turning operational challenges into clear, actionable product requirements.

• Ability to write precise specs, make informed decisions with incomplete information and drive initiatives forward.

• Thrives in ambiguity and can independently define direction when needed.

• Demonstrated success shipping platform or API products that integrate smoothly in real-world environments.

• Capable of communicating effectively with developers, engineers and freight operators alike.

• Experience in logistics, supply chain or fintech is an advantage.

Benefits

• Salary: $135k - $160k DOE.

• Equity.

• Remote working.

• 401(k) match.

Our client, an AI-driven startup focused in the digital media industry, are hiring a Senior/Staff Backend Engineer to join their team in Brooklyn, New York. The successful candidate will lead the organization’s backend systems, driving technical direction, owning core infrastructure and shaping the growth of their backend team to support fast-growth expansion.


Responsibilities

• Design and implement a generation orchestration layer capable of supporting rapid user growth and high-demand workloads.

• Enhance observability across backend systems to proactively identify and resolve issues before they impact users.

• Optimize the database layer, including schema design, indexing strategies, migrations and overall performance at scale.

• Drive vendor and architectural decisions to enable new features and improve system reliability.

• Partner with the CTO, Product Engineer and Intelligence Engineering teams to deliver a stable, high-performance foundation for all clients.

Skillset

• At least 7 years of experience building resilient backend systems that operate at significant scale.

• Minimum of 5 years of TypeScript expertise with strong convictions on type safety, error handling and code structure.

• Demonstrated ability to design, deploy and maintain highly reliable systems.

• Hands-on experience with queue-based architectures, including job scheduling, orchestration and fault-tolerant workflows.

• Strong intuition for observability e.g. instrumentation, monitoring and proactively improving system reliability.

• Proven technical leadership e.g. defining architecture, making critical decisions and mentoring engineering teams.

• Experience with Convex or other real-time database architectures is a plus.

• Familiarity with creative tools, media pipelines or workflows involving complex asset management.

• Expertise in large-scale queueing and orchestration systems.

• Knowledge of serverless patterns and platforms, including Vercel, AWS Lambda and Google Cloud Run is an advantage.

Benefits

• Salary: $180k - $220k DOE.

• Equity.

• Comprehensive health and dental coverage.

Our client, a leading Health Insurance organization, is hiring a Software Engineer to join the team remotely. The successful candidate will work hand-in-hand with their product team to develop AI-driven features that transform how HR teams and employees engage with benefits and healthcare systems, while also equipping the company’s internal consulting teams with smarter, more efficient tools.


Responsibilities

• Partner with Product, Engineering and Design teams to uncover challenges and craft generative AI solutions using best-in-class software engineering practices.

• Integrate AI capabilities across the full stack (frontend, backend and infrastructure) seamlessly within their applications.

• Develop intelligent search and retrieval systems that help users find the information they need, faster.

• Design and optimise interactions with foundation models (GPT-4, Claude, Gemini) to deliver consistent and reliable results.

• Deliver AI-powered features with the same high standards of reliability, scalability and performance as all applications.

Skillset

• At least 5 years of experience building modern full-stack web applications using Python and JavaScript/TypeScript.

• Hands-on experience integrating foundation models directly via APIs to create intelligent applications.

• Proven ability to translate user needs into technical solutions while collaborating across cross-functional teams.

• Comfortable working across frontend, backend and infrastructure layers.

• Experience with advanced AI tools, including tool-calling, multi-agent systems and emerging AI capabilities.

• Machine Learning background, with experience in PyTorch, scikit-learn, and deploying proprietary or open-source models.

• Strong communicator capable of partnering effectively with non-technical stakeholders.

Benefits

• Salary: $150k - $200k DOE

• Stock options.

• Health, Dental and Vision insurance.

• Remote working.

Our client, a leading innovator in Insurance industry, are hiring an AI Engineer to join their growing team in New York. The successful candidate will play a key role in executing the company’s AI strategy, along with designing, building and integrating intelligent, reliable and scalable AI-driven features into their core applications using modern web frameworks and cloud infrastructure.


Responsibilities

• Partner with product, engineering and design teams to uncover user challenges and deliver generative AI solutions using modern software development practices.

• Build end-to-end AI integrations across the full stack - frontend, backend and infrastructure - embedding intelligence directly into applications.

• Create smart search and information retrieval systems that enable users to access relevant data quickly and efficiently.

• Design and implement robust interactions with foundation models (e.g. GPT-4, Claude, Gemini) to ensure reliable and consistent performance.

• Deliver AI-powered features that uphold the highest standards of scalability, security and performance.

Skillset

• Minimum of 5 years of experience building modern full-stack web applications with Python and JavaScript/TypeScript.

• Practical experience integrating foundation models via direct API connections.

• Demonstrated ability to translate user challenges into elegant technical solutions and lead initiatives that deliver engaging AI experiences.

• Proficient across the full application stack, from frontend to backend and infrastructure.

• Knowledge of tool calling, multi-agent systems, and emerging frameworks such as Model Context Protocol (MCPs).

• Hands-on experience with Machine Learning (PyTorch, scikit-learn) and deploying proprietary or open-source models.

• Strong communication skills with a proven ability to collaborate effectively with cross-functional teams.

Benefits

• Salary: $170k - $200k

• Stock options.

• Healthcare, vision and dental insurance.

Our client, an innovator in the healthcare industry, is hiring a hands-on Tech Lead Manager (Machine Learning) to join their team in Utah. The successful candidate will lead the development of the Personalization Engine, combining hands-on machine learning engineering with team leadership to build and scale production ML systems that deliver real-world impact.


Responsibilities

• Take ownership of the machine learning system that powers the organization’s Personalization Engine.

• Lead the end-to-end ML lifecycle, including model development, deployment, monitoring and optimization.

• Ensure the platform remains reliable and scalable across millions of healthcare transactions.

• Build advanced ML solutions such as ensemble models, reinforcement learning approaches and multi-armed bandit systems.

• Architect and maintain high-performance MLOps infrastructure, including feature stores, data pipelines and monitoring systems.

• Strengthen feedback loops so models continuously learn and improve based on real patient behaviour.

• Lead, manage and mentor a team of machine learning engineers.

• Carry out thorough code and system design reviews to uphold strong technical standards.

• Promote a culture focused on experimentation, continuous learning and meaningful impact.

• Partner closely with product and design teams to translate complex patient journey challenges into ML-powered solutions.

Skillset

• At least 6 years of experience designing and deploying machine learning systems in production environments at scale.

• Proven experience building personalisation or recommendation engines for consumer-facing products (e.g. fintech, e-commerce).

• Strong programming capabilities in Python and SQL.

• Minimum of 2 years’ experience leading teams, managing engineers or operating as a technical ML lead.

• Hands-on experience across the entire ML lifecycle, including data pipelines, model development and MLOps.

• Ability to translate business challenges into practical machine learning solutions.

• Experience incorporating Generative AI into personalisation platforms or features is a bonus.

• Broader product engineering leadership experience beyond ML-focused systems.

Benefits

• Salary: $195,000 - $245,000 DOE.

• Equity.

• Flexible and Remote working options.

• Health benefits.

• 401(k) with 100% match up to 3%

Our client, a leading IT Consulting organization, is hiring a ServiceNow Technical Architect to join their team in Maryland. The successful candidate will act as a subject matter expert across a range of internal and client-facing projects, delivering technical leadership and architectural guidance for the ServiceNow platform.


Responsibilities

• Serve as the Enterprise Architect across a range of technologies, with a primary focus on the ServiceNow platform.

• Perform code reviews to ensure solutions align with best practices and established platform standards.

• Provide technical guidance and architectural direction for ServiceNow implementations and platform enhancements.

• Act as a subject matter expert for both the company’s clients and the internal ServiceNow development team.

• Produce high-level estimates and work breakdown structures to support ServiceNow project planning and delivery.

• Work closely with the development team to present and demonstrate potential technical solutions where required.

• Identify opportunities to enhance, optimize and streamline the overall ServiceNow platform.

• Offer advice and oversight on platform security, ensuring strong governance and best-practice security standards are maintained.

Skillset

• U.S. Citizenship is required.

• Bachelor’s degree in Computer Science or a related field.

• At least 5 years of experience developing on the ServiceNow platform, ideally within medium to large enterprise environments.

• Minimum of 7 years of application development experience, including working with SDLC methodologies and Agile/Scrum frameworks.

• Certifications in ITIL Foundation, ServiceNow Certified System Administrator, ServiceNow Certified Application Developer and/or ServiceNow Certified Implementation Specialist.

• Strong background in developing scalable custom applications and solutions.

• Experience with JavaScript and open-source technologies.

• Comprehensive knowledge of technical implementations across multiple ServiceNow modules.

• Solid understanding of networking principles and infrastructure best practices.

• Demonstrated ability to lead and collaborate within a team, providing technical guidance and mentorship where needed.

Benefits

• Salary: Circa. $200k

Our client, an AI-driven organization impacting the ecommerce market, is hiring an experienced AI/ML Engineer to join their team in Los Angeles, California. The successful candidate will lead the design and implementation of AI verification pipelines, develop robust evaluation systems and deliver production-ready features impacting millions of users.


Responsibilities

• Lead the architecture and implementation of AI verification pipelines to ensure robust, reliable model performance.

• Design, build and maintain evaluation infrastructure for AI systems at scale.

• Develop production-ready AI features that are deployed to millions of users.

• Create reasoning systems that convert probabilistic AI outputs into deterministic, auditable recommendations.

• Collaborate with cross-functional teams to integrate AI-native products into broader platforms.

• Continuously monitor, test and improve AI systems to maintain performance, security and reliability.

Skillset

• Deep expertise in machine learning, AI verification and evaluation frameworks.

• Strong experience with probabilistic modeling, reasoning systems and knowledge graphs.

• Proficiency in Python and modern ML/AI libraries (e.g. TensorFlow, PyTorch, JAX).

• Experience building production-scale AI systems that serve millions of users.

• Strong understanding of software engineering principles: version control, CI/CD, testing, and deployment.

• Familiarity with adversarial testing, verification pipelines, and AI auditing.

• Experience in AI-native product design and implementation.

• Knowledge of cloud platforms (AWS, GCP, or Azure) for scalable AI infrastructure.

• Research experience in AI interpretability, explainability or safety is a bonus.

Benefits

• Salary: $350k - $450k DOE.

Our client, a growing Health tech organization, is hiring a Software Development Manager to join their team remotely. The successful candidate will lead a high-caliber engineering group, play a key role in evolving a mission-critical component of healthcare infrastructure and help deliver the technology underpinning modern healthcare systems.


Responsibilities

• Lead a high-performing engineering team, setting ambitious goals and maintaining a strong focus on quality.

• Oversee daily engineering workflows to ensure projects are completed efficiently and meet high standards.

• Collaborate closely with Product and Customer Operations to align engineering outputs with customer needs and address critical issues.

• Establish clear expectations and drive accountability through regular performance evaluations and progress monitoring.

• Enhance team processes by facilitating design reviews, post-mortems and promoting a culture of continuous improvement.

• Maintain operational readiness, including coordinating incident responses, ensuring compliance, managing runbooks and upholding security practices.

• Mentor and guide engineers while working cross-functionally to uphold technical excellence.

Skillset

• Minimum of 5 years of engineering experience, including at least 3 years in a leadership or management role.

• At least 2 years of practical, hands-on experience with AWS services.

• Outstanding written communication skills, with the ability to articulate complex technical concepts clearly.

• Demonstrated success leading and managing remote-first engineering teams.

• Strong commitment to building, mentoring and sustaining high-performing teams.

• Able to manage multiple priorities and work effectively in a fast-paced, dynamic environment.

Benefits

• Salary: Circa. $200k

• Remote working from U.S. or Canada.