AI Engineer Jobs

Our client, a leading financial services organization, is hiring a Senior ServiceNow Architect to join their team in Georgia. The successful candidate will define the ServiceNow platform's architecture and roadmap, oversee solution design and ensure delivery aligns with business objectives and enterprise standards.


Responsibilities

• Shape the ServiceNow platform architecture and roadmap to meet evolving business priorities.

• Design solutions across ITSM, ITOM, HRSD, CSM, ITAM, SAM, GRC and SecOps, incorporating integrations, AI and DevOps capabilities.

• Set architectural standards, design principles and governance processes to ensure consistent implementation.

• Provide technical direction on security, data integrity, scalability, resilience and platform upgrades.

• Collaborate with architects, platform owners and product teams to connect ServiceNow with the wider enterprise ecosystem.

• Assess and oversee the integration of agentic AI and generative AI tools.

• Lead the introduction of new ServiceNow functionality and platform releases.

• Create reference architectures, reusable frameworks and templates to streamline solution delivery.

• Contribute to infrastructure architecture across cloud and on-premises environments.

• Coach ServiceNow engineers and promote shared architectural knowledge and practices.

Skillset

• At least 7 years' experience in enterprise or solution architecture, delivering large-scale systems across multiple business and technology domains.

• At least 3 years' experience designing ServiceNow architectures and leading complex implementations across multiple modules.

• Minimum of 3 years' experience with core ServiceNow capabilities, including Service Catalog, Flow Designer, Integration Hub, CMDB, Discovery, Performance Analytics and custom applications.

• Strong knowledge of key ServiceNow modules, particularly ITSM, ITOM, CSM or GRC.

• Experience designing enterprise integrations using REST, SOAP, JDBC or similar technologies.

• Hands-on development skills in JavaScript, ServiceNow scripting and Studio/App Engine.

• At least one year's experience with agentic AI architectures, AI skills development and enterprise applications of generative AI.

• Knowledge of security, compliance and DevOps principles, ideally supported by experience with CI/CD pipelines, GitHub Actions and automated deployments.

• Familiarity with AWS or GCP, cloud-native services, multi-cloud architectures and cloud migration strategies would be an advantage.

• Strong stakeholder communication skills, with the ability to translate business requirements into architectural solutions.

Benefits

• Salary: $110k - $140k.

Our client, an innovative Healthtech company, is hiring a Software Development Engineer in Test (SDET) to join their team in California. The successful candidate will design, build and own the test automation architecture, develop scalable automation frameworks and embed reliable testing into CI/CD pipelines to ensure new features are secure, dependable and ready for release.


Responsibilities

• Develop and maintain automation frameworks for UI, API, integration and Model Context Protocol (MCP) testing.

• Embed automated test suites into CI/CD pipelines, incorporating quality gates, parallel execution, clear reporting and monitoring for unreliable tests.

• Automate key user journeys, including registration, identity verification, consent management, health record retrieval and data delivery.

• Maintain regression suites, release smoke tests and automated checks of critical production workflows.

• Create synthetic patient data, sample healthcare records and mock external services to support reliable testing.

• Work closely with Product and Engineering to define requirements, refine acceptance criteria and ensure features can be tested effectively.

• Validate authentication, authorisation, consent revocation, access controls and audit trail accuracy.

• Build automated evaluations for AI features, checking accuracy against source records, identifying hallucinations and detecting regressions following model or prompt changes.

• Investigate test failures, document reproducible defects and report quality metrics to inform release decisions.

• Maintain traceable testing evidence to support HIPAA and SOC 2 compliance.

Skillset

• Minimum of 4 years' experience in software testing and automation, including at least 2 years building or significantly extending automation frameworks.

• Strong coding skills in TypeScript/JavaScript or Python.

• Hands-on UI and API testing experience using tools such as Playwright, Cypress, Selenium, Pytest, Postman/Newman or REST Assured.

• A solid understanding of REST APIs, JSON, HTTP and OAuth 2.0/OIDC.

• Experience with Git and CI/CD pipelines, using GitHub Actions, Jenkins, GitLab CI or similar tools.

• Familiarity with cloud environments, preferably AWS, alongside Docker and containerised services.

• Strong attention to privacy, security, data integrity and edge cases, with clear communication skills and a collaborative approach.

• Experience with healthcare interoperability standards, health information exchanges or EHR integrations would be an advantage.

• Experience testing LLM-powered applications, AI agents or MCP servers would be beneficial.

• Exposure to performance testing, observability tools or HIPAA-regulated/SOC 2-audited environments would be a plus.

Benefits

• Salary: $140k - $180k.

Our client, a rapidly growing AI startup in the hospitality sector, is hiring a Founding Applied AI Engineer to join their team in New York. The successful candidate will play a key role in developing the platform, delivering AI applications into production and leading technical decisions, while also helping define the product roadmap and broader business strategy.


Responsibilities

• Build and launch end-to-end product features, spanning backend services, AI workflows and customer-facing React applications.

• Develop the systems that enable AI agents to operate effectively, including context handling, tool execution, orchestration, persistent state and human approvals.

• Create APIs, integrations and data pipelines linking point-of-sale, accounting, payroll and other business systems.

• Convert invoices, recipes, supplier catalogues and inventory records into accurate, structured data.

• Design evaluations around real customer workflows and diagnose issues across model outputs and tool interactions.

• Strengthen agent reliability through effective error recovery and escalation processes.

• Use production results to guide model selection and improve accuracy, completion rates, response times and operating costs.

• Engage with customers to understand their operational needs and translate feedback into practical product enhancements.

• Help shape system architecture, product priorities and engineering practices as the business grows.

Skillset

• Strong technical expertise in LLM and agentic applications, backend and data systems, or React product development.

• Proficiency in Python or JavaScript/TypeScript, with a willingness to develop across both.

• Experience delivering production AI agents, including tool integration, context management, persistent state, error recovery and evaluations.

• An understanding of different AI models and providers, and how their strengths and limitations influence architecture and performance.

• Experience developing and operating cloud applications on AWS, GCP, Azure or similar platforms.

• A track record of building substantial software and explaining the technical decisions behind it; startup work, personal projects and open-source contributions are welcome.

• Experience building data pipelines and working with SQL or document databases to manage incomplete or inconsistent information.

• Strong engineering practices, including version control, maintainable code, effective testing and systematic debugging.

• A product-focused mindset, with the initiative to understand customer needs, challenge assumptions and take ownership of delivery.

Benefits

• Salary: $150k - $225k.

• Equity.

Our client, a rapidly growing AI startup in the hospitality sector, is hiring a Founding Software Engineer to join their team in New York. The successful candidate will be responsible for helping to shape the product roadmap, work closely with customers and lead feature development from early ideas through to launch.


Responsibilities

• Build and launch end-to-end features across backend systems, AI agents and customer-facing React applications.

• Develop the infrastructure supporting agent context, tool use, orchestration, persistent state and human approvals.

• Create APIs, integrations and data pipelines linking point-of-sale, accounting, payroll and other operational platforms.

• Convert invoices, recipes, supplier catalogues and stock records into accurate, structured data.

• Evaluate agents against real customer workflows, diagnose failures and strengthen recovery and escalation processes.

• Use production results to assess models and providers, improving accuracy, completion rates, response times and cost efficiency.

• Collaborate with customers to understand day-to-day challenges and turn their feedback into practical product enhancements.

• Help shape product priorities, system architecture and strategic decisions as an early member of the engineering team.

Skillset

• Strong technical expertise in LLM and agentic applications, backend and data system and/or React product development.

• Proficiency in Python or JavaScript/TypeScript, with the flexibility to work across both.

• Experience deploying production AI agents, including tool execution, context management, persistent state, failure recovery and evaluations.

• Ability to assess different AI models and providers, understanding how their strengths and limitations influence architecture and performance.

• Experience developing and operating cloud infrastructure on AWS, GCP, Azure or equivalent platforms.

• Strong data engineering skills, including APIs, integrations, pipelines and databases that handle incomplete or inconsistent information.

• A track record of building substantial software, with the ability to explain technical decisions, trade-offs and lessons learned.

• Good engineering discipline, including readable code, version control, testing and systematic debugging.

• A product-focused, proactive approach, with the confidence to work with customers, challenge assumptions and own delivery in an early-stage environment.

Benefits

• Salary: $150K - $225K

• Equity.

Our client, a growing US proptech company, is hiring a Full-Stack Engineer to join the team in New York. The successful candidate will collaborate with product, operations and leadership teams to develop platform features, take ownership of projects from initial design through to delivery and help shape the technical architecture and engineering culture.


Responsibilities

• Build full-stack functionality that helps renters secure housing and supports landlords in increasing occupancy.

• Develop and scale backend systems using Ruby on Rails and PostgreSQL.

• Deliver and enhance customer-facing applications with React, JavaScript and TypeScript.

• Manage features end to end, covering backend logic, API development and frontend delivery.

• Work with product and leadership teams to define roadmap priorities, technical architecture and system design.

• Strengthen platform reliability, optimize application performance and improve development workflows.

• Help establish engineering best practices and guide technical decisions to support future growth.

Skillset

• Minimum of 2 years of professional software engineering experience, with a strong command of Ruby on Rails.

• Proven experience building frontend applications with React and JavaScript.

• Comfortable working across backend development, frontend applications and infrastructure.

• A degree in computer science or an equivalent engineering background.

• Able to work independently, take initiative and own delivery in a fast-moving environment.

• Strong analytical and problem-solving skills, with the ability to turn changing requirements into effective solutions.

Benefits

• Salary: Up to $175k DOE.

• Comprehensive health benefits.

• A laptop and full equipment setup.

Our client, AI-focused Insurance startup, are hiring a Software Engineer to join their team in New York. The successful candidate will be responsible to own core systems from day one, developing products that transform complex, unstructured insurance data into actionable insights.


Responsibilities

• Develop data ingestion pipelines to convert insurance policies, schedules, loss runs and other complex documents into structured data.

• Connect and enrich insurance data with insights from over 100 external datasets.

• Create AI-driven underwriting and risk modelling workflows that inform pricing and insurance placement decisions.

• Design and build customer-facing applications that simplify insurance portfolio organization, analysis and management.

• Work across backend systems, infrastructure and frontend applications.

• Take ownership of features from concept to launch, collaborating closely with the CTO and founding engineering team.

• Apply modern AI development tools to streamline delivery and increase engineering productivity.

Skillset

• At least 4 years of software engineering experience, with a track record of shipping products for real customers.

• Experience as a founding or early-stage engineer or in a small startup team with a broad remit.

• Strong full-stack capabilities, with confidence across backend development, infrastructure and customer-facing applications.

• Practical experience building APIs, data pipelines, asynchronous workflows and data enrichment processes.

• An interest in using AI and software to turn complex, unstructured data into useful information.

• Initiative, sound judgement and the ability to work independently as requirements evolve.

• Clear communication skills, openness to challenging assumptions and a commitment to taking ownership of results.

Benefits

• Salary: $150k - $200k.

• Equity.

• Health Insurance.

Our client, a venture-backed HealthTech startup, is hiring a Founding Engineer to join their team in San Francisco. The successful candidate will turn real customer challenges into products that make a difference, owning the journey from the first conversation through design, development, launch and beyond.


Responsibilities

• Take customer-facing features from concept to launch, building across the full stack.

• Build AI agents that streamline documentation, process claims and automate the management of denied claims.

• Partner with customers to understand their day-to-day challenges and uncover opportunities for better solutions.

• Lead technical delivery, from architecture and development through deployment and production support.

• Design intuitive interfaces that make complex workflows simple to navigate.

• Shape engineering standards, influence product priorities and build the foundations for the company's growth.

Skillset

• At least 3 years of experience taking full-stack products from initial idea through to launch.

• Practical experience building agentic AI workflows and using AI agents to accelerate development.

• Experience integrating APIs and working with LLMs and RAG architectures.

• Strong React development skills, paired with an eye for thoughtful design and intuitive user experiences.

• Experience with Go, PostgreSQL or Google Cloud.

• Knowledge of emergency medical services, healthcare or insurance billing is a plus.

• Previous experience as a founder or founding engineer is a bonus.

• Clear communication skills and confidence working directly with customers.

Benefits

• Salary: $140k - $220k.

• Equity.

• Health, vision and dental insurance.

Our client, an AI-driven startup transforming the healthcare sector, is hiring a Senior/Staff Product Manager to join the team in San Francisco. The successful candidate will define and lead the next generation of the company's AI developer platform, building on industry-leading integrations with Anthropic's Claude, Microsoft Copilot and Salesforce to connect unified health records with leading payers and digital health applications.

Responsibilities

• Define and drive the product vision and roadmap for evolving the company's MCP Server into a comprehensive AI SDK, expanding from data retrieval to clinically grounded insights and action-oriented capabilities.

• Own the product strategy for the company's clinical data knowledge graph, defining how AI agents understand and navigate relationships across FHIR resources, including conditions, medications, labs, encounters, care plans, goals and their temporal relationships.

• Shape an exceptional AI developer experience, designing SDKs, tools, skills, prompts, structured artifacts and composable MCP capabilities that enable developers to build powerful health AI applications.

• Define the insight-to-action journey, enabling AI agents to identify care gaps, follow-up needs, preventive opportunities and appropriate next steps for patients.

• Develop the product strategy for connecting AI-generated insights to real-world care delivery, including providers, laboratories, pharmacies, specialists, telehealth platforms and care navigation services.

• Ensure SDK capabilities are built on the company's identity, consent, authorization and data provenance infrastructure, ensuring patients remain in control of how their health data is accessed and used.

• Identify, evaluate and build strategic ecosystem partnerships that expand the SDK's ability to connect patients with relevant healthcare providers, services and solutions.

• Collaborate closely with Engineering, Design and Clinical teams to translate product strategy into clear requirements, technical specifications, and production-ready capabilities.

• Own launch readiness, adoption and product success metrics, using developer and customer feedback to continuously improve the platform and accelerate adoption.

Skillset

• At least 7 years of technical product management experience, including a minimum of 3 years working across healthcare data, AI/ML platforms, developer infrastructure or related technologies.

• Deep expertise in the FHIR data model and the relationships between clinical resources, ideally with experience developing products using EHR data at scale.

• Strong understanding of the AI developer ecosystem, including MCP servers, agent frameworks, prompt engineering, tool and skill registries, structured outputs and emerging AI development platforms.

• Proven experience building and managing developer-facing products, including SDKs, APIs, platforms or technical infrastructure.

• Demonstrated ability to operate at Staff or Principal level, owning product strategy from initial vision through execution, launch and ongoing optimization.

• Strong ability to translate complex clinical data into actionable insights, recommendations and next-best actions.

• Understanding of identity, consent, authorization, auditability and data provenance, particularly within healthcare or other highly regulated environments.

• Proven experience developing and managing strategic technology and ecosystem partnerships, ideally within healthcare or digital health.

• Excellent technical communication and stakeholder management skills, with the ability to collaborate closely with engineering teams and translate complex technical concepts into clear product requirements.

• A strong builder's mindset, with the ability to thrive in an early-stage environment, navigate ambiguity, make decisive product decisions, and move quickly from concept to production.

Benefits

• Salary: $200k - $250k.

• Equity.

• Comprehensive medical, dental and vision insurance.

• 401(k) and wellness benefits.

• Remote working options.

Our client, an early-stage HealthTech startup, is hiring a Senior Software Engineer to join their team in Manhattan, New York. The successful candidate will play a key role in building backend systems, helping make product decisions and turning emerging AI capabilities into software for healthcare teams across the U.S.


Responsibilities

• Design, develop and scale backend systems for an AI-powered healthcare platform.

• Own features from initial concept through to production.

• Work with users and the wider team to understand needs and shape product decisions.

• Research and test new AI capabilities, then turn promising approaches into reliable features.

• Help establish engineering practices as the team grows.

Skillset

• Bachelor's degree in computer science or similar.

• Strong backend engineering experience, ideally building a new product or scaling one through growth.

• Previous experience in a startup environment.

• Ability to work independently and make sound technical and product decisions.

• Experience building and scaling your own product is a bonus.

• Previous experience working in US healthcare or health technology would be an advantage.

Benefits

• Salary: $200k - $250k.

• Equity.

• Design, develop and scale backend systems for an AI-powered healthcare product.
• Collaborate with the CTO and wider team on technical and product decisions.
• Own features from initial concept through to production.
• Explore emerging AI capabilities and turn promising ideas into reliable features.
• Help shape engineering practices as the team grows.

• Bachelors degree in computer science or a related field.
• At least 3 years of backend engineering experience, ideally developing a new product or scaling one through growth.
• Experience working in a startup environment.
• Confidence working independently and making technical decisions.
• Experience building your own product.
• Previous experience working in US healthcare or health tech is a plus.

• Salary: $180k - $220k.
• Equity.

Our client, a global AI and data-driven company, are hiring a Head of Architecture and Engineering Operations to join their growing team in Dublin, Ireland. The successful candidate will shape how architecture and engineering operate across the organisation by defining the architecture operating model, setting engineering standards and leading the systems that enable teams to build and deliver at scale across cloud and AI-driven platforms.


Responsibilities

• Lead a globally distributed architecture team across multiple regions, setting clear governance structures, decision rights and architecture forums.

• Define architecture principles, standards, reference architectures, and decision frameworks, and mature the Architecture Review Board into a trusted, pragmatic governance function.

• Own and maintain the Technology Radar, guiding technology adoption, standardisation, experimentation and retirement across the organisation.

• Shape developer experience by improving tooling, golden paths, reusable patterns, AI-assisted engineering, documentation and delivery processes that increase speed and quality.

• Drive FinOps practices to improve cost transparency and optimisation across cloud and tooling spend, working closely with Finance and engineering teams to embed accountability and efficiency into delivery.

• Publish and drive adoption of engineering standards and reference architectures across the organisation.

• Establish and evolve cloud architecture patterns across AWS, Azure and Google Cloud.

• Align technical strategy with product and business roadmaps to ensure consistent delivery of outcomes.

• Support client-facing solution architecture, including strategic pursuits, solution design and technical leadership.

• Remain hands-on with key architectural decisions and complex design reviews to maintain technical credibility.

Skillset

• At least 10 years of experience in engineering, cloud, platform, or architecture leadership roles.

• A minimum of 5 years in senior or principal architecture positions.

• Proven experience leading globally distributed teams.

• Strong expertise in cloud architecture across AWS, Azure, or Google Cloud.

• Experience designing and operating enterprise-scale platforms, APIs, data systems, and AI-enabled solutions.

• Demonstrated experience in architecture governance or technical design authority roles.

• Track record of improving developer experience at scale through tools, processes, and platforms.

• Familiarity with AI-assisted engineering tools and modern development practices.

• Experience with FinOps, cloud cost optimisation, or financial management of technology spend.

• Strong client-facing experience, including pre-sales solution architecture and stakeholder engagement.

Benefits

• Salary: Circa €170k

• 15% Bonus.

• Private healthcare, life assurance and income protection.

• Strong pension scheme.

** Please Note** Candidates must already be eligible to work in the Republic of Ireland.

Our client, a leading financial services organization, is hiring a Software Engineer to join their team in New York. The successful candidate will develop the systems behind its systematic trading strategies and build high-performance applications for market data processing, research, forecasting and trade execution.


Responsibilities

• Develop low-latency applications that ingest and process large volumes of market data from global exchanges and vendors.

• Design and improve trading execution systems with a strong focus on speed, reliability, and correctness.

• Build C++ tools and libraries that help researchers develop and deploy statistical and machine learning models.

• Improve the performance and resilience of live production systems.

• Work with quantitative researchers to turn research ideas into scalable applications.

Skillset

• BA degree in Computer Science, Computer Engineering, Mathematics, Physics or similar.  

• Advanced C++ engineering experience, including building robust, maintainable production software.

• Strong knowledge of performance optimisation, distributed systems, and complex data pipelines.

• Ability to assess interconnected systems and make sound architectural decisions.

• Experience working on systems where correctness, reliability and recovery are critical.

• Own complex technical work and prioritise it according to business impact.

• Experience in financial markets is a bonus but not essential.

Benefits

• Salary: $275k - $350k

• Performance bonus.

Our client, a leading financial services company, are hiring a C++ Quantitative Research Engineer to join the team in New York City. The successful candidate will collaborate with quantitative researchers, engineers and traders to build high-performance applications, research platforms and trading systems that uncover and capture opportunities across global financial markets.


Responsibilities

• Develop and maintain high-performance applications using modern C++.

• Engineer low-latency systems capable of processing and normalising large volumes of market data.

• Integrate data feeds across global exchanges, vendors and multiple asset classes.

• Design and optimise high-frequency trading and execution platforms.

• Create scalable analytics libraries for quantitative research and real-time forecasting.

• Develop research tools using advanced statistical and machine learning technologies.

• Translate quantitative models into reliable, production-ready systems.

• Enhance the speed, resilience and accuracy of critical live-market platforms.

• Build and monitor distributed systems and complex data-processing pipelines.

• Partner with quantitative researchers, traders and engineers to deliver commercially valuable solutions.

Skillset

• Bachelor's, master's degree or PhD in Computer Science, Computer Engineering, Mathematics, Physics or similar.

• Extensive software engineering experience, including the development of production-grade systems using C++.

• Strong knowledge of modern C++, low-latency engineering and performance optimisation.

• Experience creating reliable, maintainable and high-performance software for business-critical environments.

• A thorough understanding of distributed systems, scalable architecture and complex data-processing pipelines.

• Ability to assess interconnected systems from first principles and deliver effective improvements.

• Experience enhancing established production platforms and designing new systems from the ground up.

• A rigorous approach to software correctness, system resilience, monitoring and fail-safe engineering.

Benefits

• Salary: $275k - $350k

• Performance bonus.

Our client, an AI-driven infrastructure company, are hiring a hands-on Head of Engineering to join their team in New York. The successful candidate will take ownership of the company's technical vision and architecture, helping the organization to build reliable, production-grade AI infrastructure designed to scale across increasingly complex enterprise environments.



Responsibilities

• Own the long-term technical strategy, architecture and engineering roadmap for the company's AI-native platform.

• Build, develop and lead a high-performing engineering team as the business scales.

• Establish engineering standards and development practices that promote quality, accountability and ownership.

• Lead the development of document processing, contract analysis, invoice verification and autonomous AI agent capabilities.

• Design scalable infrastructure for processing large volumes of structured and unstructured enterprise data.

• Ensure the platform remains secure, resilient, scalable and capable of meeting complex enterprise requirements.

• Partner with the CEO and commercial leadership to align technical priorities with customer needs and business objectives.

• Remain hands-on with architecture and complex technical decisions, providing guidance and challenge where required.

• Communicate the company's technical vision to customers, prospects, partners and investors.

• Balance rapid product development with the robust technical foundations required for long-term growth.

Skillset

• Extensive hands-on software engineering experience, with a strong track record of building and deploying production systems at scale.

• Experience working within an early-stage, high-growth or rapidly scaling technology company.

• Proven experience hiring, developing, and leading high-performing engineering teams.

• Strong expertise in designing, building, and operating production-grade AI and LLM applications.

• Hands-on knowledge of RAG, LLM orchestration, AI agents and evaluation frameworks.

• Experience developing data-intensive platforms that process large volumes of structured and unstructured data.

• Strong knowledge of backend architecture, data pipelines, distributed systems, and search technologies.

• Experience building enterprise software with a focus on security, compliance, integrations and multi-tenant architecture.

• The technical depth to review code, assess architectural decisions and work closely with senior engineers on complex challenges.

• Strong commercial awareness with the ability to translate business requirements and customer needs into an effective technical strategy.

Benefits

• Salary: $220k - $250k.

• Equity.

Our client, a growing HealthTech company, are hiring a Senior Full Stack Engineer to join their team In New York City. The successful candidate will develop the product experiences and shared infrastructure that power the platform, while also taking features from initial specification through to production and help shape the technical direction of a rapidly scaling healthcare product.


Responsibilities

• Develop and maintain reliable production applications across the full technology stack.

• Create responsive, user-friendly product experiences using React and TypeScript.

• Build scalable backend services with Node.js, TypeScript and Python.

• Manage features throughout the complete development lifecycle, from specification to deployment and ongoing support.

• Develop shared infrastructure that strengthens platform reliability and improves engineering productivity.

• Work with complex clinical data and connect the platform with EMR systems.

• Monitor system performance and optimize database queries, application efficiency and infrastructure costs.

• Enhance the quality, structure and maintainability of the existing codebase.

• Work closely with product, design and engineering teams to deliver effective solutions.

• Contribute to engineering standards and best practices as the organization continues to grow.

Skillset

• At least 5 years of experience building and deploying production web applications.

• Strong TypeScript expertise across frontend and backend development.

• Extensive hands-on experience developing modern applications with React.

• Backend development experience using Node.js, TypeScript or Python.

• A solid understanding of databases, query optimization and infrastructure costs.

• Proven experience managing features across the full development lifecycle.

• The ability to improve complex or established codebases without relying on unnecessary rewrites.

• Strong product judgement, with the ability to balance delivery speed, quality and long-term maintainability.

• Experience in healthcare, health technology or another regulated industry would be beneficial.

Benefits

• Salary: $180k - $225k.

• Equity.

Apply below or contact julia@alldus.com directly.