AI Engineer Jobs

Our client, an early-stage AI Startup, is hiring a Lead Product Engineer to join their team in New York. The successful candidate will develop production systems across conversational AI, real-time voice, intelligent retrieval and technician-facing applications, as well as own solutions from understanding operational challenges through to deployment and continuous improvement.


Responsibilities

• Build platform functionality for customer calls, diagnostics, work order management and technician dispatch.

• Develop real-time conversational agents supporting speech-to-speech interactions with technicians over voice and video.

• Deploy AI agents that engage in customer conversations across multiple channels and respond with relevant actions.

• Create and maintain production APIs and backend services supporting the field service platform.

• Build diagnostic retrieval systems using graph databases, vector search and Model Context Protocol (MCP).

• Develop dashboards and internal tools that help customers and colleagues monitor platform activity.

• Create technician-facing interfaces that provide clear, accessible diagnostic guidance in the field.

• Collaborate directly with customers and the founding team to identify challenges, ship solutions and improve features through practical feedback.

Skillset

• A track record of delivering LLMs or AI agents into production environments.

• Strong coding skills in TypeScript and Python.

• The ability to turn operational requirements into dependable, production-ready software.

• An independent approach, with confidence owning development from initial concept through to release.

• A proactive mindset and the flexibility to deliver quickly as priorities change.

• A focus on customer outcomes and improving day-to-day operations for technicians and service teams.

Benefits

• Salary: $180k - $210k.

Our client, an early-stage AI Startup, is hiring a Product Engineer to join their team in New York. The successful candidate will collaborate with the founders, engineering team and customers, owning features from understanding operational needs through to development, rollout and continuous improvement.


Responsibilities

• Build software workflows supporting customer calls, diagnostics, work orders, scheduling, dispatch, parts management and technician activities.

• Develop and launch AI agents and automation for voice, messaging and day-to-day operations.

• Design and maintain APIs, data models, integrations, dashboards and internal applications for production use.

• Engage directly with customers to identify challenges and turn their requirements into effective software.

• Take ownership of features from initial discovery through development, deployment, measurement and refinement.

• Improve platform reliability, monitoring and observability as demand increases.

• Partner with the founders and engineering team to define and deliver product enhancements.

Skillset

• Minimum of 2 years' professional experience in software engineering.

• Strong coding skills in TypeScript, with the ability to work confidently across frontend and backend development.

• Proven experience building and releasing software used in production.

• An independent, proactive approach, with the ability to own delivery and work at startup pace.

• A focus on solving customer problems and delivering measurable results.

• The flexibility to work across different technologies and respond to changing priorities.

• Experience bringing LLMs or AI agents into production is desirable.

• Knowledge of React, Python, real-time systems, voice technologies, mobile development, graph databases or external integrations is a plus.

Benefits

• Salary: $160k - $210k.

Our client, an early-stage AI Software company, is hiring a Senior AI /Machine Learning Platform Engineer to join their team in New York City. The successful candidate will develop the models and infrastructure powering diagnostics and customer experience, building shared AI capabilities across voice, chat and other agent workflows while taking ownership from data processing and model development through to deployment and continuous improvement.


Responsibilities

• Develop and operate machine learning infrastructure supporting search, retrieval, indexing, training, evaluation, inference and model deployment.

• Build and refine models for diagnostics, fault prediction, parts selection, ranking, information extraction and customer-support automation.

• Develop shared capabilities for voice and chat agents, covering context, memory, knowledge retrieval, tools, policies and continuity across channels.

• Create data and feedback pipelines drawing on service histories, technical documentation, equipment data, conversations, images and repair results.

• Maintain reliable distributed services, data pipelines, search systems and live inference through performance monitoring, capacity planning and failure recovery.

• Design evaluation frameworks that link model accuracy and retrieval quality to customer experience and repair outcomes.

• Turn conversation data, agent activity and human feedback into ongoing improvements to models and agent performance.

• Strengthen engineering workflows through automated testing, CI/CD, observability, reusable infrastructure and controls for AI-generated code.

• Collaborate with product engineers and domain experts to bring fast, explainable and dependable AI features into production.

• Make practical architecture decisions around internal development, third-party solutions, compute, storage, model providers and open-source tools.

Skillset

• At least 5 years' professional experience in software or machine learning engineering, including delivery of production systems.

• Strong coding skills in Python and TypeScript, with confidence working across models, backend systems, data platforms and cloud infrastructure.

• Sound knowledge of modern search and ML systems, including retrieval, indexing, evaluation, deployment and the challenges of models running in production.

• A strong understanding of distributed systems, performance tuning, reliability, observability and infrastructure costs.

• Experience applying AI development tools to increase productivity while maintaining engineering standards.

• The flexibility to move between research, infrastructure and product development as priorities evolve.

• An interest in creating reusable AI capabilities across diagnostics, customer support and multiple communication channels.

• A proactive approach, strong ownership and a focus on delivering measurable value to customers.

• Experience with ranking, recommendation engines, vector or graph search, multimodal models or real-time inference is desirable.

• Familiarity with ML platforms, evaluation frameworks, developer tools, GPUs, inference optimization, infrastructure as code or incident response would be an advantage.

Benefits

• Salary: $210k.

• Equity.

Our client, an early-stage AI Startup, is hiring an Agent Platform Engineer to join their team in New York City. The successful candidate will lead the development of production voice agents, create reliable, natural customer interactions and build shared tools, memory and infrastructure to support agents across the wider platform.


Responsibilities

• Develop and maintain production voice agents that handle inbound and outbound customer interactions.

• Refine conversational performance, including instruction adherence, turn-taking, interruptions, pacing, pronunciation and audio quality.

• Optimize response times across telephony, speech recognition, model processing, tool execution and speech generation while preserving accuracy and reliability.

• Build and manage infrastructure for call routing, queues, transfers, recordings, webhooks and failover.

• Create reusable agent capabilities for shared context, instructions, tools, memory, policies, identity and action execution.

• Connect agents with scheduling, diagnostic, CRM and operational platforms, ensuring reliable handling of retries, partial failures and ongoing workflows.

• Develop automated evaluations, simulations and regression tests to assess task completion, policy compliance, latency, audio quality and escalation to human teams.

• Establish monitoring and diagnostics using conversation traces, transcripts, audio events, failure analysis and alerts.

• Work closely with product and customer teams to assess real conversations, identify issues and implement improvements.

• Help define the architecture and development roadmap for the company's unified agent platform.

Skillset

• At least 2 years of experience in professional software engineering.

• A track record of building and deploying backend, real-time, telephony or conversational systems in production.

• Strong coding ability in TypeScript or Python.

• Sound knowledge of asynchronous processing, streaming, distributed systems and observability.

• The ability to balance low latency with reliable execution, instruction adherence and natural conversation.

• Confident debugging skills across application code, model responses, audio pipelines and customer configurations.

• An interest in developing reusable agent functionality that works across different channels.

• A proactive mindset, clear communication skills and the ability to take ownership in a fast-paced startup.

• Experience with Twilio, SIP or contact-centre infrastructure is desirable.

• Familiarity with LLM agents, streaming speech recognition, text-to-speech, real-time model APIs, evaluation frameworks or human handoff workflows.

Benefits

• Salary: $160k - $210k.

Our client, an early-stage AI Startup, is hiring a Forward Deployed Analyst to join their team in New York City. The successful candidate will manage the full customer journey, from technical demonstrations and implementation to adoption, retention and account growth, working closely with product and engineering teams to embed the platform into each customer's operations.


Responsibilities

• Develop customised demos, prototypes and proofs of concept that support sales and show the platform's value.

• Run technical discovery sessions to assess customer needs and define deployment requirements.

• Manage onboarding from contract signing through product configuration, integration and launch.

• Configure the platform around each customer's workflows, dispatch operations and business requirements.

• Help customers adopt the platform through practical training, regular engagement and ongoing support.

• Track account performance, manage escalations and address potential retention risks early.

• Use customer data to demonstrate ROI and uncover opportunities to grow existing accounts.

• Troubleshoot technical problems, document bugs clearly and work with engineering to resolve them.

• Turn customer insights and feedback into recommendations for product improvements.

• Create repeatable onboarding, training and customer success processes to support future growth.

Skillset

• Previous experience in solutions engineering, technical customer success or a comparable customer-facing technical position.

• Proven ability to manage customer relationships from initial demonstrations through implementation and ongoing adoption.

• Experience developing technical demos or proofs of concept that help secure new business.

• Strong technical understanding, with the ability to read code, use APIs and assess system architecture.

• Experience delivering enterprise implementations and establishing processes from the ground up.

• Clear, confident communication skills across technical and business audiences.

• A proactive, structured approach to solving problems, maintaining documentation and following up with customers.

• Commercial judgement and the ability to link platform usage to measurable customer value.

• Ability to thrive in a fast-paced startup, working independently and taking responsibility for results.

• Ambition to establish a new function, build a team and progress into a leadership role.

Benefits

• Salary: $160k - $210k.

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.