Arraylist Java Jobs in Usa

8116 - Midtown Office - 2220 W. Broad Street, Richmond, Virginia, 23220

CarMax, the way your career should be!

Essential Responsibilities:

• Identify new opportunities for ML and AI solutions and build and cultivate relationships with leaders across the organization to foster those partnerships
• Influence partners and stakeholders in Data Science and other teams across the organization to prioritize objectives and provide a comprehensive approach to solution recommendations that includes ROI, time to market, scalability as well as alternative recommendations
• Communicate effectively with senior leadership to share progress, raise any roadblocks or impediments to delivery, and also spread awareness of your teams’ achievements
• Create the strategic roadmap that will guide the direction and goals for the team, both in terms of individual project impacts but also overall standards for machine learning and AI utilization in the organization
• Empower your direct reports to lead their teams by providing them with the resources, training, feedback, and a sounding-board to be successful in their roles
• Develop people through effective communication and ongoing feedback
• Manage the budget of your area including budget planning and estimating costs of future development and tracking spend on an ongoing basis
• Create an inclusive and engaging culture for a team of remote and hybrid engineers with varying levels of experience
• Work through others to deliver resilient and scalable technology solutions that solve for complex business problems
• Help drive the broader understanding of the use of machine learning and AI by interfacing with key roles in Operations, Legal, Security, and Technology
• Stay on top of industry trends and best practices to continuously improve what we do and ensure our customer experience is the best it can be
• Quickly learning the CarMax technology standards and norms and ensuring that your teams follow best practices for change management, security, etc.
• This role will have on-call expectations to be available for major incidents and issues that affect your team’s applications.

Minimum Qualifications:

• Bachelor’s Degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Optional for sponsorship needs: Master’s Degree in Computer Science, Computer Engineering, or relevant technical field
• 10+ years of software-engineering experience in an enterprise-level environment in one or more of the following areas: machine learning/artificial intelligence, cloud computing, systems engineering
• 5+ years’ experience managing direct reports
• 5+ years’ experience with microservices software architecture
• 5+ years leading the end-to-end design and development of scalable services to be consumed by the enterprise, including monitoring and production support
• 5+ years’ experience building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies
• Demonstrated ability to provide vision for the Cloud Engineering, Software Engineering, and Machine-Learning spaces and inspire teams towards the future
• Proven ability to strategically prioritize by balancing business delivery and value generating work with technical debt and engineering excellence
• Proficient in developing in Python
• Experience with scripting languages such as shell scripts
• Experience in DevOps practices, testing frameworks, and CI/CD
• Experience with Model Development and Deployment (MLFlow, Azure ML)
• Experience with container orchestration (Kubernetes, Docker)
• Experience communicating and working across functions to drive organization-wide solutions

Preferred Qualifications:

• Previous experience deploying large-scale applications on Azure
• Familiarity with MLOps and industry-standard machine-learning Python libraries
• Experience with Azure AI services (Azure Machine Learning, Azure Cognitive Services)
• Advanced AI/ML specializations (reinforcement learning, deep learning, NLP)
• Proficient in an object-oriented programming language (i.e. C#, Java)
• Experience using large language models (LLMs) with semantic search frameworks for chatbot implementations

Software Specific Qualifications:

• Experience building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies
• Proficiency developing and debugging in Python
• Experience with Model Development and Deployment (MLFlow, Azure ML)
• Experience with Azure AI services (Azure Machine Learning, Azure Cognitive Services)
• Experience with scripting languages such as shell scripts
• Experience in DevOps practices, testing frameworks, and CI/CD
• Proficiency in version control systems (Git) for AI/ML model versioning
• Experience with container orchestration (Kubernetes, Docker)

Wakefern Food Corp. is the largest retailer-owned cooperative in the United States and supports its co-operative members' retail operations, trading under the ShopRite®, Price Rite®, The Fresh Grocer®, Dearborn Markets®, and Gourmet Garage® banners.

Employing an innovative approach to wholesale business services, Wakefern focuses on helping the independent retailer compete in a big business world. Providing the tools entrepreneurs need to stay a step ahead of the competition, Wakefern’s co-operative members benefit from the company’s extensive portfolio of services, including innovative technology, private label development, and best-in-class procurement practices.

About You

We are seeking a skilled and motivated COBOL Programmer to join our technology team supporting the Merchandising and Finance departments. This role is ideal for someone with strong mainframe development experience who thrives in a collaborative environment and is passionate about delivering reliable, scalable solutions.

Key Responsibilities

• Develop, maintain, and support mainframe applications using COBOL, CICS, JCL, SQL, and DB2.
• Collaborate with business analysts and stakeholders to gather and analyze requirements.
• Design and implement efficient database structures and queries to support business processes.
• Provide production support, troubleshoot issues, and implement timely fixes and enhancements.
• Participate in code reviews and contribute to continuous improvement initiatives.
• Document technical specifications and maintain system documentation.
• Work closely with cross-functional teams to ensure seamless integration of systems and data.

Required Qualifications

To be considered for this role, candidates must meet the following minimum requirements:

• Bachelor’s Degree in Computer Science, Information Systems, or a related field, or equivalent professional experience.
• Proven experience in software development, including:
• Requirements analysis
• Relational database design
• Production support and troubleshooting
• 5+ years of hands-on experience with mainframe technologies:
• COBOL
• CICS
• JCL
• SQL & DB2
• Strong problem-solving skills and the ability to recommend effective solutions.
• Excellent verbal and written communication skills.
• Demonstrated ability to write clean, readable, and maintainable code.
• Self-motivated with a strong desire to learn and grow professionally.

Preferred Qualifications

• Experience with Java or other modern programming languages is a plus.
• Familiarity with Agile methodologies and DevOps practices is advantageous.

Working Conditions

Location: Edison, NJ Tech Office

Onsite: 4 days per week

Remote: 1 day per week

Our client, a large, complex enterprise organization, is looking for a Principal AI Engineer to serve as the lead architect and hands-on builder of a unified AI Platform as a Service (PaaS) a secure, multi-tenant foundation that helps internal teams build and operate semantic discovery, conversational experiences, and autonomous agent workflows at scale.

Summary:

The Principal AI Engineer will design and build an enterprise-grade “AI operating layer” that turns modern foundation model capabilities into a governed, reusable platform used across multiple business domains. This role balances approximately 40% hands-on development with 60% platform strategy, personally building core orchestration services, standardized capability interfaces, and trust/safety guardrails. The platform will enable teams to deploy specialized agents that can collaborate via defined protocols, securely access grounded knowledge sources, and execute autonomous tasks within a controlled, high-availability runtime.

Location: Remote (U.S.) / Hybrid options may be available based on client needs.

Compensation Range: $145,000 - $250,000 per year plus RSUs & Bonus

Benefits: Very competitive benefits

Responsibilities

• Architect and deliver a self-service AI platform that provides reusable patterns, reference implementations, and standardized building blocks for internal engineering teams.
• Define and communicate a multi-year platform roadmap, ensuring technical priorities map to enterprise outcomes and adoption goals.
• Design and implement stateful orchestration (state graphs/state machines) to handle planning edge cases, recovery, and self-correction in autonomous workflows.
• Build and operate secure remote tool gateways (e.g., MCP-style servers) and implement controlled function-calling interfaces for connecting agents to sensitive enterprise systems.
• Establish interoperability standards for agent-to-agent collaboration, enabling autonomous discovery and reliable task handoffs across independently built agent solutions.
• Design an agent identity and authorization layer that supports fine-grained permissions, auditable actions, and strong accountability for autonomous behaviors.
• Implement a unified knowledge layer using semantic retrieval and multimodal grounding to support accurate, “source-aligned” responses and decisions.
• Build long-term context persistence (“memory”) using retrieval and graph-based storage to preserve institutional knowledge and improve continuity over time.
• Create a trust and evaluation layer with automated testing pipelines to measure quality, safety, cost, latency, and reliability of agent behavior across tenants.
• Own runtime lifecycle management for agent sessions, ensuring high availability, persistence, scalability, and controlled rollout patterns.
• Lead deep code reviews focused on agent-specific failure modes (runaway loops, tool misuse, state growth, unreliable calling patterns) and implement mitigations.
• Optimize inference performance and spend through techniques such as prompt caching, model routing, and workload-aware runtime strategies.
• Act as a technical multiplier by mentoring senior/staff engineers on advanced agentic patterns, evaluation methods, and production hardening.
• Partner closely with Cloud and Infrastructure teams to influence enabling services and platform primitives needed for enterprise AI delivery.
• Raise the bar on engineering quality via documentation, profiling, reliability improvements, and ongoing performance tuning.

QUALIFICATIONS:

Required:

• 10+ years of software engineering experience, including 4+ years operating at a Principal/Architect level.
• 2+ years architecting and shipping LLM-based systems, with demonstrated experience taking agentic solutions into production at scale.
• 5+ years working in agile delivery environments.
• Google Cloud Professional Cloud Architect certification.
• Proven ability to lead technical workstreams and translate business needs into durable platform architectures.
• Strong expertise in asynchronous orchestration (e.g., Python) plus proficiency in a statically typed language (Java, Go, or Rust) for high-concurrency platform services.
• Hands-on experience with stateful graph orchestration patterns and frameworks (e.g., LangGraph/ADK-style approaches) to power robust reasoning workflows.
• Strong cloud-native experience with CLI tooling and Infrastructure-as-Code; proven ability to deploy and scale containerized workloads using container orchestration and serverless platforms.
• Experience designing and operating distributed architectures at scale, including vector stores, graph databases, and structured data pipelines.
• Deep knowledge of multi-agent design patterns and the ability to extend or replace off-the-shelf orchestration when scaling, safety, or reliability requires it.
• Working understanding of modern agent reasoning approaches (Chain-of-Thought, ReAct, Tree-of-Thoughts, Self-Reflection) and when to apply them.
• Experience supporting very high request volumes and/or extremely large datasets in production environments.
• Expertise building semantic retrieval layers, attribute-aware discovery, and stateful persistence for long-lived agent context.
• Strong understanding of MCP-style tool protocols, agent-to-agent interaction patterns, REST/gRPC APIs, OAuth2, and function-calling mechanics.
• Familiarity with microservices architecture patterns and distributed systems best practices.
• Ability to implement observability for agentic systems, including traceability/telemetry and debugging methods for multi-step reasoning and handoffs.
• Awareness of global AI regulations (e.g., EU AI Act) and ability to translate requirements into technical controls and platform governance.
• Strong written and verbal communication skills across technical and business audiences.
• Calm, decisive execution in high-pressure or incident scenarios.
• Highly organized, self-directed, detail-oriented, and effective with limited supervision.
• Ability to support off-hours work as needed, including rotational on-call, weekends, and holidays.

Preferred:

• Bachelor’s or Master’s in Computer Science, AI, or a related field.
• PhD in AI, Distributed Systems, or Cognitive Science.
• Google Cloud Professional Machine Learning Engineer certification and/or specialized certifications in multi-agent systems/autonomous reasoning.
• 3+ years working with distributed caching technologies.
• Experience provisioning and configuring cloud platform resources at scale.
• Experience supporting consumer-facing digital or commerce environments.
• Proficiency with Google Workspace (Sheets, Docs, Slides, Gmail).

About Hansell Tierney:

Hansell Tierney is one of the premier staffing and recruiting companies in the Pacific Northwest. Launched in 2001, we are a woman-owned business that serves and staffs Northwest organizations by doing things the right way, not just the easiest way. Hansell Tierney partners with candidates and clients to match the best candidates with interesting local opportunities. We navigate every relationship with the highest level of discretion and service while holding ourselves accountable to our promises. Our business thrives on our deep understanding of the job market and our ability to skillfully tailor our recruitment process to meet our clients’ unique needs.

A Full Stack Developer is responsible for designing, developing, and maintaining both front-end and back-end components of web applications. This role requires proficiency in a wide range of programming languages, frameworks, and tools, enabling the developer to deliver seamless and efficient user experiences while ensuring robust server-side functionality.

Key Roles

• Front-End Development: Build and maintain user interfaces using modern frameworks such as React, Angular, or Vue.js and Static Web Apps.
• Back-End Development: Design and implement server-side logic, APIs, and databases using languages such as Node.js, Python, Java, or .NET.
• Collaboration: Work closely with UX/UI designers, product managers, and other developers to translate requirements into technical solutions.
• Cloud Development: Use Azure cloud to develop end to end applications to support data sceince projects.
• Testing and Debugging: Write and execute unit, integration, and end-to-end tests; identify and resolve bugs in both front-end and back-end code.
• Deployment: Manage application deployment, monitoring, and scaling using cloud services or on-premises infrastructure.
• Continuous Improvement: Stay up to date with industry trends, best practices, and emerging technologies to continuously improve application performance and development processes.

Responsibilities

• Develop, test, and maintain scalable web applications from concept through deployment.
• Design and manage databases, ensuring data integrity and security.
• Integrate third-party APIs and services as required by project needs.
• Familiarity working with data science teams to develop dashboards and applications.
• Write clean, maintainable, and well-documented code adhering to team standards.
• Participate in code reviews and provide constructive feedback to peers.
• Troubleshoot, debug, and upgrade existing applications.
• Optimize applications for maximum speed and scalability.
• Ensure cross-platform compatibility and responsiveness of applications.
• Collaborate in agile development teams, participating in sprint planning, stand-ups, and retrospectives.
• Contribute to the design and implementation of DevOps practices, including CI/CD pipelines.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience).
• Proficiency in front-end technologies such as HTML, CSS, JavaScript, and modern JavaScript frameworks.
• Strong background in Azure full stack development.
• Strong experience with back-end programming languages and frameworks.
• Knowledge of database management systems (SQL and NoSQL).
• Familiarity with version control systems, preferably Git.
• Experience with RESTful API design and integration.
• Excellent problem-solving and communication skills.
• Ability to work independently and as part of a collaborative team.
• 2+ years of experience.

Preferred Skills

• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Understanding of containerization and orchestration tools (e.g., Docker, Kubernetes).
• Knowledge of security best practices in web development.
• Familiarity with Agile methodologies.

Job Title: Sailpoint Engineer/Developer

Location: Remote/Chicago, IL or Dallas, TX

Duration: 06 months+

Contract Description:

• Design and implement identity governance and administration (IGA) solutions using SailPoint, including Identity Security Cloud (ISC).
• Customize workflows, rules, certifications, and lifecycle processes to meet business and security requirements.
• Integrate SailPoint (ISC, IdentityIQ, and/or IdentityNow) with enterprise applications, directories, and target systems.
• Ensure compliance with security, audit, and regulatory standards related to identity and access management.
• Enhance overall security posture and user experience through optimized identity lifecycle and access governance.

Qualifications:

• Proven experience as a SailPoint Developer in an enterprise IAM/IGA environment.
• Strong hands-on experience with SailPoint Identity Security Cloud (ISC) and IdentityIQ and/or IdentityNow.
• Experience customizing workflows, connectors, and integrations using Java, Beanshell, and REST APIs.
• Solid understanding of identity governance, access controls, and compliance frameworks.
• Must be able to work onsite the first week in either Dallas, TX or Chicago, IL.

Build and scale enterprise Kafka infrastructure using Confluent Cloud and Platform across hybrid environments. Design event-driven architectures, automate deployments with Terraform/CI/CD, optimize performance, ensure security compliance, and troubleshoot distributed streaming systems at scale.

Must Have:

• 5+ years Kafka (2+ years Confluent Cloud/Platform, Kafka Connect, Schema Registry, ksqlDB)
• Expertise in hybrid cloud Kafka deployments (AWS/Azure/GCP + on-prem)
• Strong automation (Terraform, Ansible, Jenkins) and programming (Java, Python, Scala)
• Experience with monitoring/troubleshooting distributed systems (Splunk, Datadog, Prometheus)
• Security expertise (Kerberos, SSL, RBAC) and compliance knowledge (GDPR, SOC, PCI)

You'll Build: Scalable Kafka clusters • Event-driven architectures • Automated CI/CD pipelines • Observability frameworks • Secure, compliant streaming platforms.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

A little about us...

Role: Mobile Automation Testing Lead

Location: Detroit, MI (Hybrid- 3 days/week)

Job Description:

Key Responsibilities

• Experience: 10–14 Years.
• Define and own the mobile test automation strategy for iOS and Android applications
• Lead automation design, framework selection, and implementation
• Manage and mentor a team of mobile QA and automation engineers
• Collaborate with onsite development, DevOps, and product teams
• Design and maintain scalable, reusable automation frameworks
• Drive automation for functional, regression, smoke, and sanity testing
• Integrate automation suites into CI/CD pipelines
• Ensure coverage across real devices, emulators, and cloud device farms
• Review test cases, automation scripts, and execution reports
• Track quality metrics, defect trends, and release readiness
• Handle production issues, defect triage, and root cause analysis
• Ensure compliance with quality standards, processes, and best practices

Technical Skills

• Strong experience in mobile automation tools (Appium, Espresso, XCUITest)
• Proficiency in Java, Python, or JavaScript for automation scripting
• Experience with BDD frameworks (Cucumber, TestNG, JUnit)
• Hands-on knowledge of API testing and backend validation
• Experience with cloud testing platforms (BrowserStack, Sauce Labs, Firebase Test Lab)
• Familiarity with CI/CD tools (Jenkins, Azure DevOps, GitHub Actions)
• Knowledge of performance and security testing

Non-Technical Skills

• Strong onsite coordination and leadership abilities
• Excellent communication with clients, business users, and technical teams
• Experience in Agile QA processes and sprint-based delivery
• Ability to influence quality culture and drive shift-left testing

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

Hiring: Sr Project Engineer / Technical SW Project Manager – Medical Device

Location: Minneapolis, Minnesota (Fully Onsite)

Type: W2 (Contract to Hire)

We are hiring a Senior Software Engineer (Mobile Project Lead) to drive end-to-end delivery of mobile software releases for an innovative company. This role blends hands-on Android development with technical project leadership in a regulated medical device environment.

Key Responsibilities:

Own complete mobile software release execution

Lead backlog refinement, sprint planning & release planning

Translate product requirements into structured user stories

Track Agile metrics and drive execution discipline

Collaborate with Product, Dev & Test teams

Ensure compliance with quality systems & regulatory standards

Must-Have Skills:

8+ years of mobile application delivery experience

Strong Android development (Kotlin or Java)

Hands-on mobile software development experience

Experience in Agile/Sprint environments

Backlog management & release ownership

Technical software project management

Mobile testing & quality practices

Strong leadership & cross-functional collaboration.

Nice to Have:

Kotlin Multiplatform (KMM)

DevOps tools (GitHub, GitLab)

CI tools (Jenkins, Bamboo)

Experience with iOS

ALM tools like PTC Codebeamer.

Title: Senior Technical Support Engineer (Care Delivery)

Employment Type: 6-Month Contract-to-Hire

Start Date: ASAP

Work Model: Hybrid – 3 days onsite required

Eligible Locations: Boston, MA | Raleigh, NC | Dallas, TX | Waterloo, Ontario (Canada)

Compensation: 65-68/hr

About the Role

We are hiring a Senior Technical Support Engineer to support a complex production application environment focused on care delivery workflows. This is a hands-on troubleshooting role for someone who enjoys diagnosing real system problems — not a developer stop-gap role.

You will investigate live production issues, analyze application behavior, read backend code, execute SQL queries, and either resolve problems directly or partner with engineering teams to drive fixes.

The ideal candidate is a career technical support professional who takes ownership of issues and thrives in a high-impact operational environment.

What You’ll Do

• Reproduce and diagnose complex production issues
• Read and interpret object-oriented backend code
• Execute advanced SQL queries to validate system behavior
• Identify root cause and resolve issues when possible
• Escalate bugs to engineering with clear technical documentation
• Support ongoing operational stability of the platform
• Work within ticketing systems to manage incidents
• Improve support tooling and workflows
• Collaborate cross-functionally with engineering and operations teams

Required Qualifications

Technical

• Strong object-oriented programming background in Java, Go, or Python (must be strong in at least one)
• Advanced SQL querying skills
• Application-level troubleshooting experience
• Ability to read and debug code (not just run scripts)
• Experience working within ticketing/incident systems

Preferred Qualifications

• Experience as a Senior/Staff/Principal Technical Support Engineer
• Python scripting or automation experience
• Exposure to AI workflow optimization
• Healthcare or life sciences industry experience (nice to have)

Ideal Candidate Profile

• Senior application support engineer (career support track)
• Comfortable reading production code daily
• Strong ownership mindset — drives problems to resolution
• Not a developer seeking a temporary role
• Enjoys deep troubleshooting and operational stability work

Additional Details

• 6-month contract to hire
• Hybrid (3 days onsite required)
• Candidates must reside in Boston, Raleigh, Dallas, or Waterloo
• Immediate start preferred

Technical Lead / Platform Engineer

GenAI Healthcare SaaS Platform

Palo Alto, CA (Hybrid – 3 days onsite)

About the Role

We’re building a next-generation generative AI platform purpose-built for healthcare — and we’re looking for a hands-on Technical Lead to help architect and scale it from the ground up.

This is not a “manage from a distance” role. You’ll be deeply involved in system design, writing production code, guiding engineering direction, and making foundational technical decisions that shape the future of the platform. You’ll work closely with leadership and product to turn complex healthcare AI requirements into scalable, reliable infrastructure.

If you’ve led engineering efforts for production-grade AI systems and enjoy building high-performance teams and platforms, we’d love to talk.

What You’ll Own

• Architect and evolve the core infrastructure for a scalable AI-powered SaaS platform
• Lead development of backend services and ensure clean integration across systems
• Write high-quality, maintainable code with long-term scalability in mind
• Establish engineering best practices across architecture, CI/CD, monitoring, and DevOps
• Guide and mentor engineers while maintaining a strong individual contributor presence
• Define infrastructure automation strategies (IaC, provisioning, deployment workflows)
• Drive performance, reliability, and observability standards
• Partner with product and leadership to translate vision into executable technical milestones

What We’re Looking For

Core Experience

• 8+ years building and shipping production software
• Prior experience leading engineering initiatives or managing technical direction
• Proven track record scaling a generative AI system or AI-enabled platform in production
• Strong backend engineering background in Python
• Additional proficiency in TypeScript or Java
• Experience with a modern compiled language such as Go or Rust
• Deep knowledge of microservices architecture and RESTful API design
• Hands-on expertise with one major cloud provider (AWS, GCP, or Azure)
• Strong experience with Infrastructure as Code (Terraform preferred)
• Advanced DevOps knowledge: CI/CD, automated deployments, monitoring, alerting
• Experience containerizing and orchestrating services with Docker and Kubernetes

Leadership & Execution

• Comfortable setting technical direction while staying hands-on
• Strong communicator who can explain complex systems clearly
• Experience mentoring engineers and elevating engineering standards
• Ability to operate in a fast-moving, startup environment

Nice to Have

• Experience building or deploying ML/AI systems (TensorFlow, PyTorch, etc.)
• Strong GCP background (bonus if you’ve worked across AWS/Azure as well)
• Familiarity with frontend frameworks like React, Angular, or Vue
• Experience working in healthcare, health tech, or regulated industries

Work Environment

This role is based in Palo Alto with a hybrid schedule (3 days per week onsite). We provide daily meals and foster a collaborative, high-performance engineering culture.

Compensation & Benefits

• Base salary range: $220,000 – $280,000, depending on experience and location
• Meaningful equity package
• Medical, dental, and vision coverage
• Flexible hours
• Hybrid work environment
• Opportunity to help shape the future of AI in healthcare

If you're excited about building a production-grade AI platform that directly impacts patient outcomes — and want to help define the technical foundation of a category-defining company — let’s talk.