As an AI Engineer, you build customer-facing platform capabilities and AI-powered solutions that solve real business problems, working directly with Product Management, Customer Success, and enterprise customers.
Locations (5)
Irvine, California, United States
New York, New York, United States
California, United States
Spain, Spain
India
Compensation
Compensation Range: $180K - $250K
Responsibilities
Building customer-facing capabilities across our Enterprise Agent Platform, including agent orchestration, workflow execution, enterprise integrations, knowledge management, and administration.
Developing production-ready AI workflows and reusable platform services that power enterprise solutions across multiple industries.
Designing trusted AI capabilities including evaluation, verification, observability, provenance, and human-in-the-loop workflows.
Building intuitive developer and user experiences that simplify how enterprise customers create, configure, and operate AI agents.
Working directly with enterprise customers to understand their business problems, rapidly prototype solutions, and turn successful implementations into reusable platform capabilities.
Lead and develop the design and development of scalable, AI-enabled applications using Python and React.js, architecting cloud-native solutions on Azure.
Responsibilities
Lead and develop the design and development of scalable, AI-enabled applications using Python.
Own the end-to-end lifecycle of solutions, ensuring seamless integration, scalability, and performance.
Architect and maintain robust backend services using Python (e.g., FastAPI), with a focus on performance and security.
Build intuitive front-end interfaces using React.js to deliver seamless user experiences.
Apply best practices to develop secure, cloud-native solutions aligned with real-world use cases (Azure Cloud).
A Product Engineer role focused on software engineering, driving business outcomes through hands-stack development and AI tools within an autonomous pod.
Compensation
$74.00-$79.00 Per Hr
Responsibilities
Build and deploy full-stack implementations from design to production.
Utilize AI-assisted development tools to enhance coding efficiency.
Deliver clean, maintainable code across front-end and back-end systems.
Design system architectures that scale across enterprise workloads.
Provide technical leadership and validate complex codebases.
Responsible for embedding Operations management and EHS reporting technology within client organizations by providing a range of services across the full project lifecycle.
Responsibilities
Accountability for leading digital EHS and ESG management software implementations within large organizational programs.
Leading teams or sub-teams including clear delegation of work, quality assurance, mentoring and upskilling of consultants.
Leading system requirements and design workshops and documenting design specifications (technical writing).
Managing and developing client relationships to grow revenue generation opportunities with those customers.
Managing quality of configured applications through unit testing and formal user acceptance testing including preparation of test scripts.
A 6-month co-op program for early talent to work on production-ready AI solutions, data analytics, and transformation strategies to drive actionable insights.
Locations (3)
Needham, Massachusetts, United States
Miami, Florida, United States
New York, New York, United States
Compensation
Ranges from $30 - $36
Responsibilities
Own the end-to-end scoping, analysis, and delivery of a defined business problem, from data gathering through insight communication
Design, iterate and document AI prompts and workflows; take ownership of data preparation pipelines for assigned projects
Build and maintain dashboards, reports, or models that are actively used by internal teams
Identify trends, patterns, and insights within datasets and translate them into actionable recommendations
This role involves working closely with business and technology teams to develop scalable and secure applications that meet client requirements, specifically focusing on serverless computing, API development, and front-end frameworks.
Responsibilities
Develop and maintain serverless applications using Azure Functions, integrating with APIs, databases, and other Azure services.
Design and implement responsive, dynamic, and scalable front-end applications using Angular (latest versions).
Work on back-end development using Node.js, .NET, or Python for Azure Functions, ensuring high performance and low latency.
Build and optimize RESTful APIs and microservices architecture.
Implement CI/CD pipelines for seamless deployment on Azure using tools like Azure DevOps, GitHub Actions, or Jenkins.
Senior Software Engineer responsible for design, delivery, and operation of business-critical, distributed systems within the healthcare technology space.
Compensation
The typical pay range for this role is: $83,430.00 - $203,940.00
Responsibilities
design, delivery and operation of business-critical, distributed systems
build and sustain innovative solutions
ship and operate large-scale systems
Requirements
Bachelors of Science in Computer Science or a related field or equivalent work experience
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