Design and build the foundational systems that power AI agent platforms — from agent orchestration runtimes and sandboxed execution environments to inference routing layers, SDK tooling, and developer-facing APIs.
Compensation
California $73,800 to $220,400
Responsibilities
Design and build agent orchestration runtimes
Implement sandboxed execution environments with declarative policy enforcement
Develop pluggable provider interfaces for sandbox backends
Build Python and Node.js/TypeScript SDKs and CLIs
Design REST, gRPC, and event-streaming APIs
Requirements
Bachelor's degree in Computer Science, Computer Engineering, or a related field
Master's or PhD in Computer Science, Computer Engineering, or a related field
Serve as Business Analyst and Data Analyst to assist in the delivery of technology solutions for the agency, focusing on Data Governance and Business Process Reengineering.
Responsibilities
Plan, implement and maintain solutions to make DEQ operations more efficient and effective
Perform business process reengineering, requirements development, testing and implementation activities
Provide Data Governance support
Serve as a liaison between Office of Information Systems and the Business
Senior Software Engineer, AI and Data Solutions, designs and delivers production-grade software, data, and AI-enabled solutions across the organization’s business lines.
Responsibilities
Design, build, test, deploy, and operate scalable software and data solutions using modern engineering practices.
Lead the implementation of complex application components, APIs, microservices, data-processing pipelines, and event-driven integrations.
Translate business and technical requirements into clear solution designs, implementation plans, technical specifications, and engineering tasks.
Build batch and real-time data-processing solutions that ingest, validate, transform, reconcile, enrich, and distribute structured and unstructured data.
Design and implement Customer Data Platform and customer-data capabilities, including profile creation, identity matching, profile unification, segmentation, consent and preference management, and downstream activation.
Requirements
Bachelor’s or master’s degree in computer science, software engineering, data engineering, information systems, or a related field.
The AI Solutions Engineer, builds, tests, and supports software and data components used in enterprise applications, customer-data solutions, and AI-enabled workflows.
Responsibilities
Develop, test, document, deploy, and maintain software components, application services, APIs, and data-processing workflows
Implement well-defined technical designs using established enterprise architecture and engineering patterns
Build batch and streaming data pipelines that collect, validate, transform, enrich, and distribute data
Support Customer Data Platform and customer-data use cases, including profile ingestion, data normalization and mapping, identity matching, profile enrichment, segmentation, consent processing, and downstream activation
Develop and maintain integrations between source systems, enterprise data platforms, Customer Data Platforms, AI services, and consuming applications
Requirements
Bachelor’s degree in computer science, software engineering, information systems, data engineering, or a related field, or equivalent practical experience
Implement and administer enterprise-wide document management systems and related procedures to capture, store, retrieve, share, and destroy business information in electronic and physical format.
Responsibilities
Implement and administer enterprise-wide document management systems
Participate in development, operations, and maintenance of a comprehensive Information Governance Program
Administer and execute firm’s retention and destruction policies
Conduct data analysis and propose solutions for remediating unstructured data
Advise firm personnel on appropriate data storage locations
Lead requirements analysis, solution design, development, testing, implementation, and production support of enterprise applications using Java, Spring Boot, and AWS.
Compensation
Pay Range: $45-$47/Hour on W2/C2C (All inclusive)
Responsibilities
Lead requirements analysis, solution design, development, testing, implementation, and production support of enterprise applications using Java, Spring Boot, and AWS.
Design and develop scalable microservices, secure RESTful APIs, backend components, and integrations with internal and third-party systems.
Build, deploy, monitor, and support cloud-based applications on AWS with appropriate resiliency, logging, performance, security, and cost controls.
Provide technical leadership through architecture discussions, design reviews, code reviews, engineering standards, troubleshooting, root-cause analysis, documentation, and developer mentoring.
Collaborate with product owners, architects, QA, DevOps, and onsite/offshore teams; contribute to Agile ceremonies, estimation, risk management, release readiness, and continuous improvement.
The Backend Software Engineer II plays a vital role as an independent contributor, focusing on the development of moderately complex backend features and services.
Responsibilities
Collaborate with product managers, QA, and other stakeholders to deliver quality backend solutions.
Design and implement moderately complex backend features, APIs, and services utilizing .NET Core.
Assume responsibility for small modules or components, with a focus on ensuring they are maintainable, reliable, and easily testable.
Engage in technical design discussions, providing valuable input and suggesting alternative solutions for consideration.
Offer mentorship to junior engineers and interns through constructive guidance and thoughtful reviews.
Requirements
Bachelor’s Degree in Computer Science, Information Systems, or related field.
Nice to have: microservices architecture
Nice to have: containerization (Docker, Kubernetes)
Provide remote diagnostic technical support and resolution to Level 2 Helpdesk Specialists, ensuring customer forecourt sites remain operational across Vontier’s EMEA customer base.
Responsibilities
Proactively access Vontier’s helpdesk portals to review logged cases and triage them appropriately
Verify whether the customer-reported issue is still present and attempt to resolve it remotely
Gather and record all information clearly and accurately
Update the relevant call management portal or intranet as appropriate
Provide excellent customer support, managing expectations sensitively
Provide remote diagnostic technical support and resolution to Helpdesk Specialists (Level 2), enabling customers’ forecourt sites to remain operational across Vontier’s customer base in EMEA.
Responsibilities
Proactively access Vontier’s helpdesk portals to review logged cases and triage them appropriately
Verify whether the customer-reported issue is still present and attempt to resolve it remotely
Gather and record all information clearly and accurately
Update the relevant call management portal or intranet as appropriate
Provide excellent customer support, managing expectations sensitively and communicating clearly
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