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8 results for Software Engineer Ii Salesforce Ai in San Ramon, CA

Data Scientist II

San Ramon, CA
remote
Permanent / Full Time
119000 - 180000 USD / Yearly
Our client is seeking a Data Scientist II – Generative AI to join a cutting-edge team focused on building scalable, production-ready AI solutions that transform business workflows and deliver measurable impact across global operations. This role is ideal for professionals passionate about leveraging Generative AI technologies, creating intelligent agents, and driving innovation at scale. You will design and implement GenAI-powered agents that streamline internal processes, enhance productivity, and support business development initiatives. Responsibilities include developing robust prompt engineering frameworks, building RAG pipelines, and converting prototypes into production-ready solutions. You’ll collaborate closely with engineering and business teams to ensure solutions meet diverse client needs and are optimized for global deployment. Key projects include extending the company’s GPT platform, creating AI agents that improve efficiencies for RFP development, onboarding materials, and SOW requirements. Success in this role means quickly ramping up on backlog projects, delivering high-priority initiatives, and staying ahead of emerging GenAI frameworks to continuously advance internal AI capabilities.
2026-05-21T00:00:00Z

Software Engineer

Burlingame, CA
onsite
Temporary / Contract
62 - 62 USD / Hourly
We are looking for a Software Engineer to join a collaborative engineering team in Burlingame, California, supporting the design and delivery of modern cloud-based solutions. This Long-term Contract position offers the opportunity to shape scalable services, contribute to architecture decisions, and build reliable integrations between field operations and business systems. The role suits an engineer who enjoys hands-on development, cross-functional collaboration, and creating practical software solutions that can evolve with changing product needs. Responsibilities: • Lead the design and implementation of scalable software components across data processing, backend services, and orchestration layers. • Build and enhance cloud-native applications that support the exchange of information between operational platforms and business systems. • Create, document, and maintain APIs and microservices that connect devices, applications, and distributed services. • Develop web-based interfaces and service-to-service workflows by integrating with cloud API endpoints. • Investigate production issues, resolve technical problems, and improve overall platform stability and performance. • Participate in design discussions, code reviews, and testing activities to maintain high engineering standards. • Partner with architects, engineers, and business stakeholders to evaluate feature requests, estimate delivery effort, and validate solutions. • Support field validation efforts by working with cross-functional teams to test and refine software in live construction environments. • Mentor less experienced engineers and promote strong collaboration, sound development practices, and continuous improvement within the team.
2026-06-25T00:00:00Z

Software Engineer

Burlingame, CA
onsite
Temporary / Contract
60 - 60 USD / Hourly
We are looking for a Software Engineer to join a collaborative engineering team in Burlingame, California, supporting the design and delivery of modern software solutions that connect field operations with back-office systems. This is a Long-term Contract position offering the opportunity to contribute to cloud-based services, scalable APIs, and user-facing applications while working in an Agile environment. The role calls for a strong technical contributor who can help shape architecture decisions, improve system reliability, and partner with engineers and stakeholders across teams to deliver practical, high-impact solutions. Responsibilities: • Lead the design and implementation of scalable software components across data pipelines, service layers, and orchestration workflows. • Build and enhance cloud-based services that collect, process, and persist data for connected platforms and applications. • Create and maintain APIs within a microservices architecture to support communication between IoT-enabled systems and end-user tools. • Develop web interfaces and service-to-service integrations by consuming cloud API endpoints and translating business needs into technical solutions. • Investigate production issues, diagnose platform problems, and deliver effective fixes to improve system performance and stability. • Participate in architectural discussions, code reviews, and testing activities to ensure software quality and alignment with engineering standards. • Collaborate with cross-functional engineering teams and business stakeholders to assess new features, estimate effort, and validate solutions in real-world environments, including construction site settings when needed. • Mentor less experienced engineers by sharing development best practices, encouraging strong teamwork, and supporting technical growth. • Contribute to event-driven system design and help advance the adoption of modern cloud technologies and engineering approaches. • Perform unit and system-level validation to confirm that enhancements and changes meet functional and reliability expectations.
2026-06-25T00:00:00Z

Sr. Software Engineer

Menlo Park, CA
onsite
Permanent / Full Time
200000 - 250000 USD / Yearly
Job TitleFull Stack Application Developer Company OverviewA leading, privately held organization in the investment and philanthropic services space is seeking a talented Full Stack Application Developer to join its technology team. Based in Los Angeles, CA, the organization manages a diverse portfolio of initiatives across investments, nonprofit programs, and research-driven efforts. The company is committed to innovation, operational excellence, and leveraging technology to support impactful global initiatives. Role SummaryThe Full Stack Application Developer will play a critical role in designing, building, and scaling modern business applications that support a wide range of organizational functions. Based in Los Angeles, CA, this role partners closely with cross-functional stakeholders to identify technology needs and deliver innovative, scalable solutions. The ideal candidate brings a strong technical foundation, a forward-thinking mindset, and an interest in emerging technologies, including AI/ML applications in enterprise environments. Key Responsibilities<ul><li>Design and develop scalable, end-to-end applications across both frontend and backend systems</li><li>Architect and implement technical solutions aligned with organizational and business goals</li><li>Collaborate with stakeholders to translate business requirements into technical specifications</li><li>Build and maintain microservices-based architectures and integrate third-party systems</li><li>Develop and manage RESTful APIs with a focus on performance, security, and usability</li><li>Contribute to CI/CD pipelines and promote best practices in automated testing and deployment</li><li>Research and evaluate emerging technologies to enhance system capabilities and productivity</li><li>Optimize database design and ensure efficient data modeling across systems</li><li>Uphold engineering best practices throughout the software development lifecycle</li></ul>Compensation & Benefits<ul><li>$200,000 - $250,000</li><li>Comprehensive benefits package</li><li>Performance-based incentives and long-term growth opportunities</li></ul>Additional Details<ul><li>Work model: Onsite</li><li>Collaborative, fast-paced environment with a strong focus on innovation and continuous improvement</li><li>Opportunity to work on impactful, mission-driven initiatives across multiple sectors</li></ul>
2026-06-16T00:00:00Z

Data Engineer III

San Ramon, CA
remote
Permanent / Full Time
104000 - 153000 USD / Yearly
Robert Half, one of FORTUNE’s World’s Most Admired Companies and a Fortune 100 Best Companies to Work For is hiring for a Data Engineer III to join the ATI Data Science Innovation department. Solution Design & Technical Leadership<ul><li>Lead architecture and design of complex data pipelines on Databricks lakehouse architecture (Unity Catalog, Delta Lake, Structured Streaming)</li><li>Define technical approach for data engineering initiatives, mentor less-senior engineers, and set standards for code quality through leadership and code reviews</li><li>Design and build data foundations that enable AI/ML capabilities — feature stores, embedding pipelines, vector search indexes, and model training datasets</li><li>Align data engineering solutions with business strategy, including support for Agentic AI workloads</li></ul>Data Infrastructure & Platform<ul><li>Own health, scalability, and modernization of data infrastructure with Databricks as the strategic platform — including workload migration, compute optimization, and Unity Catalog adoption</li><li>Optimize pipeline performance (Delta Lake table layouts, clustering, Z-ordering) and establish monitoring/alerting best practices with clear SLAs</li><li>Build data infrastructure supporting Agentic AI systems — real-time data access layers, context retrieval pipelines, and agent-accessible data services</li><li>Collaborate cross-functionally with DevOps, Platform Engineering, and MLOps roles to integrate data solutions into the broader technology environment and shared AI infratstructure – Mlflow registries, feature stores, and agent orchestration layers</li><li>Provide consultation to Senior Leadership on complex projects and drive continuous improvement initiatives</li></ul>Data Quality, Governance & Collaboration<ul><li>Champion data governance at all layers for data, models, and AI assets</li><li>Implement data quality strategies (master data management, validation rules, Delta Live Tables expectations) to ensure trust in enterprise data</li><li>Serve as liaison across data engineering, AI engineering, and business teams; promote data literacy and stewardship</li></ul>
2026-06-11T00:00:00Z

AI Engineer

San Francisco, CA
onsite
Permanent / Full Time
220000 - 260000 USD / Yearly
We are looking for an experienced Artificial Intelligence (AI) Engineer to establish and lead a secure, scalable internal AI platform in San Francisco, California. This role will shape the technical foundation for enterprise AI adoption by creating development standards, deployment practices, and governance controls that support reliable use across the organization. The position works closely with technology, security, and business teams to help both technical and non-technical users build, launch, and manage AI-powered solutions responsibly. Responsibilities: • Design, implement, and support the organization’s internal AI platform, with a primary focus on Azure-based environments, tools, and supporting infrastructure. • Create and manage automated delivery workflows for AI applications, ensuring code is tested, versioned, and promoted through environments efficiently. • Establish policies and technical controls that guide secure, compliant, and responsible use of AI across enterprise teams. • Enable developers and business users to create AI-driven solutions by providing practical frameworks, tooling, and support for modern AI-assisted development environments. • Lead the release and production rollout of AI solutions, overseeing readiness, deployment standards, and operational stability. • Work closely with IT, security, and business stakeholders to encourage adoption, clarify proper usage, and align AI capabilities with organizational needs. • Maintain platform health by managing access controls, monitoring performance, and improving development standards for scalable AI delivery. • Coordinate with external consultants and partners to help execute AI initiatives and advance the broader platform roadmap. • Produce clear documentation for workflows, technical standards, and best practices to support continued growth in enterprise AI usage.
2026-06-23T00:00:00Z

Sr DevOps Engineer

San Francisco, CA
onsite
Temporary / Contract
75 - 85 USD / Hourly
We are looking for a Sr. DevOps Engineer to help strengthen and scale a cloud-based platform in San Francisco, California. This opportunity is ideal for a senior engineer who can improve infrastructure performance, streamline delivery processes, and support production systems in a hybrid work environment. The role partners closely with engineering teams to build dependable deployment practices, enhance platform visibility, and maintain stable operations across modern cloud services. This is a contract to permanent opportunity and requires 2 days a week on site. Responsibilities: • Develop, manage, and optimize cloud infrastructure that supports the company's live SaaS environment. • Create and maintain delivery pipelines for application services and machine learning workloads to enable efficient releases. • Oversee deployments across serverless components and container-based applications while ensuring consistency and reliability. • Administer and support a PostgreSQL data environment, including performance, availability, and operational upkeep. • Strengthen system dependability by improving monitoring, alerting, logging, and overall platform observability. • Automate provisioning and release processes through infrastructure-as-code practices using tools such as Terraform. • Collaborate with backend and machine learning teams to address infrastructure needs and enable smooth deployment workflows. • Participate in production support activities, including incident response and an on-call rotation. • Contribute to operational improvements that reduce manual effort and increase platform stability over time.
2026-06-22T00:00:00Z

DevOps Engineer

San Francisco, CA
onsite
Permanent / Full Time
170000 - 180000 USD / Yearly
We are looking for a Sr.DevOps Engineer to strengthen our engineering organization in San Francisco, California. In this role, you will improve the foundation that supports application delivery, platform reliability, and developer productivity across cloud-based systems. You will work closely with engineering partners to create scalable infrastructure, streamline release processes, and build dependable operational practices that support continued growth. Responsibilities:• Architect and maintain cloud infrastructure using infrastructure-as-code practices that promote consistency, scalability, and operational simplicity.• Create and refine automated delivery pipelines to support dependable, efficient releases across multiple services and environments.• Establish repeatable deployment approaches for serverless applications, container-based platforms, and orchestrated workflows.• Build internal automation and developer tools that reduce manual effort and help backend and machine learning teams work more efficiently.• Enhance development, testing, and staging environments to improve workflow speed and reduce friction during software delivery.• Define strong monitoring and observability practices across logs, metrics, and tracing to improve system visibility and troubleshooting.• Investigate reliability, latency, and performance issues in distributed environments and partner with engineers to implement lasting improvements.• Strengthen operational readiness by supporting incident response, contributing to post-incident reviews, and turning findings into better tooling and processes.• Integrate security and compliance controls into infrastructure and deployment workflows, including access management, patching, and vulnerability remediation.
2026-06-22T00:00:00Z