<p>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.</p><p><br></p><p>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.</p><p><br></p><p>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.</p>
<p>We are seeking a detail-oriented <strong>Data Analyst</strong> for a <strong>contract-to-hire</strong> opportunity. This role will support critical finance and operational processes by performing <strong>data cleaning, mapping, validation, reconciliations, and billing support during the close process</strong>. The ideal candidate will be comfortable working with large data sets, identifying discrepancies, and ensuring data accuracy across systems. This role is hybrid with 1-2 days onsite in office.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Clean, organize, and maintain large volumes of data to ensure accuracy and consistency. </li><li>Perform <strong>data mapping</strong> between systems and validate data conversions, transformations, and integrations. </li><li>Review and validate data for completeness, accuracy, and compliance with business rules. </li><li>Conduct <strong>reconciliations</strong> across multiple data sources and investigate discrepancies. </li><li>Support <strong>billing activities during month-end close</strong>, including validating billing data and resolving exceptions. </li><li>Partner with finance, operations, and business teams to ensure timely and accurate reporting. </li><li>Analyze data issues, identify root causes, and recommend process improvements. </li><li>Prepare reports and documentation related to reconciliations, billing, and data quality. </li><li>Assist with ad hoc analysis and special projects as needed. Based on general knowledge.</li></ul><p><br></p>
<p>Our client is building the next generation of intelligent, scalable enterprise applications at the intersection of Salesforce, AI, and automation. Their high-performing Marketing Applications team delivers mission-critical solutions that power large-scale operations, optimize business processes, and embed AI-driven insights across the organization.</p><p><br></p><p>They are seeking a <strong>Software Engineer III </strong>to independently design and deliver complex technical solutions while developing deep expertise across Salesforce, AI-enabled workflows, and enterprise integrations. This role is ideal for a proven engineer who enjoys architectural ownership, mentoring others, and working across a sophisticated technology ecosystem. Candidates from outside the Salesforce ecosystem are encouraged to apply if interested in specializing in these technologies.</p><p><br></p><p><strong>What You’ll Do</strong></p><ul><li>Independently design, develop, and deliver complex, scalable Salesforce applications and integrations using advanced Apex, Lightning Web Components (LWC), and declarative tools</li><li>Design and maintain back-end services, APIs, and automation workflows using Node.js, Python, and cloud platforms (Azure or AWS)</li><li>Build and manage data pipelines and ETL processes across Salesforce and cloud-based data platforms</li><li>Own integrations between Salesforce and enterprise systems, defining data contracts using REST/SOAP APIs and event-driven architectures</li><li>Customize and extend agent-based capabilities to deliver context-aware, high-performance employee experiences</li><li>Drive adoption of AI capabilities, including predictive analytics, copilots, and generative AI within marketing and sales workflows</li><li>Contribute to AI and ML initiatives, including the secure integration of large language models into enterprise processes</li><li>Develop and optimize modern front-end applications using advanced JavaScript frameworks such as React.js or Next.js</li><li>Serve as a key contributor in Agile teams, influencing technical direction, roadmap planning, and conducting peer code reviews</li><li>Mentor junior engineers and promote engineering best practices and technical excellence</li><li>Collaborate closely with product managers, data science teams, and business stakeholders to translate requirements into scalable solutions</li></ul>
<p>We are looking for a talented and motivated <strong>Software Engineer II</strong> to join our innovative IT team. As a Software Engineer II, you will be responsible for designing, developing, and maintaining software applications using modern technologies. You will work on both front-end and back-end development, ensuring seamless integration and optimal performance. Your role will involve collaborating with cross-functional teams to deliver high-quality software solutions that meet business requirements.</p><p><br></p><p>This role offers the opportunity to work on cutting-edge software solutions, improve system efficiency, and contribute to strategic IT initiatives. If you are passionate about software engineering and thrive in a dynamic environment, we’d love to hear from you!</p><p><br></p><p><strong>What You'll Do</strong></p><ul><li>Develop and maintain web applications using modern front-end frameworks such as React or Angular.</li><li>Design and implement RESTful APIs and microservices using C#.</li><li>Work with cloud platforms like Azure or AWS to deploy and manage applications.</li><li>Implement CI/CD pipelines using tools like Azure DevOps or GitHub Actions.</li><li>Collaborate with UX/UI designers to create intuitive and responsive user interfaces.</li><li>Write unit and integration tests to ensure code quality and reliability.</li><li>Participate in code reviews and provide constructive feedback to peers.</li><li>Troubleshoot and resolve software defects and production issues.</li><li>Design and contribute to an AI agent platform, enabling intelligent automation, workflow orchestration, and integration with enterprise systems.</li></ul><p><br></p>
<p>Robert Half is seeking a Software Engineer II – AI Engineer who will analyze, design, program, debug, test, implement, deploy, and support software enhancements and new applications using Generative AI technologies. This role contributes to the development and production deployment of GenAI-enabled applications, including LLM-powered workflows, RAG pipelines, and AI-driven user experiences. </p><p> </p><p>This role supports SDLC documentation across all phases, with a focus on deployment, evaluation, observability, safety, and monitoring. It also interacts with users to define requirements and support applications in production. </p><p><strong>What You’ll Do</strong> </p><ul><li>Develop and modify application modules, including GenAI components. </li><li>Build prompt workflows, retrieval layers, APIs, and cloud services. </li><li>Troubleshoot production issues, including latency, hallucinations, and errors. </li><li>Provide Level II production support for deployed systems. </li><li>Design components, including LLM integrations and RAG pipelines. </li><li>Implement CI/CD pipelines, containerization, and release processes. </li><li>Develop RAG pipelines with embeddings, chunking, and vector search. </li><li>Apply prompt engineering techniques, including few-shot prompting and structured outputs. </li><li>Evaluate models for accuracy, relevance, and hallucination risk. </li><li>Implement safety guardrails, including PII protection and prompt-injection defense. </li><li>Execute testing, including unit, integration, and GenAI evaluation testing. </li><li>Monitor production systems for latency, cost, usage, and errors. </li><li>Support incident management with fallback and recovery strategies. </li></ul><p><br></p>
<p>obert Half is seeking a Software Engineer II – AI Engineer to analyze, design, program, debug, test, implement, and support the privacy, security, and governance controls that protect generative AI technologies. This role safeguards GenAI-enabled applications, including LLM-powered workflows, RAG pipelines, plugins, skills, and autonomous agents, by embedding data protection, security guardrails, and responsible AI governance across the development lifecycle. </p><p> </p><p>This role supports SDLC documentation across all phases, with a focus on data privacy, security guardrails, governance, compliance, and risk management. It also works with users to define requirements and support applications in production. </p><p><strong>What You’ll Do</strong> </p><ul><li>Design and implement data privacy controls, including PII/PHI detection, redaction, and data minimization. </li><li>Build security guardrails, including prompt-injection defense, jailbreak prevention, and output filtering. </li><li>Establish governance for plugins, skills, and agents, including registration, approval, and lifecycle management. </li><li>Review and vet third-party plugins, skills, and agent tools for security, privacy, and compliance risks. </li><li>Define and enforce access controls, authentication, and least-privilege permissions for AI components. </li><li>Implement guardrails for autonomous agents, including action scoping, tool-use restrictions, and human-in-the-loop approval. </li><li>Apply data classification, retention, and residency policies across GenAI data flows. </li><li>Monitor AI systems for policy violations, data leakage, and anomalous plugin, skill, or agent behavior. </li><li>Maintain audit trails and logging for plugin, skill, and agent activity. </li><li>Support compliance with regulations and frameworks, including GDPR, CCPA, and the EU AI Act. </li><li>Provide Level II production support for security, privacy, and governance incidents. </li><li>Support incident response, including containment, escalation, and remediation. </li></ul>
<p>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. </p><p><br></p><p> This is a contract to permanent opportunity and requires 2 days a week on site. </p><p><br></p><p> Responsibilities: </p><p>• Develop, manage, and optimize cloud infrastructure that supports the company's live SaaS environment. </p><p>• Create and maintain delivery pipelines for application services and machine learning workloads to enable efficient releases. </p><p>• Oversee deployments across serverless components and container-based applications while ensuring consistency and reliability.</p><p>• Administer and support a PostgreSQL data environment, including performance, availability, and operational upkeep. </p><p>• Strengthen system dependability by improving monitoring, alerting, logging, and overall platform observability. </p><p>• Automate provisioning and release processes through infrastructure-as-code practices using tools such as Terraform. </p><p>• Collaborate with backend and machine learning teams to address infrastructure needs and enable smooth deployment workflows. </p><p>• Participate in production support activities, including incident response and an on-call rotation. </p><p>• Contribute to operational improvements that reduce manual effort and increase platform stability over time.</p>