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11 results for Aiml Engineer in San Francisco, CA

AI and Recommendation Engineer

Oakland, CA
onsite
Permanent / Full Time
250000 - 350000 USD / Yearly
Robert Half is partnering with an innovative healthcare technology organization that is transforming how professionals discover and consume highly specialized educational content. The team is seeking a Senior, Staff or Principal AI Search and Recommendation Engineer to lead the architecture and development of next-generation AI-powered discovery, search, recommendation, and retrieval platforms.This role is ideal for someone who has built intelligent search and recommendation systems at scale and wants to drive both technical strategy and hands-on development.What You'll Do<ul><li>Lead the design and development of AI-powered search, recommendation, and discovery platforms.</li><li>Build LLM-driven user experiences that understand user intent and deliver highly relevant results.</li><li>Develop semantic search, retrieval, ranking, and recommendation pipelines using embeddings, vector databases, and modern retrieval architectures.</li><li>Design and implement Retrieval-Augmented Generation (RAG) solutions, knowledge retrieval systems, and AI-powered assistants.</li><li>Evaluate emerging AI technologies, frameworks, and infrastructure to drive innovation.</li><li>Build scalable cloud-native services supporting high-volume global users.</li><li>Partner with Product, Data Science, and Engineering teams to prototype, test, and launch new AI capabilities.</li><li>Define long-term AI architecture and best practices across the organization</li></ul>
2026-07-31T00:00:00Z

Machine Learning Engineer

Menlo Park, CA
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Machine Learning Engineer Company OverviewBased in Los Angeles, California, the company specializes in transforming complex, multi-source data into actionable insights through machine learning, knowledge graph technologies, and advanced analytics. This is an opportunity to work on mission-critical applications in a highly collaborative environment focused on innovation, scalability, and operational excellence. Role SummaryThe Machine Learning Engineer will play a critical role in designing, training, deploying, and optimizing machine learning models that operate on large-scale temporal, geospatial, relational, and unstructured datasets. This position requires an experienced engineer who can independently own the full machine learning lifecycle, from dataset development and model architecture selection to deployment, monitoring, and continuous improvement. The ideal candidate brings broad expertise across computer vision, natural language processing (NLP), geospatial analytics, MLOps, and large-scale production machine learning environments. Key Responsibilities<ul><li>Design, train, evaluate, deploy, and optimize machine learning models across multiple production use cases.</li><li>Build predictive solutions for anomaly detection, forecasting, entity resolution, relationship prediction, risk assessment, and operational decision support.</li><li>Partner with data engineering teams to develop high-quality training datasets from structured, unstructured, temporal, relational, and geospatial data sources.</li><li>Design model architectures and select appropriate algorithms based on business objectives, data characteristics, and operational requirements.</li><li>Develop and maintain machine learning pipelines spanning data preparation, feature engineering, training, evaluation, deployment, and monitoring.</li><li>Build scalable solutions that leverage graph-based and knowledge graph-driven data architectures.</li><li>Develop models utilizing computer vision, NLP, geospatial analytics, and predictive modeling techniques.</li><li>Establish rigorous evaluation frameworks, baselines, performance metrics, and validation methodologies.</li><li>Design experiments that mitigate data leakage, model drift, bias, and changing data distributions.</li><li>Implement monitoring, observability, alerting, retraining, rollback, and model governance processes.</li><li>Maintain reproducible datasets, model artifacts, evaluation results, and deployment workflows.</li><li>Collaborate with distributed engineering teams to deliver reliable and scalable machine learning capabilities.</li><li>Improve model calibration, confidence scoring, uncertainty estimation, and explainability.</li><li>Contribute to technical architecture, machine learning standards, and long-term platform strategy.</li></ul>Additional Details<ul><li>Fully onsite 5 days a week</li><li>Highly collaborative environment with strong emphasis on machine learning, knowledge graphs, and data-driven decision support</li><li>Opportunity to influence technical direction, machine learning standards, and model lifecycle practices across multiple initiatives</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
2026-08-19T00:00:00Z

AI Optimization Specialist

San Francisco, CA
remote
Temporary / Contract
85 - 90 USD / Hourly
We are looking for an AI Optimization Specialist to help elevate the performance of AI-driven customer support experiences for a fintech organization. This contract position is fully remote and is focused on using data, conversation analysis, and platform insights to improve customer satisfaction, strengthen retention, and increase successful self-service outcomes. Based in San Francisco, California, this role is ideal for someone who can translate support performance trends into practical recommendations across AI support channels. Responsibilities:• Evaluate AI-supported customer service results by examining satisfaction trends, retention indicators, and resolution performance.• Review support conversations to uncover recurring friction points and identify opportunities to improve automated interactions.• Analyze interaction patterns to lower escalation rates and increase the percentage of issues resolved through self-service.• Use reporting tools, dashboards, and performance metrics to guide AI optimization efforts and recommend measurable enhancements.• Work with high-volume support datasets to assess effectiveness across AI channels and surface actionable insights.• Partner with stakeholders to identify gaps in customer support experiences and prioritize improvements based on observed data.• Apply expertise with Sierra and Decagon to compare performance signals and refine AI support outcomes.• Track trends across customer interactions to highlight opportunities for operational and experience improvements.
2026-08-13T00:00:00Z

AI Engineer (AI Data Privacy, Security & Governance)

San Ramon, CA
remote
Permanent / Full Time
85000 - 124000 USD / Yearly
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. 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. What You’ll Do <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>
2026-08-18T00:00:00Z

Agent Platform Engineer

Menlo Park, CA
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Agent Platform Engineer Company OverviewA leading artificial intelligence and advanced analytics organization is seeking an Agent Platform Engineer to help develop next-generation AI orchestration and decision-support platforms. Based in Los Angeles, California, the company specializes in integrating complex data sources into scalable intelligence solutions that support mission-critical operations, advanced analytics, and organizational workflows. This is an opportunity to work on cutting-edge AI technologies within a highly collaborative and innovative engineering environment. Role SummaryThe Agent Platform Engineer will design, build, and optimize enterprise-grade AI platforms that connect structured and unstructured data, knowledge graphs, retrieval systems, and intelligent workflows. This hands-on role focuses on developing production-ready AI applications, agent frameworks, workflow orchestration systems, retrieval pipelines, and model-serving infrastructure. The ideal candidate combines strong software engineering fundamentals with expertise in AI systems, distributed architectures, and scalable platform development. Key Responsibilities<ul><li>Design and implement intelligent workflow systems for research, analysis, automation, and decision-support use cases.</li><li>Develop scalable retrieval, search, and knowledge management capabilities across structured and unstructured datasets.</li><li>Build backend services, APIs, and platform capabilities supporting AI-driven applications.</li><li>Create resilient workflow orchestration patterns for long-running, distributed, and fault-tolerant processes.</li><li>Develop authorization, permission management, auditing, and governance mechanisms within AI platforms.</li><li>Optimize retrieval, inference, and execution performance across diverse deployment environments.</li><li>Fine-tune, evaluate, and integrate open-source AI models to support specialized business workflows.</li><li>Implement model routing, inference optimization, caching, and fallback strategies.</li><li>Build evaluation frameworks that measure system accuracy, reliability, performance, and operational effectiveness.</li><li>Develop observability, monitoring, alerting, and troubleshooting capabilities across platform components.</li><li>Partner with product, data, machine learning, infrastructure, security, and customer-facing teams to deliver scalable solutions.</li><li>Contribute to technical architecture, engineering standards, and long-term platform strategy.</li></ul>Additional Details<ul><li>Fully onsite 5 days per week</li><li>Individual contributor role with substantial technical ownership</li><li>Opportunity to work on advanced AI, automation, retrieval, and knowledge graph technologies</li><li>Staff-level candidates may provide technical leadership, mentorship, and architecture guidance</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
2026-08-19T00:00:00Z

Software Engineer II – AI Engineer (w/ skills in Deployment)

San Ramon, CA
remote
Permanent / Full Time
85000 - 124000 USD / Yearly
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. 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. What You’ll Do <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>
2026-08-18T00:00:00Z

AI Content Manager

San Francisco, CA
remote
Temporary / Contract
30 - 40 USD / Hourly
We are looking for a Data Labeler to support high-quality dataset preparation for machine learning initiatives in San Francisco, California. This Long-term Contract position focuses on reviewing and organizing text, image, audio, and video content so AI models can be trained with reliable, well-structured information. The ideal candidate brings strong editorial judgment, accuracy, and the ability to apply detailed standards consistently across large volumes of content. Responsibilities:• Evaluate and label content across multiple data formats, including written material, images, audio files, and video, using defined annotation standards.• Apply tags, classifications, and descriptive markers to datasets so they can be used effectively in AI and machine learning training workflows.• Inspect content for quality, completeness, and consistency, correcting issues and flagging unclear or unusual cases for further review.• Annotate visual assets by identifying relevant elements, outlining objects, or marking important features based on project requirements.• Review language-based content to classify topics, sentiment, entities, intent, or other attributes needed for model development.• Transcribe and enrich audio-based materials when required, ensuring accurate interpretation and documentation.• Maintain productivity and quality benchmarks while handling recurring tasks with a high level of precision and organization.• Partner with technical and quality teams to refine labeling practices and improve the usefulness of training datasets.
2026-08-13T00:00:00Z

RF Test and Integration Engineer

San Francisco, CA
onsite
Permanent / Full Time
140000 - 160000 USD / Yearly
We are looking for an RF Test and Integration Engineer to lead verification efforts that confirm wireless hardware performs reliably in the lab, during production validation, and at deployed sites. This position combines hands-on RF measurement, automation development, and real-world integration work to support each stage of the hardware lifecycle. Based in San Francisco, California, the role partners closely with firmware, driver, and hardware teams to strengthen product quality and deployment readiness. Responsibilities: • Conduct detailed RF performance evaluations across operating conditions such as temperature, voltage, channel width, and output power to verify hardware behavior and readiness. • Perform end-to-end integration testing across the full radio path, assessing components from the chipset and front-end circuitry through to antenna performance in bench and over-the-air environments. • Create and maintain Python-based automation frameworks that control RF lab equipment and support repeatable regression testing for firmware and driver updates. • Investigate performance degradation by tracing issues across software, firmware, drivers, and RF hardware to identify root causes and drive resolution. • Execute site surveys, support RF design planning, confirm link-budget assumptions, and oversee deployment validation at field locations. • Gather and analyze operational data from installed systems to improve propagation models and refine coverage planning accuracy. • Lead in-house pre-compliance testing activities, coordinate with external certification partners, and troubleshoot failures that affect regulatory approval. • Support qualification processes that establish release confidence for new hardware revisions before production and field use.
2026-08-11T00:00:00Z

DevOps Engineer

San Francisco, CA
onsite
Permanent / Full Time
180000 - 215000 USD / Yearly
We are looking for a Senior or Staff 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.
2026-08-11T00:00:00Z

Software Engineer III (Platform Engineering)

San Ramon, CA
remote
Permanent / Full Time
104000 - 153000 USD / Yearly
Robert Half is seeking a Software Engineer III (Platform Engineering) to support the infrastructure, platforms, and services that power our applications and data processing environments. This role is ideal for someone who enjoys building cloud infrastructure, automating processes, improving platform reliability, and troubleshooting production issues in a fast-paced environment. What You'll DoSpend approximately 70% of your time building and deploying infrastructure and platform enhancements, with 30% focused on operational support and troubleshooting.Design, build, and maintain scalable, secure, and reliable cloud-based infrastructure supporting applications, ETL/ELT processes, and platform services.Develop and maintain infrastructure automation, monitoring solutions, CI/CD pipelines, and operational tooling.Build and manage AWS resources, including EC2 instances and related cloud services.Support platform services in production environments, troubleshoot outages, and drive root-cause analysis and resolution efforts.Manage critical incidents, including coordinating with external vendors such as Microsoft to resolve high-priority production issues.Implement Infrastructure-as-Code (IaC) solutions and improve platform reliability, scalability, and performance.Collaborate with development, security, and operations teams to support application delivery and platform stability.Conduct code reviews, mentor junior engineers, and promote engineering best practices.Participate in an on-call rotation (approximately every three weeks).
2026-08-15T00:00:00Z

Engineering Technician

Fairfield, CA
onsite
Temporary / Contract
33.25 - 35 USD / Hourly
Robert Half is seeking a detail-oriented Engineering Technician to support the review, issuance, and processing of permits within the Engineering/Public Works Department. This Engineering Technician role serves as a key point of contact for contractors, developers, utility companies, property owners, and the public, ensuring permit applications are complete and compliant with department requirements.The ideal Engineering Technician candidate will have a construction, drafting, engineering support, or permit processing background and possess the ability to read and interpret construction plans, understand property ownership and easement information, and make sound decisions regarding permit requirements and routing. Essential Duties & Responsibilities<ul><li>Review permit applications for completeness and compliance with department requirements.</li><li>Issue permits and coordinate permit processing activities from intake through approval.</li><li>Read and interpret construction plans, engineering drawings, site plans, and supporting documentation.</li><li>Review plan sets consisting of approximately 24–36 sheets and identify missing or incomplete information.</li><li>Research property ownership, easements, rights-of-way, and parcel information using public records and GIS resources.</li><li>Provide permit-related information and assistance to contractors, developers, utility companies, consultants, and the general public.</li><li>Coordinate with engineering, planning, building, and public works staff regarding permit reviews and approvals.</li><li>Maintain accurate permit records, files, and project documentation.</li><li>Track permit status and communicate updates to applicants and stakeholders.</li><li>Utilize electronic permitting systems and databases to process and manage permit applications.</li><li>Prepare correspondence, reports, and permit-related documentation.</li><li>Assist with field verification and site visits as needed.</li></ul>
2026-08-19T00:00:00Z