Agent Engineer/AI Engineer/Solutions Architect/Technical Lead/ Platform /Runtime Engineer

1) Agent Engineer (Agentic AI / LLM Systems)Job Title: Agent EngineerLocation: In person in Palo Alto CA - only localThe OpportunityWe are seeking an Agent Engineer to help build the next generation of AI-powered workflows and intelligent systems. You will design and deploy agentic solutions that can reason, plan, and take action across enterprise tools-unlocking new levels of automation and productivity.Role Summary: Design and deliver agentic AI systems that operate across enterprise workflows. This role focuses on building autonomous and semi-autonomous systems using LLMs, including tool orchestration, memory, and multi-step decisioning.What You'll DoDesign and implement agent-based systems using LLMs, tools, memory, and planning (including orchestration and multi-step workflows)Build and integrate agent workflows across enterprise systems via APIs and servicesDevelop RAG pipelines where applicable to support agent reasoningImplement human-in-the-loop patterns for safety, review, and escalationDefine and operationalize evaluation frameworks (accuracy, reliability, task success)Own solutions from prototype through production deployment and monitoringPartner cross-functionally to deliver scalable, secure, and high-impact solutionsQualificationsRequired: Bachelor's or Master's in Computer Science, Data Science, or related field (or equivalent experience)Strong programming experience (Python required)Experience building LLM-based applications or workflow automation systemsPreferred: Experience with agent frameworks (e.g., LangChain, Semantic Kernel)Familiarity with RAG, vector databases, and evaluation techniquesExperience designing multi-step or tool-augmented workflowsCore Competencies Agentic System DesignApplied Generative AIWorkflow OrchestrationEvaluation & ReliabilitySoftware Engineering ExcellenceCross-Functional Collaboration2) AI Engineer (Applied AI / Machine Learning)Job Title: AI EngineerLocation: In person in Palo Alto CA - only localThe OpportunityWe are seeking an AI Engineer to help bring machine learning and generative AI capabilities into real-world products and platforms. You will work at the intersection of data, models, and systems to deliver scalable, production-ready AI solutions.Role SummaryDevelop and operationalize machine learning and generative AI solutions, with a focus on model integration, evaluation, and production readiness.What You'll Do Select, fine-tune (where needed), and integrate ML and foundation models into production systemsDesign and manage the end-to-end ML lifecycle (data, experimentation, deployment, monitoring)Build robust evaluation frameworks to ensure model quality and performanceApply relevant techniques in NLP, LLMs, or computer vision depending on domainDevelop data pipelines, feature engineering workflows, and model serving infrastructureOptimize performance, cost, and scalability across cloud and compute environmentsCollaborate with cross-functional teams to deliver AI-powered featuresQualifications Bachelor's or Master's in AI, Computer Science, Math, or related fieldProficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow)Experience deploying ML models into production environmentsCore Competencies Machine Learning DevelopmentMLOps & Model OperationalizationData & Model QualityExperimentation & EvaluationSoftware EngineeringTechnical Communication3) Solutions Architect (AI / Platform)Job Title: Solutions ArchitectLocation: In person in Palo Alto CA - only localThe OpportunityWe are seeking a Solutions Architect to shape how our systems are designed, scaled, and integrated. You will translate business strategy into robust architectures, ensuring our platforms-especially AI-enabled systems-are secure, scalable, and future-ready.Role SummaryOwn end-to-end system architecture and design governance, defining reference architectures and standards across platforms and AI solutions.What You'll Do Lead requirements discovery and translate business needs into system architecturesDefine and maintain reference architectures (e.g., AI/GenAI systems, RAG, integration patterns)Evaluate trade-offs across scalability, performance, cost, and securityDrive architectural alignment and maintain decision records across teamsEnsure compliance with data governance, privacy, and AI safety standardsGuide engineering teams through implementation and validate design adherencePartner with stakeholders to shape long-term solution strategyQualifications Bachelor's degree in Computer Science, Engineering, or related fieldExperience designing enterprise-scale, distributed systemsStrong background in cloud platforms and integration architecturesExcellent communication and stakeholder alignment skillsCore Competencies Systems ArchitectureDesign Governance & StandardsStrategic ThinkingIntegration & InteroperabilityRisk & Trade-off ManagementStakeholder Influence4) Technical Lead (Engineering Delivery)Job Title: Technical LeadLocation: In person in Palo Alto CA - only localThe OpportunityWe are seeking a Technical Lead to drive high-quality engineering execution across complex initiatives. You will play a critical role in translating architecture into delivery, while mentoring engineers and elevating team performance.Role SummaryProvide hands-on technical leadership focused on execution, delivery, and engineering excellence.What You'll Do Own implementation-level architecture and key design decisions within your domainLead end-to-end delivery across design, development, testing, and integrationContribute hands-on to critical components and unblock engineering teamsReview code and designs to ensure quality and scalabilityMentor and develop engineers, strengthening team capabilityPartner with product and cross-functional leaders to align prioritiesDrive continuous improvement in engineering practicesQualifications Bachelor's degree in Computer Science or Engineering (or equivalent experience)Strong hands-on engineering background with delivery leadership experienceProven ability to ship complex, production-grade systemsCore Competencies Technical Leadership (Execution-Focused)Hands-On EngineeringDelivery ExcellenceMentorship & Talent DevelopmentArchitecture & Design (Implementation-Level)Collaboration & Influence5) Platform / Runtime Engineer (Systems & Infrastructure)Job Title: Platform / Runtime EngineerLocation: In person in Palo Alto CA - only localThe OpportunityWe are seeking a Platform / Runtime Engineer to build the foundation that powers our products and AI systems at scale. You will focus on performance, reliability, and infrastructure that enables teams to ship with confidence.Role SummaryBuild and operate the runtime and infrastructure foundation supporting scalable, reliable, cloud-based systems.What You'll Do Develop and maintain runtime services, infrastructure components, and platform toolingDesign and operate distributed systems across cloud and containerized environmentsOptimize system performance, scalability, and observabilityBuild CI/CD pipelines and monitoring systems to support reliable operationsDebug complex issues across services and infrastructure layersPartner with application and AI teams to support production systemsQualifications Bachelor's degree in Computer Science, Engineering, or related fieldExperience with distributed systems, Linux, and cloud platformsProficiency in debugging, performance optimization, and reliability practicesCore Competencies Systems & Platform EngineeringDistributed SystemsPerformance OptimizationReliability & ObservabilityAutomation & ToolingSoftware Engineering DisciplineDiverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.