Generative AI Engineer

Generative AI EngineerSalary Range: $120k to $170kAbout the RoleWe are seeking a highly skilled Generative AI Engineer to lead the end-to-end delivery of production-grade AI systems. This role is responsible for designing, building, deploying, and continuously optimizing scalable generative AI solutions that integrate seamlessly with enterprise systems. You will act as a technical authority, shaping best practices and driving innovation across AI initiatives.What You’ll DoOwn the full lifecycle of generative AI systems, from architecture and development to deployment, monitoring, and optimizationDesign and build LLM-powered applications, including agent-based workflows, multi-step RAG pipelines, and enterprise AI solutionsEstablish and enforce engineering standards across prompt design, orchestration, structured outputs, and workflow lifecycle managementServe as a technical leader for GenAI, guiding architecture decisions and best practicesIntegrate AI systems with enterprise data, internal APIs, and cloud-native servicesEvaluate and select models, implement routing strategies, and optimize for latency, cost, and performanceContinuously assess emerging AI tools and improve existing systemsOwn system performance across reliability, scalability, throughput, and cost efficiencyBuild and maintain observability frameworks (monitoring, tracing, logging, alerting)Design and manage CI/CD pipelines, including versioning and release processesLead incident response and root cause analysis, implementing long-term fixesDevelop evaluation pipelines for LLM outputs, including regression testing and failure analysisImplement safeguards such as human-in-the-loop workflows, schema validation, and output controlsEnsure systems are secure against prompt injection, data leakage, and unauthorized accessCollaborate with leadership and cross-functional teams to define and execute AI initiativesProvide hands-on technical guidance, mentoring, and code reviewsPromote iterative delivery with frequent releases and continuous feedback loopsRequired QualificationsProven experience building and deploying production-grade LLM or generative AI systemsStrong expertise in prompt design, orchestration, and model tradeoffsExperience developing evaluation frameworks for AI outputs and validating qualitySolid background in distributed systems and production software engineeringExperience with CI/CD pipelines, release management, and operational ownershipDemonstrated ability to define technical standards and influence architecture decisionsExperience with cloud-native systems, APIs, and event-driven architectures (Azure or similar)Experience integrating AI solutions with enterprise data and security requirementsBachelor’s degree in a technical field or equivalent practical experiencePreferred QualificationsExperience with advanced RAG pipelines and agent-based AI systems in productionFamiliarity with cloud AI services and modern infrastructure toolingExperience with Python-based AI frameworks and data pipelinesExperience with containerization and deploying AI workloadsKnowledge of responsible AI practices and governanceDomain experience in areas such as product data, ERP, ecommerce, or analytics platforms