Senior Agentic AI Engineer

We respectfully request that 3rd parties refrain from contacting us regarding this posting.OverviewLABUR is partnering with a client to find a Senior Agentic AI Engineer who will design, build, and productionize agentic AI systems that automate research, data collection, enrichment, validation, and decision-support workflows. This role centers on delivering reliable, scalable AI solutions using LLMs, retrieval systems, orchestration frameworks, and human-in-the-loop controls that drive measurable business outcomes. The ideal candidate combines strong engineering fundamentals with practical judgment around when agentic patterns are appropriate, with a focus on reliability, evaluation, traceability, and long-term maintainability. This role is fully remote.ResponsibilitiesDesign and develop agentic AI systems that automate research, enrichment, validation, and decision-support processes using LLMs, retrieval systems, structured data, external tools, and MCP servicesImplement orchestration logic, routing, state management, retries, checkpointing, fallback strategies, and failure recovery mechanismsArchitect and maintain RAG, search, and data-ingestion pipelines across structured and unstructured data sourcesEstablish evaluation frameworks, testing strategies, observability, and quality controls for AI agents and workflowsImplement provenance, traceability, governance, and human-in-the-loop review processes where appropriateCollaborate with product, data, platform, and engineering teams to identify high-value automation opportunitiesSupport production operations, incident response, root-cause analysis, and continuous improvement of deployed AI systemsQualificationsStrong Python and production software engineering skills with hands-on experience building and operating production agentic AI systemsExperience with orchestration frameworks such as LangGraph, Airflow, AWS Step Functions, or Temporal, including tool use, function calling, MCP integration, and agent harness engineeringProficiency designing state management, retries, checkpointing, routing, fallbacks, and failure recovery patternsDeep understanding of retrieval, RAG, search, and data-ingestion pipelines across structured and unstructured data sourcesExperience with AI evaluation, testing, observability, quality assurance, and human-in-the-loop workflows with provenance and data-quality controlsAWS experience required; Snowflake experience preferredStrong systems-design skills and architectural judgment, including familiarity with enterprise AI governance, security, and complianceCompensation$80-$85/hr - Dependent on fit and experience