Hiring: Senior Principal Agentic Engineer Company: BioSpace Location: Indianapolis, IN Job Posted Time: 2026-09-17 05:20:17 Employment Type: Full-time / Hybrid Target Skills & Keywords : API Design, AWS, Azure, CI/CD, Datadog, Dynatrace, EKS, Foundry, Grafana, Infrastructure as Code, Kubernetes, LLM, LangChain, LlamaIndex, OpenTelemetry, Prometheus, Python, RAG, REST, React, SageMaker, Serverless, ServiceNow, Splunk, Terraform, TypeScript, Vertex AI, gRPC About the job Experience: •7+ years of progressive technology experience with substantial hands-on architecture and delivery of automation, AIOps, agentic systems, or cloud-native platforms at enterprise scale. Qualifications: •Demonstrated experience designing, building, and deploying agentic AI solutions in production environments, including agent runtimes, multi-agent orchestration, tool integration, and memory/state management, with hands-on implementation using at least one major framework (LangGraph, LangChain, LlamaIndex, or MCP). •Production experience with LLM application patterns: prompt engineering, retrieval-augmented generation (RAG), structured outputs, and multi-model routing. •Demonstrated experience designing, deploying, and supporting cloud-native solutions in production environments, including Kubernetes (EKS or equivalent), containerized workloads, infrastructure as code using Terraform, and implementation of AI services on at least one major cloud platform (AWS Bedrock/SageMaker, Azure AI Foundry, or Vertex AI). •Strong CI/CD engineering experience for AI and agentic workloads: model and agent deployment, versioning, canary/blue-green strategies, evaluation gates, and rollback. •Demonstrated experience implementing evaluation and guardrail frameworks for AI and agentic systems, including automated evaluations, drift detection, human-in-the-loop verification, and feedback loops in production environments. •Demonstrated experience implementing security controls for cloud-native or production environments, including network policies, secrets management, vulnerability scanning, and access controls within regulated environments. •Solid functional working knowledge of operational ML: anomaly detection, event correlation, alert-noise reduction, and model/agent monitoring in production. •Applied hands-on capability in ServiceNow integration patterns and chat-based intake platforms (e.g., Microsoft Teams). Compensation: •$129,000 - $231,000 / year •Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!