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Agentic Automation, Frontier AI
Eli Lilly and Company. Build multi-agent systems with robust orchestration, state management, error recovery, and tool integration .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and integrating multi-agent systems with laboratory automation platforms, utilizing Docker and Kubernetes for orchestration. Proven ability to collaborate with scientists and engineers to transition prototypes into reliable lab operations while maintaining a focus on experimental data analysis and automation.
Highest-signal resume keywords
Multi-Agent Systems DevelopmentLaboratory Automation IntegrationDocker And Kubernetes OrchestrationPython Application DevelopmentResearch Experience In ML/NLP
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Multi-Agent SystemsLaboratory AutomationPythonDockerKubernetesLIMS/ELN IntegrationAI Systems IntegrationClosed-Loop ExperimentationLangChain/LangGraphOpenTelemetry
Soft Skills
CollaborationCommunicationProblem-Solving
Tools & Technologies
HamiltonTecanOpentronsArgoGitOpsCI/CD
Industry Keywords
Wet-Lab AutomationHigh-Throughput ExperimentationFlow ChemistryRobotic WorkflowsExperimental Data Analysis
Tech Stack
Tools & technologiesCloudDockerKubernetesPython
About the role
Key responsibilities & impact- Build multi-agent systems with robust orchestration, state management, error recovery, and tool integration
- Prototype and iterate on agent planning strategies, memory systems, and human-in-the-loop patterns
- Design agent architectures interfacing with Hamilton, Tecan, and Opentrons lab automation platforms for closed-loop experimental execution
- Partner with automation engineers and scientists to transition prototypes into reliable lab operations
- Deploy and maintain containerized services using Docker and Kubernetes with GitOps and CI/CD practices
- Integrate cloud-based orchestration frameworks such as Argo on Kubernetes with laboratory control systems
- Engineer integrations between agentic AI and physical lab systems, including robotic platforms, analytical instruments, and data pipelines
- Design agent workflows that reason over experimental data, trigger automated actions, and surface insights to scientists
- Prototype rapidly, productionize successful solutions, and collaborate with chemists, biologists, and automation engineers
- Represent Frontier AI in the AI@Lilly and external AI research communities through publications, talks, paper reviews, and trend scouting
- Evaluate external vendors, open-source projects, and academic collaborations for strategic fit
Requirements
What you’ll need- MS + 1 yr or BS + 3 yrs equivalent experience in Computer Science, Mathematics, Engineering, or related discipline
- Demonstrated wet-lab automation experience
- Demonstrated experience with laboratory automation systems and LIMS/ELN integration
- Direct experience integrating software control and/or AI systems with lab automation platforms, such as liquid handlers, analytical instruments, robotic workflows, high-throughput experimentation, or flow chemistry
- Experience with Docker and Kubernetes-based orchestration in cloud or production environments
- Experience building scalable, production-level Python applications using tools such as LangChain/LangGraph, AutoGen, and OpenTelemetry
- Qualified applicants must be authorized to work in the United States on a full-time basis
- Experience with LLM post-training, fine-tuning, or RLHF
- Experience deploying closed-loop autonomous experimentation
- Ability to build and maintain the translation layer between high-level planning logic and low-level instrument control
- Demonstrable research experience, ideally including publications in relevant ML/NLP venues
Benefits
Comp & perks- Company bonus depending, in part, on company and individual performance
- Company-sponsored 401(k)
- Pension
- Vacation benefits
- Medical, dental, vision, and prescription drug benefits
- Healthcare and/or dependent day care flexible spending accounts
- Life insurance and death benefits
- Time off and leave of absence benefits
- Employee assistance program
- Fitness benefits
- Employee clubs and activities