Hiring: Advisor - Agentic Automation, Frontier AI Company: BioSpace Location: South San Francisco, CA Job Posted Time: 2026-09-13 10:24:02 Employment Type: Full-time / On-site Target Skills & Keywords : CI/CD, Data Pipeline, Docker, FastAPI, Fine-tuning, Flask, GitHub, GitOps, Kubernetes, LLM, NLP, Python, Redis, pytest About the job Experience: •3 yrs / BS + 5 yrs equivalent experience) in Chemical / Mechanical Engineering, Robotics, Computer Science, Computer Engineering, Chemistry, or a related discipline, with demonstrated wet-lab automation experience Required Skills: •We are rebuilding the Design-Make-Test-Analyze (DMTA) cycle by integrating agentic AI, cloud-based orchestration, and LIMS infrastructure to connect experimental readouts with the tools that accelerate laboratory science. •Engineer the connective tissue between agentic AI and physical lab systems building practical integrations with robotic platforms, analytical instruments, and data pipelines. You will design agent workflows that reason over experimental data, trigger automated actions, and surface insights to scientists. •This is an on-site hands-on individual contributor role: you will prototype rapidly, productionize what works, and collaborate with chemists, biologists, and automation engineers to deploy intelligent systems that accelerate molecule discovery. •This position reports to the Agentic Automation Lead. You will own significant components of the agentic automation platform and be trusted to make technical decisions within them. •Build and maintain the translation layer between high-level agent planning logic and low-level instrument control across lab automation platforms (Hamilton, Tecan, Opentrons) and analytical instruments (LC/MS, NMR, HPLC) •Connect experimental readouts to ELN/LIMS and downstream data pipelines so every run produces model-ready, traceable data •Agent Development •Build multi-agent systems with robust orchestration, state management, error recovery, and tool integration Qualifications: •PhD (or MS + 3 yrs / BS + 5 yrs equivalent experience) in Chemical / Mechanical Engineering, Robotics, Computer Science, Computer Engineering, Chemistry, or a related discipline, with demonstrated wet-lab automation experience •Direct experience integrating software control and/or AI systems with lab automation platforms (liquid handlers, analytical instruments, robotic workflows) •Strong experience with containerization (Docker) and Kubernetes-based orchestration in production environments •Hands-on experience building LLM agent or multi-agent systems that call real tools in production •Proven ability to build and maintain the translation layer between high-level planning logic and low-level instrument control •Operational familiarity with the NVIDIA stack for life sciences (BioNeMo, CUDA, Omniverse) •Demonstrable research experience, evidenced by contributions to projects and ideally through publications in relevant ML/NLP venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR) or leading chemistry journals •This is an onsite position based in South San Francisco, CA. •Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Compensation: •$168,000 - $268,400 / 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!