About the role
We are looking for a hands-on developer with real AI agent experience to lead Psomagen's company-wide AI transformation. You will design, build and operate AI agents on top of the tools our teams use every day: Google Workspace, HubSpot, our in-house LIMS and SAP. You will work directly with the CEO and with every function, identify where agents can remove manual work, ship them quickly, and keep them reliable in production. This is a builder role, not an advisory one.
What you'll do
- Design, develop and operate AI agents using Hermes and comparable agent frameworks, and keep the underlying models swappable as better ones appear
- Connect agents to our business systems (Google Workspace, HubSpot, LIMS, SAP) and choose the right way to integrate each one, so that agents can read, draft and act within defined permissions
- Work with sales, project management, lab operations, finance, regulatory/quality and IT to find high-value workflows (for example quoting, customer communication, document management, reporting and internal Q&A) and turn them into working agents
- Build the supporting infrastructure: knowledge retrieval over company documents, evaluation and testing of agent outputs, logging, monitoring and cost control
- Put guardrails in place: role-based access, audit trails and human approval steps for actions that touch customers, finance or regulated records
- Collaborate with our LIMS development and bioinformatics teams so that agents fit our existing systems and pipelines
- Train employees to use agents effectively, gather feedback and keep improving what is deployed
- Track new AI models, tools and practices, and bring in the ones that make a practical difference to the business
Required Qualifications
- Bachelor's degree or equivalent experience in computer science, software engineering or a related field
- 4+ years of professional software development experience, with strong Python skills
- Demonstrated experience building and operating LLM-based agents in production or in substantial real-world use (tool calling, multi-step workflows, retrieval, prompt and context design, evaluation)
- Current knowledge of frontier AI models and agent tooling, with the ability to explain trade-offs among models, frameworks and cost
- Experience connecting software or agents to business systems (for example Google Workspace, HubSpot, an ERP such as SAP, or similar), including authentication and permission design
- Strong communication skills, and comfort working with non-technical colleagues to understand their workflows
- Awareness of data security and privacy requirements when AI handles customer, financial or health-related data
- Legally authorized to work in the U.S.
Preferred
- Experience with Hermes or similar open agent frameworks, and with Google Cloud
- Hands-on experience with Google Workspace administration and APIs, Apps Script, and HubSpot
- Experience with LIMS, SAP or other laboratory and enterprise operations systems
- Domain knowledge of sequencing services or genomics, especially bioinformatics (pipelines, workflow tools such as Airflow, QC and reporting)
- Experience in a regulated environment (CLIA/CAP, ISO 9001 or ISO 27001)
- Experience with SQL and data pipelines
Benefits
- Medical, Dental, and Vision insurance (100% employer-paid premium)
- 401K with immediate participation and company match after 1 year
- Paid time-off with roll over option
- Long-term employment cashable vacation
- 2-hour off for an annual check-up
- Lunch allowance and drinkware reimbursement
- Visa sponsorship is offered when needed
- Money Gifts for congratulatory/condolences
- Free gym facilities near the company
Compensation
- Base salary range: $70,000 to $140,000, depending on experience and qualifications, plus a performance-based bonus
Psomagen is an equal opportunity employer.
About Psomagen
Psomagen, Inc. is a U.S. genomics services company headquartered in Maryland, operating CLIA/CAP-certified laboratories. We provide sequencing, single-cell, spatial, proteomics and bioinformatics services to academic, foundation, pharma and clinical customers. We are building AI into how the company operates, so that our teams spend less time on routine work and more time on science and customers.