Benchling

Benchling

Agentic AI Engineer

Remote, US · Staff+

Sponsorship not specifiedDetected 60 days ago
TypeScriptPythonNode.jsVector DatabasesCI/CDTemporalMachine LearningAirflowLLMsRAGAgentic AILangGraphAI OrchestrationA/B TestingCybersecurityComplianceConfluenceSystems EngineeringHIPAAResearchLeadershipCommunicationMentoringGxP

About the role

  • Biotechnology is rewriting life as we know it, from the medicines we take, to the crops we grow, the materials we wear, and the household goods that we rely on every day.
  • But moving at the new speed of science requires better technology.
  • Benchling's mission is to unlock the power of biotechnology.

Responsibilities

  • Make clear build vs. buy decisions across the stack with documented rationale.
  • Build and ship the early portfolio yourself: Write production code at least half your time, particularly during the team's first year.
  • Stand up the CI/CD, testing, evaluation, and deployment infrastructure for agentic systems - leveraging existing patterns from Benchling's Build organization wherever possible.
  • Graduate prototypes from the AI Product Manager's discovery cycles into hardened, production-grade systems and own production support under a "you build it, you run it" model.
  • Design for enterprise from day one: Build for multi-tenant isolation, secrets management, audit logging, payload encryption, role-based access controls, and human-in-the-loop controls calibrated to risk.
  • Partner with Security Engineering on threat modeling for agentic architectures - prompt injection, tool misuse, data exfiltration vectors.
  • Enable builders across the company: Coach power users and departmental teams on production patterns, develop the criteria that decide which prototypes graduate into enterprise-grade systems, and build the internal-facing developer experience - templates, SDKs, sandboxes - that lets builders outside this team ship safely.
  • Partner across functions: Work closely with our Data, Analytics & Systems team peers on the source-of-truth datasets and pipelines that agentic systems depend on.
  • Engage with department leaders on the workflows we're transforming, and with Benchling's platform and infrastructure teams to leverage existing capabilities rather than build parallel systems.
  • Drive technical hiring through interview loop design, bar-raising in interviews, and representing the team to senior candidates.

Requirements

  • Production experience with at least two of: Python, TypeScript/Node.js, Go
  • comfort with working across the stack.
  • Track record of going from zero to one: a platform, function, or product area you built up from scratch and scaled.
  • Experience operating in regulated or security-sensitive environments.
  • You can translate department workflows into engineering plans, and engineering tradeoffs into business language.
  • 7+ years of professional software engineering experience building production systems, with strong systems design fundamentals.
  • Hands-on experience building production systems that integrate with LLMs and/or agentic patterns: orchestration, tool use, memory and state management, evaluation, and observability.
  • Demonstrated understanding of how to optimize workloads across deterministic and non-deterministic capabilities, striking the right architectural balance for the needs of the specific solution being implemented.
  • Hands-on expertise with LLM APIs (OpenAI, Anthropic), agentic frameworks (LangChain, CrewAI), RAG over business content (Confluence, contracts, policies), vector databases (pgvector, Pinecone), workflow automation (n8n, Langflow), and LLM observability and evaluation tooling (LangSmith, Arize).
  • Experience operating in regulated or security-sensitive environments. Solid grasp of enterprise security fundamentals - encryption, access controls, audit logging, secrets management.
  • Comfortable exercising technical leadership independent of positional authority. You set direction, raise the bar in design reviews, and grow other engineers through influence.
  • Build software with a product-first approach. You ship code quickly and care about the real-world impact of your work.
  • Enjoy ownership and building key pieces of platforms.
  • Strong communication skills with both technical and non-technical audiences. You can translate department workflows into engineering plans, and engineering tradeoffs into business language.
  • Interest in learning more about life science (prior knowledge is not required).

Nice to have

  • Background in enterprise SaaS, life sciences, or biotech.
  • Familiarity with LLM orchestration patterns and frameworks (LangGraph, MCP, agent SDKs from major model providers).
  • Experience with async orchestration (Temporal, Prefect, Airflow) applied to long-running or agentic workflows.
  • Familiarity with SOC 2, HIPAA, or GxP compliance as they apply to AI systems.
  • Benchling welcomes everyone.
  • We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences.
  • We also consider for employment qualified applicants with arrest and conviction records, consistent with applicable federal, state and local law, including but not limited to the San Francisco Fair Chance Ordinance.

Skills

  • When a breakthrough is delayed, the world waits.
  • Getting a molecule from discovery to patients, or a crop from lab to field, involves thousands of slow, manual, disconnected steps.
  • AI has the potential to change this, compressing decades of R&D work into years.
  • But that only happens when clean, structured scientific data and AI are built into how science gets done.
  • Benchling is the AI platform for biotech R&D.

Company info

  • Coach power users and departmental teams on production patterns, develop the criteria that decide which prototypes graduate into enterprise-grade systems, and build the internal-facing developer experience - templates, SDKs, sandboxes - that lets builders outside this team ship safely.
  • Partner across functions: Work closely with our Data, Analytics & Systems team peers on the source-of-truth datasets and pipelines that agentic systems depend on. Engage with department leaders on the workflows we're transforming, and with Benchling's platform and infrastructure teams to leverage existing capabilities rather than build parallel systems.
  • Elevate engineering standards: Set the bar for code quality, testing and evaluation, documentation, and on-call practices. Drive technical hiring through interview loop design, bar-raising in interviews, and representing the team to senior candidates. Mentor engineers on the team and other AI builders across the company.
  • Production experience with at least two of: Python, TypeScript/Node.js, Go; comfort with working across the stack.
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This listing is sourced directly from Benchling's careers page and normalized into a canonical job model.