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CollateCollateSan Francisco, CA

Forward Deployed Engineer

Leads end-to-end deployments of AI systems for life sciences customers, embedding with teams to identify issues, build production agents/workflows integrating with their infrastructure, and turn wins into platform patterns. Requires hands-on AI experience, 0-to-1 building, and clear communication across technical/non-technical audiences.

Salary not listed
On-siteSolutions Architecture

About the role

What You’ll Do

  • Lead end-to-end deployments of Collate’s AI systems inside life sciences organizations — owning scoping, build, and production rollout from first conversation to measurable workflow impact.
  • Go deep before you write a line of code. Embed with customer teams — medical writers, regulatory affairs, clinical ops — to understand what’s structurally broken, where the highest concentration of unsolved value lives, and what’s actually buildable.
  • Design and ship production AI systems — document generation agents, agentic workflows, data pipelines — that integrate with customers’ existing infrastructure and regulatory environments.
  • Define and run eval loops that measure system quality against workflow-specific benchmarks — acceptance criteria, output accuracy, reviewer expectations — and use that signal to improve deployed systems over time.
  • Turn early wins into repeatable patterns. The best of what you build ships to every Collate customer. What you discover in the field directly shapes what gets built next — you’re a core feedback loop between customers and the product team.
  • Communicate across every altitude. Translate technical tradeoffs into decisions and operating procedures for scientific, regulatory, and executive audiences — and bring that clarity back to Collate’s engineering and product teams.

What We’re Looking For

  • You’ve owned customer-facing AI deployments end-to-end — from scoping through production adoption — and can point to shipped systems that drove measurable workflow impact.
  • You have a 0-to-1 build track record. You’ve built production software from scratch in ambiguous environments and moved fast enough to learn — not just prototype.
  • You have hands-on production AI experience: prompt engineering, agent development, evaluation frameworks, and deployment at scale — not just familiarity with the landscape.
  • You’ve operated as a senior engineer or tech lead trusted to make technical decisions in ambiguous environments — without needing a defined spec or a clear path.
  • You communicate clearly across every altitude — as comfortable in a strategic discussion with a CTO as you are deep in a codebase, and able to translate tradeoffs into decisions for non-technical stakeholders.

Bonus: you have context in life sciences, regulated industries, or document-heavy workflows — and understand what it means to build for auditability, compliance, and high-stakes review cycles.

You think like a founder. When you walk into a customer, you’re curious about the business, digging into what’s broken, and figuring out what to build that doesn’t yet exist. You’re scrappy, resourceful, and want to do it at a higher level of ambition.

Modern Tech Stack

Collate uses a modern tech stack, targeting a highly reliable and available platform. We use Go for scalable backend services, Postgres as our main database, TypeScript & React for frontend development, and Python for AI & ML services.

Our infrastructure is hosted on AWS with Kubernetes for orchestration and Terraform + Argo CD for configuration management. Other key systems include S3, Kafka, OpenSearch, LLMs, and other AI models.

Skills

GoPostgresTypeScriptReactPythonAWSKubernetesTerraformArgo CdS3KafkaOpensearchLLMsPrompt EngineeringAgent Development
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