# Forward Deployed Engineer

**Company:** [Collate](https://hotfix.jobs/companies/collate)
**Location:** San Francisco, CA
**Role:** Solutions Architecture
**Skills:** Go, Postgres, TypeScript, React, Python, AWS, Kubernetes, Terraform, Argo Cd, S3, Kafka, Opensearch, LLMs, Prompt Engineering, Agent Development
**Posted:** 2026-04-28

> 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.

## Job Description

## 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.

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**Canonical:** https://hotfix.jobs/jobs/e33daa2c-06a1-41cb-8223-99a58699bbe7