Forward Deployment Engineer

Alterion•San Francisco, CA

2d•Hybrid

About The Position

This position is for our Forward Deployment Engineering team. You'll be one of the first engineers our customers meet, and part of the team who decides what "Alterion in production" actually means. You will be joining a specialized force of engineers who support our large enterprise customers. Embedded with customer engineering, platform, and security teams; you'll deploy Alterion, help shape the product with customer feedback, and directly contribute code into how the product is built. Not pre-sales. Success is healthy production deployments, integrations that survive real load, and product capabilities that exist because you fought for them.

Requirements

2+ years of experience in software engineering, with meaningful time in customer-facing technical roles (forward-deployed, solutions, integrations, or similar).
Mastery of on-premise deployments in secure environments using Kubernetes and Docker
Strong Typescript, Python skills, and experience building production services, integrations, or data pipelines.
Hands-on experience working with LLMs (APIs or open-source models) or agent frameworks in real systems.
Track record of shipping complex technical work in ambiguous, fast-changing environments.
Strong written and verbal communication; comfortable moving between an engineer's terminal and a stakeholder's whiteboard in the same afternoon.

Nice To Haves

Experience deploying AI/ML systems, observability platforms, or developer tooling into enterprise environments.
Background in engineering-focused consulting a strong plus
Familiarity with agent frameworks (LangChain, LangGraph, custom orchestrators), MCP, or production GenAI stacks.
Exposure to enterprise security and governance concerns (SSO, RBAC, audit logging, SOC 2, data residency).
Experience as an early engineer at a startup, or in a founding forward-deployed function.

Responsibilities

Lead end-to-end technical deployments of Alterion at enterprise customers, from initial integration through production rollout.
Build custom integrations and adapters against customers' agent frameworks, model providers, and observability stacks, often as the reference implementation that ships back into the product.
Configure and tune policies, evaluators, and dashboards for each customer's domain, risk profile, and operational model.
Diagnose and resolve issues spanning customer environments, agent behavior, and Alterion's platform, often without a clean reproduction.
Translate field learnings into prototypes, internal tools, and proposed product changes that benefit every future deployment.
Partner closely with product, core engineering, and with founders; to feed sharp, well-scoped requirements into the roadmap.