Go Cadre

Staff Forward Deployed AI Engineer

San Diego, USA · Staff+ · Full-time

Sponsorship not specifiedDetected 15 hours ago

PythonFull-Stack DevelopmentCode ReviewAWSGCPAzureRESTData EngineeringLLMsRAGAI OrchestrationDesign SystemsLeadershipCommunicationCollaborationMentoringAdaptability

About the role

As Staff AI Engineer, you are the technical leader and backbone of Cadre's San Diego engineering team.
You pair that leadership with serious technical depth.
You thrive here if leveling up the people around you energizes you as much as shipping the system yourself.

Responsibilities

Team Leadership and Mentorship Manage and mentor two engineers on the San Diego team, owning their technical growth, code quality, and delivery.
Set the engineering bar through rigorous code review, pairing, and reference implementations the rest of the team builds on.
Build the habits, patterns, and practices that make every engineer on the team measurably better quarter over quarter.
Technical Direction Drive architecture decisions across client builds: agentic workflows, RAG pipelines, document processing, and automation running in production.
Turn hard-won lessons from client builds into reusable internal tooling, templates, and documentation that compound across engagements.
Build and Ship Production AI Systems Stay hands-on with Cadre's most complex client systems, owning delivery end to end from LLM orchestration and evaluation to data pipelines, APIs, and cloud infrastructure.
Make pragmatic build decisions under real constraints: client timelines, legacy systems, messy data, and measurable business outcomes on the line.
Ship fast without sacrificing reliability; design systems that keep working long after the engagement ends.
Client Collaboration Join client calls when the conversation needs technical depth, walking stakeholders through system designs, trade-offs, and progress.
Translate ambiguous business problems into concrete system designs and delivery plans clients can commit to.

Requirements

Production cloud experience (AWS, GCP, or Azure), including deploying, monitoring, and maintaining systems that clients depend on daily.
you can explain an architecture decision to a non-technical executive without losing them.
You are on the forefront of the technology, reimagining how Cadre does AI and delivering the high-value solutions that set us apart with clients.

Skills

Evaluate new models, frameworks, and techniques as they emerge, and decide what enters Cadre's production toolkit.

Company info

You report to the Head of Client Engineering, and you will occasionally join client calls to walk stakeholders through what we are building and why.

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This listing is sourced directly from Go Cadre's careers page and normalized into a canonical job model.