# Forward Deployed AI Engineer | San Diego, CA at Cadre AI

Cadre AI is hiring a Forward Deployed AI Engineer | San Diego, CA for a remote role open to applicants in United States. Level rates it Builds AI ●●●●; you can [apply on Cadre AI](https://jobsbylevel.com/go/1fe4d608-f1d8-43a0-9785-f4196d3e069a?utm_medium=ai-agent).

AI Level 4, AI centrality 90 out of 100. Remote (San Diego, United States).

## Details

- Company: [Cadre AI](https://jobsbylevel.com/companies/cadre-ai)
- AI level: AI Level 4 (score 90 out of 100)
- Location: Remote (San Diego, United States)
- Posted: August 5, 2026
- Apply: https://jobsbylevel.com/go/1fe4d608-f1d8-43a0-9785-f4196d3e069a?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=forward-deployed-ai-engineer-san-diego-ca-at-cadre-ai-345d1f

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/forward-deployed-ai-engineer-san-diego-ca-at-cadre-ai-345d1f

## Description

About Cadre AI Cadre AI is an AI strategy and integration firm that builds production AI systems for B2B companies in private equity, wholesale lending, real estate, and SaaS. We don’t build decks about what AI could do. We ship systems that move revenue, compress costs, and automate the work that used to take entire teams. The Role The Forward Deployed AI Engineer is a critical role at Cadre AI. You are the person in the room with the client, the person writing the code, and the person architecting the system. There is no handoff between “strategy” and “execution.” You own both. You will embed directly with our clients to understand their operations, identify the highest-leverage AI opportunities, and then build and ship production systems that deliver measurable results. One week you might be designing an LLM pipeline that processes financial documents. The next, you’re standing up a voice agent for a construction company or building a revenue operations engine for a hardware manufacturer scaling globally. This role is AI-first in how you work, not just what you build. You use Claude Code, Cursor, Codex, and whatever tools let you ship quality code at a pace that would be impossible without them. Speed and quality are not tradeoffs here. They’re both the expectation. What You’ll Do Own Client Delivery End-to-End Embed with clients across private equity, lending, real estate, and SaaS to map their operations and identify the AI use cases that will move the business Run discovery sessions, translate business pain into technical architecture, scope the work, and then build it yourself Present to C-suite stakeholders, translating complex trade-offs into clear decisions with measurable expected outcomes Manage client relationships as a trusted technical partner, not a vendor. Clients should feel like you’re part of their team Build and Ship Production AI Systems Architect and deploy LLM/RAG pipelines, agent orchestration systems, conversational AI, document intelligence, and predictive analytics Use AI-native development tools (Claude Code, Cursor, Codex) to write, review, and iterate on production code at startup speed Build evaluation frameworks, regression suites, and observability layers that prove your systems work and catch when they don’t Convert proofs-of-concept into stable, monitored production services. The demo is not the deliverable. The running system is Design and enforce data quality rules, ETL pipelines, and secure cloud deployments across AWS, GCP, and Azure Drive Strategy and Scale the Practice Contribute to Cadre’s 8-pillar AI transformation framework, turning field learnings into repeatable playbooks Identify patterns across engagements and build reusable components, prompt libraries, and architecture templates that accelerate future pods Scout emerging models, tools, and research (Claude, GPT, Gemini, Llama, open-source). Run experiments and share what works with the team Mentor junior engineers through pair programming, design reviews, and hands-on coaching Who You Are 3+ years building software, with 2+ years focused on AI/ML systems in production (not notebooks, not proofs-of-concept) You have shipped LLM-powered products to real users and understand the gap between a working demo and a reliable system Hands-on with modern LLMs, RAG architectures, agent frameworks, and prompt engineering. You have opinions about when to use each and you can defend them Fluent in Typescript & Python and comfortable across the stack (React/Next.js, PostgreSQL, cloud infrastructure). You can build a full application, not just a model Exceptional communicator who can whiteboard architecture with engineers in the morning and present ROI to a CFO in the afternoon AI-native in how you work. You actively use AI coding tools to multiply your output and you’re always testing new ones Comfortable with ambiguity. You can walk into a client engagement with a vague problem statement and leave with a concrete plan Strong judgment about

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Source: https://jobsbylevel.com/jobs/forward-deployed-ai-engineer-san-diego-ca-at-cadre-ai-345d1f

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