Senior Forward Deployed AI Engineer

🕒 August 25

☕ Washington – Remote

☕ Washington – Remote

💵 $140k - $225k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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AZX

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2024

💼 Consulting

📦 Logistics

🏗️ Construction

Consulting • Logistics • Construction

AZX is a public benefit corporation delivering AI solutions specifically tailored for the energy, real estate, and supply chain industries. They focus on solving client problems expediently by leveraging innovative strategies and engineering AI-enabled solutions that provide measurable results. With a mission-driven approach, AZX emphasizes creating impact in both organizational efficiency and environmental sustainability.

📋 Description

• Scope, build, deploy, and measure AI systems inside client environments • Own technical delivery end to end, including discovery support, solution design, build, deployment, and handover • Build eval harnesses, replay loops, guardrails, cost/latency budgets, monitoring, and uncertainty-handling paths • Extract structured facts from messy documents and build deterministic checks for money- and compliance-sensitive answers • Optimize pipelines for cost and quality using models, rules, caching, and replay harnesses • Design and ship high-stakes systems such as after-hours voicemail triage • Establish and track client KPIs, baselines, and instrumentation before and after deployment • Work with client IT/security teams, conduct demos and POCs, and relay field-learned requirements to the platform team • Collaborate across DevOps, infrastructure, data pipelines, front end, and back end as engagements require

🎯 Requirements

• 5+ years of shipping LLM/agentic systems to production users—not prototypes—with structured outputs, tool use, retrieval, guardrails, and an eval loop • Technical toolkit including small task models, OCR, ASR, classification, reranking, classical NLP, fine-tuning/distillation, deterministic rules, and caching • Full-stack delivery skills: Python/FastAPI backends, React/TypeScript front ends, deployment, monitoring, real test coverage, and careful data handling • Experience deploying inside another organization's cloud, identity provider, repositories, and compliance regime • Strong stakeholder skills, including discovery with operators and executive readouts • Comfort with ownership under ambiguity • Practical fluency with Python, async/FastAPI/Pydantic, TypeScript/React, Postgres/pgvector, Redis, LLM provider APIs, RAG/hybrid retrieval, and agent frameworks • Familiarity with Docker, Terraform/Bicep, Azure and/or AWS, enterprise SSO (SAML/OIDC, Entra), observability, and cost tracking • Track record with enterprise integrations such as SharePoint, Salesforce, and SAP/ERP-class systems • Bachelor's Degree; Master's is a plus • Must be willing to travel to the Seattle area for the final interview and travel 2x/year for company summits • Must be currently authorized to work in the United States on a full-time basis • Unable to sponsor or take over sponsorship of employment visas

🏖️ Benefits

• Competitive early-stage startup compensation based on capabilities, experience, and location • Bonus eligibility • Health insurance with meaningful coverage for dependents • Flexible paid time off • Equity • Fully remote culture with a cluster of teammates in Seattle