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Careers.Azx.Io

Forward Deployed AI Engineer (Senior)

Who can apply: US-based role. The employer has not said which states are eligible — confirm before applying.
Location as listed by the employer: “United States”
Apply on Careers.Azx.Io's site ↗

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About this role

Careers.Azx.Io is hiring for a Forward Deployed AI Engineer (Senior) role (full-time). See the official posting for full details.

Requirements

  • 5 + years of full-stack delivery skills: Python/FastAPI backends, React/TypeScript front ends, deployment, monitoring, real test coverage, and careful data handling since your pod is the whole team..
  • Experience shipping LLM/agentic systems to production users, not prototypes, with structured outputs, tool use, retrieval, guardrails, and an eval loop you can defend to a skeptic.
  • A well-stocked technical toolkit and the judgment to use it: small task models (OCR, ASR, classification, reranking), classical NLP, fine-tuning/distillation, deterministic rules, caching, and a frontier model only wher…
  • Experience deploying inside someone else's cloud, identity provider, repos, and compliance regime, and negotiating their IT constraints without losing the design.
  • Strong stakeholder skills; running discovery with front-line operators, delivering executive readouts, and pushing back plainly (with a cheaper or safer alternative already sketched) when the ask is wrong.
  • Comfort with ownership under ambiguity given a vague problem and a deadline, you return with a working thing or a good question
  • Practical fluency across our stack Python (async/FastAPI/Pydantic), TypeScript/React, Postgres/pgvector, Redis, LLM provider APIs, RAG/hybrid retrieval, and agent frameworks (LangGraph/AutoGen/CrewAI-class or hand-rolle…
  • Familiarity with enterprise deployment concerns: Docker, Terraform/Bicep, Azure and/or AWS, enterprise SSO (SAML/OIDC, Entra), and observability/cost tracking.

Summarized from the employer's posting — check the full posting for every requirement.