Software Engineer – AI Systems, Go

🕒 Ontem

🌵 Arizona, Colorado, +15 estados a mais – Remoto

🌵 Arizona – Remote ⛰️ Colorado – Remote 🌽 Illinois – Remote 🌪️ Kansas – Remote 🐎 Kentucky – Remote ⚜️ Louisiana – Remote 🎰 Nevada – Remote 🏖️ New Jersey – Remote 🌲 North Carolina – Remote 🌾 North Dakota – Remote 🏈 Ohio – Remote 🦀 Maryland – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote 🧀 Wisconsin – Remote

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🤖 Engenheiro de IA

👻 Score fantasma 12%

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Stanbridge University

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 1996

📚 Educação

🏥 Saúde

Education • Healthcare

A Stanbridge University é uma instituição privada de ensino superior focada nas profissões de saúde aliada e enfermagem. Ela oferece programas acreditados e orientados para licenciamento, incluindo enfermagem vocacional (LVN), Bacharelado em Ciências de Enfermagem (BSN), Mestrado em Ciências de Enfermagem (MSN-Ed), Mestrado em Terapia Ocupacional (MSOT), Assistente de Terapia Ocupacional (OTA) e Assistente de Fisioterapia (PTA), oferecidos em vários campi no sul da Califórnia (Orange County, Los Angeles, Riverside, San Diego) e online. A escola enfatiza rigor acadêmico, inovação e tecnologia educacional, serviços de apoio ao estudante e preparação para licenciamento profissional (com notáveis altas taxas de aprovação no exame NCLEX-RN reportadas para vários campi). A Stanbridge também destaca o alcance comunitário, serviços para ex-alunos e prêmios/reconhecimentos de organizações como a Classificação Carnegie e classificações externas.

Descrição

• Design, develop, test, deploy, and operate production-quality software and backend services, primarily using Go (Golang) • Architect and build AI agents and agent-based systems using tools, APIs, state, and context for complex multi-step workflows • Design durable workflows with checkpointing, resumption, retries, recovery, and safe continuation after partial failures or interruptions • Define responsibilities across models, agents, tools, APIs, data sources, services, and deterministic application logic • Design integrations across multiple AI model providers, including routing, failover, rate-limit management, health monitoring, and degradation strategies • Build safeguards including structured-output validation, error handling, retries, quality gates, evidence validation, and automated recovery • Develop testing strategies for non-deterministic AI behavior using fixtures, recorded/replayed interactions, regression suites, evaluation harnesses, and quality baselines • Develop observability through tracing, metrics, logging, evaluation data, and replayable execution histories • Design human-in-the-loop workflows for review, approval, intervention, and workflow-state modification • Build and maintain APIs, backend services, relational data models, job-processing infrastructure, and application components • Develop secure ingestion and processing methods for user-supplied documents and external content • Optimize reliability, latency, throughput, scalability, output quality, and cost per execution • Build reusable patterns and shared components for agents, providers, tools, workflows, and output types • Own technical problems from investigation and architecture through implementation, deployment, monitoring, troubleshooting, and production operation • Collaborate with product stakeholders and domain experts to translate qualitative requirements into measurable behavior and technical solutions • Contribute to architectural decisions and engineering standards for the University's AI-powered applications • Establish foundational architecture and engineering practices for Stanbridge University's broader AI capabilities

🎯 Requisitos

• Substantial professional experience developing and operating production software, with strong experience in Go (Golang) or demonstrated depth in another backend language with the ability to become productive in Go quickly • Hands-on experience shipping an LLM-backed application, AI agent, or agent-based system into production and supporting it after deployment • Strong understanding of AI application architecture, including how models, agents, tools, APIs, data sources, services, and application logic interact • Demonstrated distributed-systems engineering knowledge, including concurrency, asynchronous processing, queues, idempotency, retries, partial failure, state management, and recovery • Experience designing systems that remain reliable when individual services, providers, or workflow stages fail • Demonstrated testing discipline for systems involving non-deterministic behavior • Strong experience designing and consuming HTTP APIs • Experience with relational databases, SQL, and persistent application state • Experience building, deploying, monitoring, and troubleshooting backend services in production environments • Understanding of software architecture, testing, debugging, observability, and production engineering practices • Ability to independently own ambiguous technical problems from investigation through production implementation • Strong analytical judgment and the ability to balance reliability, quality, performance, complexity, and cost • Preferred: Experience with AI agent frameworks, orchestration patterns, or custom agent architectures • Preferred: Experience with retrieval-augmented generation (RAG), embeddings, vector databases, semantic search, or knowledge-retrieval architectures • Preferred: Experience developing evaluation and observability systems for LLM applications • Preferred: Experience with judge models, structured-output validation, evidence checking, or other AI quality-control mechanisms • Preferred: Experience designing human-in-the-loop workflows • Preferred: Experience with document processing, headless-browser rendering, text-to-speech, image generation, video generation, or other media pipelines • Preferred: Experience with event-driven architectures, durable job queues, and asynchronous processing at scale • Preferred: Experience with containers, cloud infrastructure, CI/CD, and production deployment environments • Preferred: Understanding of prompt injection, authorization boundaries, data isolation, and security considerations • Must reside in an eligible state at the time of employment • Applicants must be legally authorized to work in the United States • Stanbridge University does not provide employment-based immigration sponsorship • Official transcripts are required prior to hire • Degrees earned outside the United States must be evaluated by a recognized credential evaluation service • A job-related assessment may be required during the interview process • Employment verification will be conducted to validate work experience • Offers of employment are contingent upon successful completion of a background check • Must be able to perform each essential duty satisfactorily and be physically present in the office unless otherwise noted • Ability to meet stated physical demands, including sitting for extended periods and lifting, carrying, and/or moving objects weighing 10–25 pounds as needed

🏖️ Benefícios

• Health Care Plan (Medical, Dental & Vision) • Retirement Plan (401k) • Exciting university events • Seasonal motivational health and wellness challenges • Work/Life Balance initiatives • Onsite wellness program / Staff Chiropractor • Life Insurance (Basic, Voluntary & AD&D) • Paid Time Off (Vacation, Sick & Public Holidays) • Family Leave (Maternity, Paternity) • Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions