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Mid-Level AI Platform Engineer — SAIQ

1 month ago
United States
Contract
Mid Level
Machine Learning Engineer
Software Development
Git Salesforce SAP
Apply Now
Aspenview Technology Partners

Aspenview Technology Partners

Aspenview Technology Partners empowers IT organizations by providing agile, expert-staffed nearshore IT teams that deliver scalable capacity and advanced capabilities in software development, data engineering, business intelligence, artificial intellig...

Internet Software & Services
View All Jobs 11

Description

  • Triage production issues from reproduction through diagnosis, resolution, verification, and communication.
  • Own output quality for multi-agent research and qualification pipelines, including citations, factual accuracy, and result completeness.
  • Deliver scoped product enhancements end to end across workflows, imports, assignments, notifications, and UI.
  • Manage releases across local, development, staging, and production environments with explicit sign-off.
  • Keep production hotfixes controlled, reviewed, and narrowly scoped.
  • Manage feature flags, tenant configuration, and environment variables across tenants.
  • Establish systematic regression testing, pre-demo verification, and repeatable release checks.
  • Implement approved architectural designs accurately and consistently.

Requirements

  • 4–8 years of professional software engineering experience, including ownership of production systems in a startup or growth-stage environment.
  • Hands-on experience building and debugging LLM and multi-agent workflows, including prompt/context engineering, tool calling, evaluation, guardrails, and cost or latency control.
  • Strong backend and API development skills with experience in Git/PR workflows, logs, traces, and distributed or workflow-orchestrated systems.
  • Experience with durable workflow orchestration, feature flags, and multi-tenant architecture.
  • Proficiency with AI coding tools and ability to review and validate generated code.
  • Strong QA mindset with experience testing work and anticipating regressions.
  • Direct communication skills and ability to collaborate with product, CSM, sales, and other non-engineering stakeholders.
  • Experience with data quality, provenance, citation, or fact-verification systems preferred.
  • Exposure to MCP or similar AI integration layers preferred.
  • Experience with Anthropic, OpenAI, ServiceNow, Salesforce, or SAP is preferred; ServiceNow experience is a strong plus.
  • Experience in CRM, sales technology, or revenue intelligence products preferred.
  • Must be authorized to work in the country of residence without current or future visa sponsorship.
  • Must be available for a fully remote engagement with overlap during U.S. Eastern business hours.

Benefits

  • Competitive base compensation.
  • Flexible hybrid, remote, or in-office work model.
  • Ongoing contract engagement with potential to extend or convert.
  • Growth opportunities and leadership visibility.
  • Inclusive, respectful, people-first culture.
  • Company investment, recognition, and celebration of employee contributions.

Interested in this position?

Apply directly on the company website

Apply Now

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