AI Platform Engineer

Platform EngineerPlatform EngineerFull TimeRemoteTeam 1-10Since 1999H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

69 days ago

Salary

Not specified

Bachelor Degree3 yrs expEnglishAssembly

Job Description

• Design and Implement AI Workflows • Lead the design and deployment of enterprise-grade AI workflows using the Stack AI platform’s visual builder interface. • Construct dynamic pipelines that integrate large language models (LLMs), retrieval mechanisms, enterprise data sources, and multi-step business logic. • Architect solutions that address complex tasks such as document summarization, structured content generation, data-driven decision support, and automated process flows. • Ensure workflows follow modular design principles, are testable, maintainable, and compatible with DDC’s configuration and deployment lifecycle standards. • Develop and Orchestrate Agentic AI Solutions • Build autonomous AI agents that perform goal-directed reasoning, access tools and APIs, retrieve contextual information, and coordinate multi-step actions aligned to defined outcomes. • Implement robust retrieval-augmented generation (RAG) pipelines to ensure agents can access accurate, relevant, and timely knowledge from across DDC’s structured and unstructured data stores. • Design agents that address use cases ranging from proposal assembly to compliance automation, while incorporating fault handling, validation checkpoints, and human-in-the-loop controls to ensure reliability, auditability, and mission alignment.

Job Requirements

  • Minimum 3 years of professional experience in software development, data engineering, AI engineering, or a similar technical role supporting enterprise-scale systems.
  • At least 1 year of hands-on experience building and shipping generative AI applications or retrieval-augmented generation (RAG) systems that operated in real user-facing environments.
  • Experience must include designing workflows, using modern LLMs, integrating data sources, and solving practical AI delivery challenges.
  • Demonstrated experience owning the lifecycle of AI-driven solutions from concept through deployment.
  • Candidates should be able to provide a portfolio, demonstration artifacts, GitHub repositories, or equivalent examples of real AI systems such as chat assistants, workflow agents, knowledge tools, data extraction pipelines, or proposal-support agents.
  • Experience working with enterprise architectures, ideally including business processes, data architectures, content repositories, and application ecosystems.
  • Familiarity with environments where data is fragmented or inconsistent, and the ability to design AI workflows that operate effectively despite technical debt or process gaps.

Benefits

  • Health insurance
  • 401(k) matching
  • Paid time off
  • Professional development opportunities
  • Flexible work hours

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