FDE Applied AI Engineer - USA

Posted 2 Days Ago
Hiring Remotely in United States
Remote
128K-195K Annually
Entry level
Cloud • Information Technology • Business Intelligence • Consulting
The Role
Build and operate production AI capabilities across enterprise platforms, including agent runtimes, RAG, model routing, tool calling, guardrails, evaluation, monitoring, and cost optimization. Ship reliable, safe, measurable AI features; develop evaluation frameworks and quality controls; monitor production behavior; and collaborate with client-facing product, engineering, platform, backend, and security teams to deliver practical AI solutions.
Summary Generated by Built In

FDE Applied AI Engineer

This is a remote, client-facing consultant role with Inviso. In this position, you will support an external software development organization as part of Inviso’s delivery team, helping build production AI capabilities that customers can rely on in real operational workflows.

The Inviso Applied AI Engineer is responsible for building and operating AI capabilities across an enterprise platform, including agent runtimes, model routing, RAG, tool/function calling, guardrails, evaluation, monitoring, cost management, latency optimization, and production quality controls.

This role is focused on shipping AI that works in production, not demos. The ideal candidate understands how to move from prototype to monitored production systems, can evaluate AI behavior rigorously, and can partner with product and engineering teams to decide when AI is the right solution and when it is not.

This is a 100% remote role but may require some travel due to client needs.

Experience & Skills Required

  • Experience shipping software backed by LLMs, ML models, RAG systems, or agentic workflows to real production users.
  • Experience designing or implementing agent runtime, orchestration, model routing, tool/function calling, or AI workflow patterns.
  • Strong understanding of RAG, grounding, retrieval quality, prompt design, context management, and evaluation approaches.
  • Experience building evaluation harnesses, golden sets, regression checks, quality gates, or measurable AI performance frameworks.
  • Ability to treat cost, latency, reliability, and safety as first-class engineering constraints.
  • Experience building guardrails and controls for AI systems, including untrusted retrieved content, tool output risk, and failure modes.
  • Experience monitoring production AI behavior and improving systems based on evidence, not opinion.
  • Strong software engineering skills and ability to collaborate with backend, platform, product, and security teams.
  • Strong communication and collaboration skills for client-facing consulting environments.
  • Pragmatic mindset with the ability to prioritize business value and ship useful AI capabilities quickly and responsibly.

Desired Qualifications

  • Experience with Claude, GPT, Azure OpenAI, open-source models, model routing, fine-tuning, distillation, or small/edge models.
  • Experience with MCP, A2A, multi-agent orchestration, AI tool calling, or agent evaluation.
  • Experience with LLM-as-judge approaches calibrated against human evaluation.
  • Experience with semantic knowledge management, ontologies, knowledge graphs, or semantic layers.
  • Experience with AI development lifecycle practices across data, build, evaluation, deployment, monitoring, and continuous improvement.
  • Experience using AI-assisted development tools while maintaining strong review, testing, and safety discipline.

Success Criteria

Success in this role is measured by the ability to deliver AI capabilities that are useful, reliable, measurable, safe, and cost aware. Applied AI Engineers are expected to turn experiments into production features, build evaluation discipline into the delivery process, and help client teams make informed decisions about where AI creates real value.

Benefits:

At Inviso, we believe great talent should be rewarded with competitive pay, meaningful benefits, and room to grow. The base pay for this role ranges from $128,000 to $195,000 annually, reflecting the cost of labor across multiple US geographic markets. Actual compensation will be determined by factors such as location, job-related skills, experience, education or training, and the needs of Inviso’s different lines of business. Beyond base pay, we offer a strong benefits package that includes medical, dental, and vision insurance, a 401(k) plan with company match, annual training reimbursement, paid time off, paid holidays, and additional perks designed to support your well-being and long-term success.

Why Inviso?

  • Our?Culture & Values?are who we are.
  • Our commitment to excellence is interwoven with the way we care about our people. Our low attrition rate, high average employee tenure, and the number of people that have been with Inviso for 10, 15, even 20 years, speaks volumes to who we are as a company.
  • We are a meritocracy through and through. Those who excel, grow. There is no ceiling, we don’t tolerate politics.
  • Inviso has maintained a deep, well-established relationship with Microsoft for over 20 years. We are a top-rated supplier and are proud to be a Managed Partner with many credentials.

Skills Required

  • Experience shipping software backed by LLMs, machine learning models, RAG systems, or agentic workflows to production users.
  • Experience designing or implementing agent runtimes, orchestration, model routing, tool/function calling, or AI workflow patterns.
  • Strong understanding of RAG, grounding, retrieval quality, prompt design, context management, and AI evaluation approaches.
  • Experience building evaluation harnesses, golden sets, regression checks, quality gates, or measurable AI performance frameworks.
  • Ability to manage cost, latency, reliability, and safety as engineering constraints.
  • Experience building AI guardrails and controls addressing untrusted retrieved content, tool output risk, and failure modes.
  • Experience monitoring production AI behavior and improving systems based on evidence.
  • Strong software engineering skills and ability to collaborate with backend, platform, product, and security teams.
  • Strong communication and collaboration skills in client-facing consulting environments.
  • Pragmatic mindset focused on business value and responsible delivery of useful AI capabilities.
  • Experience with Claude, GPT, Azure OpenAI, open-source models, model routing, fine-tuning, distillation, or small and edge models.
  • Experience with MCP, A2A, multi-agent orchestration, AI tool calling, or agent evaluation.
  • Experience with LLM-as-judge approaches calibrated against human evaluation.
  • Experience with semantic knowledge management, ontologies, knowledge graphs, or semantic layers.
  • Experience with AI development lifecycle practices across data, build, evaluation, deployment, monitoring, and continuous improvement.
  • Experience using AI-assisted development tools while maintaining review, testing, and safety discipline.
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The Company
265 Employees
Year Founded: 2004

What We Do

Inviso Corporation is a global technology consulting firm based in Bellevue, Washington. The company specializes in helping organizations optimize security, performance, and digital decision-making by combining expertise in AI, data, marketing, and sales enablement. Their services include application development, business intelligence, and software asset management, catering to a diverse range of clients from small businesses to large enterprises.

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