AI Engineer

Inviso

Applied AI Engineer building reliable, measurable production AI systems for Inviso’s enterprise clients. Operating LLM, RAG, agent, evaluation, monitoring, and safety capabilities.

Posted 9/2/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $150,000 - $195,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating AI capabilities, with a strong focus on implementing agent runtimes, model routing, and evaluation frameworks. Proven ability to collaborate with cross-functional teams to deliver reliable, measurable, and cost-effective AI solutions.

Highest-signal resume keywords

Experience Shipping Software Backed By LLMsStrong Understanding Of RAG And Evaluation ApproachesExperience Building Evaluation Harnesses And Quality GatesStrong Software Engineering SkillsExperience With AI Development Lifecycle Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Agent Runtime ImplementationModel RoutingAI Workflow PatternsEvaluation FrameworksCost ManagementLatency OptimizationGuardrails For AI SystemsMonitoring Production AI BehaviorPrompt DesignSemantic Knowledge Management

Soft Skills

Strong Communication SkillsCollaboration SkillsPragmatic Mindset

Tools & Technologies

ClaudeGPTAzure OpenAIOpen-Source ModelsMCPA2AAI-Assisted Development Tools

Industry Keywords

AI CapabilitiesAI Development LifecycleMulti-Agent OrchestrationKnowledge GraphsContinuous Improvement

Tech Stack

Tools & technologies

Azure

About the role

Key responsibilities & impact

Support an external software development organization as part of Inviso’s delivery team
Build and operate AI capabilities across an enterprise platform
Implement agent runtimes, model routing, RAG, tool/function calling, guardrails, evaluation, monitoring, cost management, latency optimization, and production quality controls
Move AI systems from prototype to monitored production systems
Evaluate AI behavior rigorously
Partner with product and engineering teams to determine when AI is the right solution
Turn experiments into useful, reliable, measurable, safe, and cost-aware production features
Build evaluation discipline into the delivery process
Help client teams make informed decisions about where AI creates real value
Travel as needed due to client needs

Requirements

What you’ll need

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
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
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

Benefits

Comp & perks

medical insurance
dental insurance
vision insurance
401(k) plan with company match
annual training reimbursement
paid time off
paid holidays
additional perks designed to support your well-being and long-term success