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Inviso

Applied AI Engineer

Inviso

. Build and operate AI capabilities across an enterprise platform .

Posted 11/4/2026full-timeRemote • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and operating AI capabilities, with a strong focus on evaluation, monitoring, and production quality controls. Proficient in collaborating with cross-functional teams to deliver reliable and cost-effective AI solutions that create real business value.

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 DevelopmentModel RoutingTool/Function CallingEvaluation 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 Workflow PatternsAI Tool CallingMulti-Agent OrchestrationContinuous Improvement

Tech Stack

Tools & technologies
Azure

About the role

Key responsibilities & impact
  • Build and operate AI capabilities across an enterprise platform
  • Develop 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
  • Evaluate AI behavior rigorously
  • Partner with product and engineering teams to determine when AI is appropriate
  • Deliver useful, reliable, measurable, safe, and cost-aware AI capabilities
  • Turn experiments into production features
  • Build evaluation discipline into the delivery process
  • Help client teams make informed decisions about where AI creates real value

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
  • 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
  • Remote work arrangement
  • Permanent employee position
  • Direct-hire employment
  • Opportunity to work with a global multi-billion dollar software conglomerate
  • Client-facing consulting environment