FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore 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 production quality controls, evaluation frameworks, and collaboration across product and engineering teams. Proficient in managing AI systems with an emphasis on cost, latency, reliability, and safety.
Highest-signal resume keywords
Experience Shipping Software Backed By LLMsStrong Understanding Of RAG And Evaluation ApproachesExperience Building Evaluation Harnesses And Quality GatesAbility To Collaborate With Cross-Functional TeamsExperience With AI Development Lifecycle Practices
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Agent Runtime DesignModel RoutingTool/Function CallingAI Workflow PatternsEvaluation FrameworksCost ManagementLatency OptimizationGuardrails For AI SystemsMonitoring Production AI BehaviorSoftware Engineering Skills
Soft Skills
Strong Communication SkillsCollaboration SkillsPragmatic Mindset
Tools & Technologies
ClaudeGPTAzure OpenAIOpen-Source ModelsMCPA2AMulti-Agent OrchestrationAI Tool CallingSemantic Knowledge ManagementKnowledge Graphs
Industry Keywords
AI CapabilitiesProduction Quality ControlsEvaluation DisciplineAI Development LifecycleClient-Facing Consulting
Tech Stack
Tools & technologiesAzure
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
- Ship AI capabilities that work reliably in production rather than only building demos
- Move AI systems from prototype to monitored production
- Evaluate AI behavior rigorously
- Partner with product and engineering teams to determine when AI is appropriate
- 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
- Direct-hire permanent employee position