NMK Global Inc. is a global IT Services & Solutions company specializing in IT Staffing, Technology Consulting, Workforce Solutions, and Application Development Services. We help organizations build high-performing technology teams by connecting them with exceptional talent across a wide range of industries. Our expertise, industry knowledge, and consultative approach enable clients to achieve successful business outcomes while helping professionals advance their careers.
Job Title: Senior Applied AI Engineer – Agentic Systems
Location: Mountain View, CA
Job Description:
Agentic Feature Development & Full Stack Delivery:
• Design, build, and ship agentic features directly within EAS — autonomous workflow agents, multi-step task orchestration, tool-calling loops, and human-in-the-loop interaction patterns
• Own agentic features end to end — from architecture and implementation through testing, hardening, and production deployment
• Identify high-value automation opportunities within EAS workflows and translate them into well-scoped, shippable features
• Integrate new agentic capabilities cleanly into an existing product codebase without disrupting existing functionality
• Own the full stack of agentic feature delivery — backend orchestration, API integration, and front-end surfaces that expose agent capabilities to enterprise users
• Build RAG pipelines over structured and unstructured data to power intelligent retrieval, decision support, and workflow automation within EAS
• Build memory and state management systems that allow agents to maintain context across multi-step, long-running workflows
Agentic AI — Core Requirement:
• Build production-grade agentic systems with the reliability, observability, and failure handling that enterprise software demands
• Design evaluation harnesses to continuously test agent accuracy, behavioral consistency, and edge case handling
• Build guardrails, fallback logic, and escalation patterns that ensure agents degrade gracefully and keep users in control
• Instrument agentic features with logging, tracing, and monitoring to observe agent behavior in production and iterate with confidence
• Participate in architecture and design reviews — contributing agentic expertise and maintaining quality standards across short delivery cycles
• Contribute to shared agentic patterns and reusable components that raise the capability baseline for the broader EAS engineering team
• Define and implement evaluation frameworks to measure agent accuracy, task completion, and behavioral consistency across diverse inputs and edge cases
• Experience with both automated eval pipelines (unit-level tool call testing, end-to-end trace evaluation) and human-in-the-loop review workflows for validating agent outputs in production
Required Experience:
• Demonstrated hands-on experience building agentic AI capabilities inside a product — multi-step orchestration, tool-calling agents, memory systems, and human-in-the-loop flows used by real users in production
• Deep familiarity with agent frameworks — LangGraph, Anthropic SDK, OpenAI Agents SDK, CrewAI, AutoGen, or similar — applied in product feature delivery, not research
• Strong understanding of agentic design patterns: planning loops, tool registries, context window management, agent state machines, and failure handling
• Experience building and integrating RAG pipelines into product workflows
• Experience building production guardrails and evaluation frameworks for agentic features
• Strong full-stack engineering skills with production experience in Python and/or TypeScript
• 5+ years of full-stack software engineering with a strong shipping record
• 1+ years of hands-on experience building agentic AI features in production products
Preferred:
• Experience integrating agentic capabilities into SaaS or fintech products at scale
• Familiarity with Intuit's developer platform or QuickBooks APIs
• Exposure to regulated or high-accuracy domains where agent reliability and auditability are non-negotiable
NMK Global Inc. is an Equal Opportunity Employer. We are committed to creating an inclusive workplace and consider all qualified applicants without regard to age, race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity, or any other characteristic protected by applicable law.
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