Note: The job is a remote job and is open to candidates in USA. Netomi is an agentic AI platform for enterprise customer experience, helping global brands automate customer journeys with scalable AI agents. The Staff Agentic AI Engineer will build and optimize production-grade agentic systems for marketing-oriented enterprise automation, including agent orchestration, tool use, retrieval, evaluation, observability, and scalable Python services in AWS.
Responsibilities
- Design, build, and improve production-grade AI agentic systems that optimizeweb-based and chat-based experiences leveraging grounded, structured data
- Architect agent workflows involving reasoning, tool use, retrieval, guardrails, escalation paths, and performance monitoring
- Evaluate Deep Agent, Claude Agent, OpenAI Agent, LangGraph, and other emerging agent orchestration patterns and frameworks for marketing-oriented use cases
- Build and maintain LLM evaluation systems, including LLM-as-judge workflows, regression evals, guardrail testing, quality metrics, and production behavior analysis
- Diagnose agent performance issues across prompts, tool selection, retrieval quality, latency, cost, task completion, and failure modes
- Design and implement RAG and embedding-based capabilities for enterprise knowledge access and automation workflows
- Build scalable Python services and platform components deployed in AWS cloud environments
- Partner with product, platform, and engineering teams to translate emerging agentic AI capabilities into reliable platform features
- Establish engineering best practices for continuous optimization of agentic systems
- Stay current with advances in LLMs, agent architectures, AI coding tools, eval methodologies, retrieval systems, and enterprise automation
Skills
- • Bachelor's Degree or higher in a quantitative field (Statistics, Computer Science, Engineering, Mathematics)
- • 5-7+ years of experience in AI/ML engineering, applied machine learning, natural language processing, and/or AI systems development
- • 3-5 years of experience in applying AI, data science, and machine learning in the marketing space
- • Experience leveraging data from Adobe Experience Platform, AdobeCommerce/Magento, Adobe Real-time CDP, Adobe Target, and/or AdobeAnalytics/Customer Journey Analytics for data science modeling and performance analysis
- • Strong Python engineering skills and experience building scalable production software systems
- • Hands-on experience with LangGraph, LangChain, or related agent orchestration frameworks
- • Strong understanding of RAG, embeddings, retrieval quality, and knowledge-grounded generation
- • Experience deploying or operating systems in AWS cloud environments
- • Daily use of AI coding tools such as Codex, Claude Code, Cursor, or similar tools as part of software development workflows
- • Strong engineering judgment, ability to work independently, and comfort operating as a senior individual contributor on ambiguous technical problems
- • Master's Degree or higher in a quantitative field (Statistics, Computer Science,Engineering, Mathematics)
- • Experience building or using knowledge graphs for enterprise knowledge modeling,retrieval, reasoning, or personalization
- • Hands-on experience building production LLM or AI agent systems
- • Experience designing agent architectures involving tool use, reasoning flows, retrieval, memory, guardrails, and workflow orchestration
- • Experience developing AI evaluation systems, including LLM-as-judge, guardrail evaluation, regression testing, and production quality measurement
- • Experience with enterprise automation platforms, customer experience systems, workflow automation, or AI-powered business process automation
- • Experience with observability and tracing for LLM or agent systems
- • Experience optimizing agent systems for latency, cost, reliability, safety, and task success
- • Experience with vector databases, search infrastructure, model routing, caching, ormulti-model architectures
Company Overview
Company H1B Sponsorship