Ema is building the agentic AI operating system for enterprises. We help some of the world’s largest organizations transform deeply manual, brittle business processes into reliable, measurable, production-grade automated systems using AI agents, integrations, and human-in-the-loop UX. At Ema, success means real workflows running in production, used daily by business teams, with measurable outcomes.We’re founded by leaders from Google, Coinbase, and Okta, backed by top-tier investors, and scaling rapidly. As we grow, we’re building a team of engineers who don’t just ship code — they own outcomes.Customer Value Engineering is Ema’s forward-deployed, production-focused engineering group. CVE engineers sit at the intersection of Applied AI systems, real customer business processes and enterprise-grade reliability, security, and integrations.In this role you will work directly with customers and internal product/engineering teams to design, build, deploy, and improve agentic systems that actually move business metrics. If you want to move beyond demos and prototypes and learn how real AI systems behave in production this role is ideal for you.What You’ll Work OnDesign agentic workflows that map customer business processes to multi-agent systems with clear success criteriaBuild and deploy AI applications using Ema’s platform: agents, tools, integrations, human-in-the-loop workflowsImplement integrations with enterprise systems (CRM, ticketing, data stores, internal APIs)Debug production issues across the stack — model behavior, orchestration logic, permissions, data quality, UXRun evaluations using golden datasets- test data generation, offline tests, regression checks, and real user feedbackCollaborate closely with customers (Ops, IT, business users) to deliver measurable value post launchPartner with Product & Core Engineering to feed learnings back into the platform and improve reusabilityWho you are3+ years of production software engineering experienceAt least one real production deployment of a GenAI/LLM-powered system (not just POCs)Strong programming skills in Python and/or TypeScriptPractical experience with prompt and instruction design beyond basics , Tool/function calling and structured outputsPractical experience with Retrieval and grounding (RAG, embeddings, chunking strategies)Practical experience with Human-in-the-loop workflows and safe rollout patternsPractical experience with validation techniques (golden sets, offline evals, error analysis)Experience integrating with enterprise systems via APIs (REST/JSON), auth (OAuth, service accounts)Comfort working with real customer data and operational constraintsClear written and verbal communication with technical and non-technical stakeholders