Staff AI Agent Engineer

DescriptionEmergence AI is building next-generation agentic AI systems that move beyond code generation to provable task completion, verification, and long-horizon autonomy. Our Platform focuses on automating complex, mission-critical data workflows, from ingestion and transformation through analysis, decisioning, and action.We work with customers in semiconductors, life sciences, and other data-intensive industries to turn fragmented, high-stakes data into trustworthy, continuously-operating AI Agents.We're seeking a Staff/Principal Agentic AI Engineer to define and own the production architecture for our autonomous agent platform. You'll build reliable, safe, and scalable systems that power complex agentic workflows, combining deep AI/ML expertise with systems engineering to create production-grade enterprise agents.What You'll DoBuild Production AI Agent SystemsDesign and deploy end-to-end autonomous AI systems including agent runtimes, memory systems, orchestration, tool integration, and evaluation pipelinesImplement multi-agent orchestration patterns using frameworks like LangGraph, AutoGen, or custom solutionsBuild agent coordination patterns for multi-step workflows with self-learning and continuous improvementAgent Governance & SafetyEmbed security, guardrails, sandbox isolation, auditability, and policy enforcement into agent runtimesBuild HITL (Human-in-the-Loop) frameworks with approval workflows and escalation policiesArchitect audit trails, decision reasoning logs, compliance tracking, and replay capabilitiesObservability & EvaluationImplement distributed tracing across agent workflows, tool invocations, and LLM callsBuild monitoring dashboards for agent performance, decision quality, and anomaly detectionDesign evaluation frameworks and metrics for reliability, latency, cost, and quality assessmentPrompt Engineering & Context ManagementArchitect centralized prompt repository with versioning, templating, and A/B testingBuild observability systems tracking token usage, quality metrics, and performanceDesign context engineering pipelines including RAG architecturesModel Development & ML PipelinesTrain and fine"‘tune models across supervised, unsupervised, and reinforcement learning paradigmsBuild reproducible training pipelines with experiment tracking and hyperparameter optimizationImplement feedback loops connecting user corrections to agent self"‘improvementCompensation Range: $200,000 - $230,000 USDRequirementsRequired QualificationsSystems & Agentic AI Expertise10+ years building large"‘scale distributed systems with hands"‘on Python, Pyspark coding5+ years production AI/ML systems, with 1+ years on agentic AI architecturesProven track record building autonomous agents including multi"‘agent orchestration, tool frameworks, and evaluation infrastructureHands"‘on experience with agent frameworks: LangChain, LlamaIndex, or custom implementationsBuilt governance and safety systems for autonomous agents in productionProduction EngineeringExpert Python and async programming (FastAPI, asyncio, concurrent systems)Experience with tool"‘calling LLMs and agentic protocols (MCP or similar)Production experience with LLM observability and distributed tracingDeep understanding of multi"‘agent systems, prompt engineering, and context managementEvent"‘driven architectures and real"‘time data pipelinesML & Data ScienceStrong ML/statistics background with model evaluation, experimentation, and A/B testingExperience with model training, fine"‘tuning, hyperparameter optimization, and feature engineeringBuilt data pipelines for training, labeling workflows, and feedback loopsTime"‘series analysis, anomaly detection, or process monitoring experienceNice to HaveDeep tech domain experience: manufacturing, industrial systems, healthcare, finance, or scientific/engineering applicationsExperience translating domain expert knowledge into agent guardrailsGraph databases or knowledge graph reasoningPreferred to HavePhD in Statistics, Computer science and relevant fieldExperience as a Data Scientist and strong data experienceWhy Join Us?Build real AI agents, not just dashboards. You'll work on agents that plan, reason, and act across real production environments "” not toy demos "” with a direct line to customer impactWork at the intersection of agentic AI and semiconductors. Help some of the world's most advanced semiconductor companies flag issues earlier, accelerate root"‘cause analysis, and optimize yield and quality by giving their engineers powerful autonomous assistantsOwn problems end"‘to"‘end. You'll have the autonomy to take problems from messy data and ambiguous requirements all the way through modeling, deployment, and iteration in productionJoin a small, senior team. Collaborate with experienced engineers, researchers, and product leaders who are deeply invested in pushing the state of the art in agentic AI and shipping it responsibly.Shape the platform. Your work will directly influence how our agentic data platform evolves "” the types of agents we build, the data abstractions we expose, and the capabilities we deliver to customersIf you're excited about building AI agents that operate on real, high"‘stakes data "” and want to help redefine how semiconductor companies understand and act on their data "” we'd love to talk.Emergence BenefitsComprehensive health & wellness benefits, including medical, dental, vision, HSA, and FSA optionsVoluntary insurance offerings for additional coverage401(k) plan with company matchFlexible time off and company holidays to support rest and rechargeFlexible remote work environmentOne"‘time home office setup stipendOngoing monthly stipend to support your work"‘from"‘home needs #J-18808-Ljbffr

Created: 2026-04-20