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Posted May 31, 2026

AI Agentic Engineer

About Us Foundever™ is a global leader in the customer experience (CX) industry. With 150,000 associates across the globe, we are the team behind the best experiences for more than 750 of the world’s leading and digitalfirst brands. Our innovative CX solutions, technology, and expertise are designed to support operational needs for our clients and deliver seamless, AIdriven experiences in the moments that matter.  As AI becomes increasingly agentic and autonomous, we are building a platform to orchestrate intelligent workflows that automate complex business processes at scale.  About the Role We are looking for an Agentic Workflow Backend Engineer to architect and build a platform enabling the creation, orchestration, and execution of AI‑driven automation workflows.  In this role, you will design backend systems that power agent-based applications, leveraging MCP Clients and Servers as interfaces, agentgateway for AuthN, LangGraph for agent orchestration and stateful workflows, LangFuse for observability, and AWS infrastructure for scale, reliability, and security.  You will work closely with data scientists, machine learning engineers, product managers, and DevOps to build a reusable, extensible platform that enables teams to compose intelligent agents, connect them to tools and data sources, and run them safely in production.  This position requires strong architectural thinking, hands‑on backend development, and comfort owning complex systems end‑to‑end in a fast‑moving, experimental AI environment.  Key responsibilities Platform & Architecture  Design and architect a backend platform for agentic workflows and automations  Define patterns for agent orchestration, state management, memory, and tool integration  Design and implement authorization (AuthZ) models for agentic workflows, defining fine‑grained permissions, scopes, and guardrails to control what agents can access and execute across tools, data sources, and workflows in production.  Ensure scalability, observability, and fault tolerance of long‑running and asynchronous workflows    Backend Development  Develop high‑quality backend services using Python and FastAPI  Implement workflow orchestration using LangGraph and related agent frameworks  Design and maintain APIs for workflow creation, execution, monitoring, and control  Cloud & Infrastructure  Run production workloads in AWS on Kubernetes, including scaling and reliability concerns  Integrate CI/CD pipelines for rapid iteration and safe deployment  Implement monitoring, logging, and tracing for agent execution and system performance    Security & Compliance  Ensure compliance with certification and regulatory frameworks (e.g. PCI, HiTrust)  Design guardrails for agent behavior, permissions, and access to tools and data  Collaboration & Ownership  Collaborate closely with ML, data, and product teams to translate business needs into platform capabilities  Own technical decisions from design through production and iteration  Stay up to date with advances in agentic AI, orchestration frameworks, and cloud‑native architecture  Skills And Abilities Experience  5+ years of experience in Python backend engineering  2+ years of experience in Agentic workflow implementation and other automations  Proven experience building cloudhosted, productiongrade backend systems  Experience designing or working with distributed systems and microservices  Comfortable working in Agile, fastpaced environments with evolving requirements  Required  Deep experience in Python with FastAPI (or equivalent modern backend frameworks)  Experience designing microservice APIs and backend service contracts  Experience with LangGraph, LangChain, and orchestration of agentbased AI systems  Proficient with LLM integration patterns, tool calling, and prompt workflows  Solid knowledge of AWS (compute, storage, networking, IAM)  Experience running services on Kubernetes  Strong understanding of databases (PostgreSQL, MySQL, MongoDB or similar)  Familiarity with CI/CD pipelines and Gitbased workflows (GitLab preferred)  Excellent debugging, troubleshooting, and systemlevel thinking skills  Education  Bachelor’s degree or higher in Computer Science or a related field, or equivalent practical experience.  Languages  Excellent written and conversational English (C1 minimum)  French and Spanish are a plus  Tools & Technologies  Backend framework: FastAPI  Agent orchestration: LangGraph  Cloud provider: AWS  Container orchestration: Kubernetes  Version control & CI/CD: GitLab  IDE: Cursor  Our offer  Impactful work: Build a core platform powering nextgeneration, AIdriven automation at scale  Professional growth: Work at the frontier of agentic systems with continuous learning opportunities  Competitive compensation: Attractive salary and benefits package  Collaborative environment: Supportive, remotefriendly team with opportunities for travel, training, and industry events