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AI Summary
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
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