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