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
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