Software Engineer III, AI Agent Builder — FinOps & Technology Cost Value Management

Wayfair; Boston (MA); On-site; USD 140,000 - 210,000; Full time

Job summary

Wayfair in Boston is seeking a Senior Software Engineer to architect and maintain stateful, agentic workflows and graph-based execution loops that integrate Devin, Cursor, and GitHub Copilot with internal data stores and CI/CD pipelines. You will push the boundaries of autonomous cost-aware infrastructure changes.

The role focuses on building AI agent ecosystems, tooling for real-time spend attribution, and safety guardrails within deployment processes to ensure reliable, scalable operations.

Qualifications

• 5+ years of professional software engineering experience.
• Proficient in Python or TypeScript/Node.js; Go/Java a plus.
• Experience designing AI agents, tool‑calling workflows, and state machines.
• Strong knowledge of MCP, A2A patterns, REST/gRPC APIs.
• Hands-on with GCP, GKE, BigQuery, and Terraform/Helm.

Responsibilities

• Design, build, and maintain stateful agentic workflows and multi-agent topologies.
• Generate context-aware IaC pull requests and ensure SLOs.
• Measure AI consumption, build real-time spend analytics, and alert on spikes.
• Implement HITL guardrails, security governance, and reusable building blocks across Wayfair's tech org.

Skills

Python

TypeScript/Node.js

Go

Java

AI agents

REST APIs

Tools

GCP

GKE

Terraform

Helm

LangGraph/AutoGen

Job description

Who We Are Wayfair’s FinOps and Technology Cost Value Management (TCVM) team is building the next generation of autonomous engineering workflows. We treat cloud optimization and AI cost management not as passive reporting tasks, but as active software engineering challenges.

We are creating "agentic digital employees"—intelligent, stateful AI agents and graph execution loops that operate within engineer-native tools like Cursor and Devin. By connecting LLM-driven agents to Google Cloud Platform (GCP) advisories, codebase graphs, and cost attribution pipelines via Model Context Protocol (MCP) and Agent-to-Agent (A2A) communications, we automate cost-saving infrastructure changes safely at scale.

What You’ll Do

• Agentic Architecture & Graph/Loop Engineering: Design, build, and maintain stateful agentic workflows, execution loops, and multi-agent topologies (using state graphs, DAG execution engines, and cyclic recovery loops). Implement Model Context Protocol (MCP) servers and Agent-to-Agent (A2A/ACP) communication interfaces to connect AI developer agents (Devin, Cursor, GitHub Copilot) directly to internal databases, CI/CD pipelines, and FinOps platforms. Engineer agentic loops capable of multi-step reasoning, dynamic tool selection, error detection, and self‑correction when parsing code or cloud configurations.
• Autonomous FinOps & IaC Pull Request Generation: Build agents that consume GCP spend advisories (GKE, BigQuery, Compute Engine) and automatically generate context‑aware Infrastructure-as-Code (Terraform, Helm) pull requests. Embed application dependency checks and performance guardrails into agent‑generated code proposals to ensure changes do not violate service SLOs. Develop automated evaluation datasets (evals) to measure recommendation accuracy, PR quality, and execution safety before human review.
• AI Workload Economics & Spend Management: Build tracking and attribution tooling to measure AI consumption across Wayfair, including token usage, cost‑per‑API‑call, model inference latency, and vendor model selection costs. Engineer real‑time anomaly detection workflows and automated triage loops that flag sudden spikes in cloud or AI/SaaS expenditures to responsible team owners. Construct automated showback/chargeback telemetry models to give engineering domains granular visibility into their AI footprint.
• Human‑in‑the‑Loop (HITL) Guardrails & Security Governance: Design robust policy engines, permission boundaries, and step‑by‑step approval gates to ensure AI agents execute changes with appropriate access controls. Embed safety checks into CI/CD pipelines, preventing unauthorized schema migrations, dynamic code execution flaws, or unreviewed infrastructure modifications. Standardize reusable agent building blocks, SDKs, and templates across Wayfair's technology organization.

We Are a Match Because You Have

• 5+ years of professional software engineering experience building production services, microservices, or platform tools.
• High proficiency in Python or TypeScript/Node.js, with experience in Go or Java as a plus.
• Proven experience constructing AI agents, tool‑calling workflows, state graph execution (e.g., LangGraph, AutoGen, or custom state machines), and prompt/eval engineering frameworks.
• Deep understanding of MCP (Model Context Protocol), A2A patterns, REST/gRPC APIs, and orchestration of developer tools (Devin, Cursor, GitHub Copilot).
• Hands‑on experience with Google Cloud Platform (GCP), GKE (Kubernetes), BigQuery, and Infrastructure as Code (Terraform, Helm).
• Familiarity with cloud spend tracking, token economics, API cost attribution, or a FinOps.org Certification (Practitioner/Engineer).
• Experience with unit/integration testing for LLM outputs, CI/CD pipeline development, and secure enterprise authentication/authorization (OAuth2, IAM, RBAC).

Assistance For Individuals With Disabilities

Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form.

About Wayfair Inc.

Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry‑leading technology and creative problem‑solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.

No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk‑takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well‑positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.

Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at [e-mail].