Enterprise AI Platform Engineer

iSolved HCM

United States

On-site

USD 120,000 - 160,000

Full time

5 days ago
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Job summary

iSolved HCM is seeking a backend-focused engineer to help build internal platforms that automate team workflows. This role focuses on production internal systems, not customer-facing features, and involves shaping platform components that agents and internal tools run on.

You will work on the MCP framework, LLM integrations, and multi-agent orchestration to reduce repetitive work and improve reliability. Ideal candidates will have strong Python skills, experience with backend APIs at scale, and

Qualifications

  • Strong software engineering fundamentals and a track record of shipping and maintaining production backend systems.
  • Proficiency in Python.
  • Solid backend/API experience building REST APIs at scale and comfort with relational databases.
  • Experience integrating LLM APIs into real applications.
  • Hands-on comfort with MCP (building and/or consuming servers and clients).
  • Experience with at least one agent orchestration framework (e.g., LangGraph, CrewAI, AutoGen, Semantic Kernel).
  • Understanding of common agent design patterns, and how the right choice for a given task i.e. deterministic workflows vs. role-based vs. autonomous agents.
  • Experience with agentic software development - building with AI coding tools and agent-based workflows as part of how you work.
  • Working familiarity with agent-to-agent (A2A) concepts and interoperability patterns.
  • Comfortable working in a cloud environment and on the command line; fluent with Docker, Git, and CI/CD.
  • Sound instincts around secrets management and authentication/authorization.

Responsibilities

  • Build and maintain backend services and REST APIs powering agent orchestration and LLM integration.
  • Develop and operate MCP servers and clients including tool registration and lifecycle management.
  • Integrate LLM services with robust error handling across workflows.
  • Implement multi-agent and multi-step workflows with an orchestration framework.
  • Improve observability, monitoring, and cost/latency visibility for non-deterministic systems.
  • Collaborate with Architecture, DevOps and Security to ship secure, well-tested CI/CD services.

Skills

Python
Backend APIs
LLM integration
MCP servers
Agent orchestration
Docker
Git
CI/CD
Cloud
Secrets management
A2A concepts

Tools

LangGraph
CrewAI
AutoGen
Semantic Kernel
Node/TypeScript
C#
Rust
Redis
Docker
Git
CI/CD

Job description

Why Work Here
  • Headquarters is in Charlotte, NC
  • Recently expanded to nearshore
  • isolved ranked for SMB Payroll in 2023 Sapient Report
  • Voted top places to work in USA 2023
About the role

We're building the internal platforms that will let teams across the company automate their own work and processes. This is early, and it's a chance to help build an internal platform for all of our employees from the ground up. It's infrastructure for internal use including orchestration layers, MCP tool infrastructure, LLM integrations, and the services that connect them. We're building to take repetitive, manual effort off people's plates so they can focus on higher-value work.

This is a builder role focused on production internal systems, not model training, research, or customer-facing product features. You'll help shape and implement the platform components that agents and internal tools run on. If you like backend and systems engineering and want to go deep on the fast-moving agent-infrastructure layer and help define what it becomes this is that job.

What you'll do
  • Build and maintain backend services and APIs (REST) that power agent orchestration, tool execution, and LLM integration for internal automation workflows.
  • Develop and operate MCP servers and clients including tool registration, integration of databases and enterprise systems into agent workflows, versioning, and lifecycle management.
  • Integrate LLM services (streaming, structured outputs, tool/function calling) with robust error handling across agent workflows.
  • Implement multi-agent and multi-step workflows using an orchestration framework.
  • Contribute to observability, evaluation, and reliability for non-deterministic systems including tracing, monitoring, and cost/latency visibility.
  • Collaborate with architecture, DevOps, and security to ship secure, well-tested services following CI/CD best practices.
What we're looking for
  • Strong software engineering fundamentals and a track record of shipping and maintaining production backend systems.
  • Proficiency in Python.
  • Solid backend/API experience building REST APIs at scale and comfort with relational databases.
  • Experience integrating LLM APIs into real applications.
  • Hands-on comfort with MCP (building and/or consuming servers and clients).
  • Experience with at least one agent orchestration framework (e.g., LangGraph, CrewAI, AutoGen, Semantic Kernel).
  • Understanding of common agent design patterns, and how the right choice for a given task ie deterministic workflows vs. role-based vs. autonomous agents.
  • Experience with agentic software development - building with AI coding tools and agent-based workflows as part of how you work.
  • Working familiarity with agent-to-agent (A2A) concepts and interoperability patterns.
  • Comfortable working in a cloud environment and on the command line; fluent with Docker, Git, and CI/CD.
  • Sound instincts around secrets management and authentication/authorization.
Nice to have
  • Experience with Node/TypeScript or C#.
  • Rust from the infrastructure/systems-engineering side - CLI tools, proxies, and other performance-sensitive behind-the-scenes components.
  • Depth in multi-agent architectures - supervisor/worker patterns, hierarchical graphs, ReAct-style loops.
  • RAG and vector database experience (chunking, hybrid search, re-ranking).
  • Redis-backed queues or other high-throughput backend patterns.
  • Experience shipping software in a regulated or governed environment (security, privacy, compliance).
  • Familiarity with Azure and Microsoft Entra ID.
  • Observability/eval tooling for LLM systems (LangFuse, Prometheus, or similar).
About isolved

isolved is an employee experience leader, providing intuitive, people-first HCM (Human Capital Management) technology. Our solutions are delivered directly or through our partner network to more than five million employees and 145,000 employers - who use them every day to boost performance, increase productivity, and accelerate results while reducing risk. Our HCM platform, isolved People Cloud, seamlessly connects and manages the employee journey across talent management, HR & payroll, workforce management and engagement management functions. No matter the industry, we help high-growth organizations employ, enable and empower their workforce by transforming employee experience for a better today and a better tomorrow. For more information, visit www.isolvedhcm.com.

EEO Statement

isolved is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. isolved is a progressive and open-minded meritocracy. If you are smart and good at what you do, come as you are.

Disability Accommodation

Visit www.isolvedhcm.com/careers for more information regarding our incredible culture and focus on our employee experience. Visit www.isolvedeebenefits.com for a comprehensive list of our employee total rewards offerings.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions outlined above.

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