Note: The job is a remote job and is open to candidates in USA. isolved is an employee experience leader providing people-first Human Capital Management technology through its isolved People Cloud platform. The Enterprise AI Platform Engineer will build and operate internal backend platforms, APIs, MCP infrastructure, LLM integrations, and agent orchestration services that automate workflows across the company. The role focuses on production systems, reliability, observability, security, and collaboration with architecture, DevOps, and security teams.
Responsibilities
- 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
Skills
- • 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
- • 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)
Company Overview
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