Senior AI Engineer

The Planet Group; Town of Texas (WI); Hybrid; USD 96,000 - 117,000; Full time

Job summary

The Planet Group is hiring a Senior AI Engineer to help build a next‑gen agentic AI platform. This hybrid role is based in Dallas, TX or Chicago, IL, with on-site presence Tue–Thu.

You’ll design platform services for multiple agent frameworks, implement orchestration and observability, and ensure secure‑by‑design practices across enterprise systems. You will bring 5+ years of software engineering with AI/ML or agentic apps, strong Python and API design skills, and hands‑on experience with

Qualifications

• 5+ years of software engineering experience with production AI/ML or agentic apps.
• Strong Python skills and API/microservice design experience.
• Hands-on with LLM-based agent design, prompt engineering, and tool integration.
• Experience with an agent or orchestration framework (LangGraph, LangChain, etc.).
• Solid cloud, containers, CI/CD, and production support background.
• Observability: logging, metrics, tracing, alerting.
• Bachelor's degree or equivalent practical experience.

Responsibilities

• Architect reusable platform services for multiple agent frameworks and domains.
• Establish patterns for agent registration, discovery, task execution, memory/state, interoperability.
• Design multi-agent orchestration with event-driven/workflow approaches, routing, retries, failure handling.
• Build a centralized gateway for AI model calls, agent tools, and external integrations.
• Stand up full observability: tracing, metrics, dashboards, visibility into decisions and tool calls.
• Create automated evaluation pipelines with guardrails to maintain quality and safety.
• Collaborate with architecture, security, and governance for responsible-AI and secure-by-design.

Skills

Python

APIs

LLM Systems

Agent Frameworks

Cloud/Containers

Observability

Bachelor's

Education

Bachelor's degree or equivalent

Tools

LangGraph

LangChain

Semantic Kernel

AutoGen

CrewAI

Job description

Senior AI Engineer – Agentic AI Platform | Hybrid (Dallas, TX or Chicago, IL)

Pay range: $70–$85/HR (DOE and C2C vs W2)

About the Opportunity

Join a large, data-driven enterprise organization building a next-generation agentic AI platform from the ground up. This isn't a single-agent project — it's a foundational platform effort that will let business and engineering teams across the company build, deploy, and operate AI agents on a shared, secure, and observable enterprise backbone. If you want to shape how an entire organization does agentic AI — not just ship one agent — this is that role.

Hybrid onsite Tuesday–Thursday, based in either Dallas, TX or Chicago, IL.

What You'll Do

• Architect and build reusable platform services that support multiple agent frameworks, models, and business domains — not one-off agent solutions.
• Establish standard patterns for how agents register, discover each other, execute tasks, manage memory/state, and interoperate across systems.
• Design multi-agent orchestration using event-driven and workflow-based approaches, including routing, task delegation, retries, and failure handling.
• Build a centralized gateway for AI model calls, agent tools, and external service integrations, with consistent auth, throttling, and policy enforcement baked in.
• Stand up full observability for agentic systems: distributed tracing, metrics, dashboards, and visibility into agent decisions, tool calls, latency, and failures.
• Build automated evaluation pipelines — benchmarks, regression tests, guardrails — that keep agent quality and safety in check as the platform scales.
• Partner closely with architecture, security, and governance teams to bake in responsible‑AI and secure‑by‑design practices from day one.

What You Bring

• 5+ years of software engineering experience, with meaningful hands‑on time building AI/ML or agentic applications that made it to production (not just prototypes).
• Strong Python skills and real experience designing APIs, microservices, or event-driven/distributed systems.
• Practical experience with LLM‑based systems: agent design patterns, prompt engineering, retrieval‑augmented generation, and tool/model integration.
• Hands‑on experience with at least one agent or orchestration framework (LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI, or similar) — we care more about depth of use than which one.
• Solid grounding in cloud platforms, containers, CI/CD, and production support practices.
• Observability chops: structured logging, metrics, tracing, alerting.
• A self‑directed, curious engineer who can ramp on new tools and problem domains without needing a formal onboarding path.
• Bachelor's degree in a technical field or equivalent practical experience.

Nice to have: OpenTelemetry or similar distributed‑tracing implementation experience, prior work building model/tool gateways or shared platform services, exposure to LLM/agent evaluation and red‑teaming practices, and background in regulated or data‑intensive enterprise environments.

Logistics

• Contract type: W2 or CSC - Contract-to-Hire or Contract
• Location: Dallas, TX or Chicago, IL metro
• Interview process: Technical video screening required for all candidates (camera on, no headphones during screening)