The Vision

We do not believe in the "one size fits all" AI. We are building a Composable AI Microservice Architecture composed of hundreds of hyper-specialized services. Each service is a "Generic Function" (an LLM) that has been expertly programmed through data, context, and tool-integration to dominate a specific, high-leverage task.
As a Senior Software Engineer, Core AI, you are the primary builder of these intelligent services. You aren't just calling APIs; you are designing the logic, memory structures, and retrieval systems that turn a raw model into a production-grade agent. You will be at the forefront of moving our company from static specifications to a dynamic, agentic reality.

The Mission: Specialized Intelligence

Our philosophy is simple: LLMs are generic until they are grounded. You will drive excellence by treating LLM application development as an optimization and experimentation problem. Your goal is to move beyond "generic chat" to build services that exhibit high agency while maintaining deterministic precision.

What You’ll Do:

• Develop Specialized AI Microservices: Design and build the core logic for task-specific AI agents. You will own the full implementation—from data serialization and RAG (Retrieval-Augmented Generation) to agentic tool-use and multi-step reasoning.
• Optimization-First Development: Drive service quality through a rigorous hierarchy of intervention:
• Build for the Fleet: Ensure every service you build is "Core AI Ready"—fully integrated with our telemetry backbone for drift detection, versioning, and success metrics.
• Systemic Experimentation: Lead the culture of evals. You will design and run controlled experiments across different models and datasets, using benchmarks to prove that your improvements are attributable and reproducible.
• Architectural Collaboration: Work closely with AI Ops to ensure your services are deployable at scale and with the Platform team to ensure your services provide the "Demo to Prod" leverage we promise.

 

What We’re Looking For:

• A Product-Minded AI Builder: You are a Senior/Staff-level engineer who loves building features that people actually use. You understand that "cool AI" is only useful if it solves a specific human workflow problem.
• The "Data-First" Engineer: You understand that 90% of AI performance comes from the data and context provided to the model. You are skilled at data engineering and serialization, knowing that a well-formatted context is worth more than a thousand prompt tweaks.
• An Agentic Systems Specialist: You are experienced in building agentic flows (using frameworks like LangGraph, AutoGen, or custom state machines) and know how to balance agency (letting the AI solve the problem) with precision (ensuring it follows the rules).
• The Experimenter: You don't trust "vibes." You trust benchmarks. You are comfortable writing custom eval suites to measure the success of your specialized services.

The Reality of the Work

This is a high-velocity building role. You won't be writing research papers; you will be shipping production code. One week you might be building a specialized agent for Global Support, and the next you'll be optimizing a design-to-code microservice. Your success is measured by the number of high-leverage human workflows you successfully augment.
We are creating the company’s AI operating layer, built from focused, composable services. If you want to shape how those services fit together, let’s talk.