Applied AI Engineer

DEPARTMENT

Product: Engineering

POSITION

Applied AI Engineer

REPORTS TO

Team Lead, Software Engineering

SUPERVISES

None

JOB CLASS

Exempt

PURPOSE

We’re building the next generation of AI-powered experiences to support participants on their health journey, helping them achieve sustainable weight loss through meaningful behavioral change and guided, personalized experiences powered by applied AI. We’re looking for an Applied AI Engineer to help bring that vision to life by building and evolving our agent platform across orchestration, tool use, retrieval, safety, escalation, evaluation, and observability.

Beyond the product, you’ll build AI automation for our engineering team, including agents and workflows that accelerate development, testing, code review, and delivery. If you see a repetitive engineering task, you’ll be expected to automate it.

This role will be focused on building and evolving enterprise AI systems, not research prototypes. We’re looking for someone who has shipped production agent systems and understands real-world challenges such as memory, evals, compaction, safety and control, and multi-agent orchestration. Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, or equivalent in-house systems is a plus.

ESSENTIAL FUNCTIONS

:

• Develop and maintain LLM agent systems using AWS Bedrock, LangChain, and LangSmith, with transferable experience from comparable tools and frameworks.
• Build and contribute to core agent capabilities, including tool use for knowledge retrieval, ticketing, and onboarding flows, agentic loops, and human-in-the-loop interactions.
• Develop and improve memory and context systems, including conversation history, participant memory, and summarization for long-running interactions.
• Develop and evolve multi-agent and sub-agent systems using explicit st