Machine Learning Engineer, CX Intelligence

1 мес. назад

BrazilLATAMMiddleRemote

machine learningllmapipython

Design and scale AI-powered multi-agent systems to automate complex customer support workflows at .

Обязанности

Architect multi-agent systems using advanced orchestration frameworks (LangGraph, Google ADK) to automate complex customer support procedures end-to-end.
Build and scale integrations using Model Context Protocol (MCP) to connect LLMs with internal APIs, databases, and third-party tooling.
Develop automated "LLM-as-a-judge" evaluation pipelines to monitor, measure, and improve the performance of non-deterministic AI agents in production.
Implement RAG, fine-tuning, and prompt engineering techniques to ensure chatbot responses are grounded, accurate, and compliant with policies.
Ship production-ready Python services that are resilient, low-latency, and capable of handling -scale traffic across asynchronous microservices.
Partner with Conversation Design and Product to translate complex business logic into executable agent procedures within the decentralized architecture.

Другое

Ready to do the most impactful work of your career? At  , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.”  learn more about working at .
The CX Intelligence Engineering team, part of 's Enterprise Applications and Architecture org, builds the multi-agent platform powering Chat, Help Center, and agent tooling. As a Machine Learning Engineer on this team, you'll design and scale the agentic systems that automate complex customer support workflows, connecting LLMs with internal APIs and tools to deliver fast, accurate, and compliant AI-powered experiences for millions of customers.
3+ years building and scaling ML/AI systems in production, with demonstrated experience implementing agentic "Loop" or "ReAct" based systems where AI takes actions autonomously.
Deep understanding of the LLM lifecycle including context window management, token optimization, structured output parsing (Pydantic, JSON mode), and multi-agent orchestration frameworks (LangGraph, Google ADK, or similar).
Strong proficiency in Python with hands-on experience in microservices architecture, asynchronous programming, high-throughput APIs, and vector databases (Pinecone, Weaviate, or equivalent).
Demonstrated ability to explain model behaviors and technical trade-offs to non-technical stakeholders across CX, Legal, and Product teams.
Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
 
Job ID: P77545
Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).
Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.
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