Senior Machine Learning Engineer, CX Intelligence
Builds and leads production-grade AI-powered conversational systems, including orchestration services connecting LLM frameworks, vendor AI, internal agents, and human workflows. Requires at least five years of machine learning and software engineering experience, strong Python skills, and expertise in modern generative AI architectures.
About the job
Responsibilities
- Architect and deploy an orchestration layer managing state transitions, context sharing, and intent routing across vendor and internal LLM frameworks in a distributed conversational environment.
- Build production-grade Python services that bridge advanced ML/AI research with reliable, measurable customer-facing products.
- Lead end-to-end execution of complex ML initiatives, managing priorities, technical trade-offs, and cross-functional dependencies from design through delivery.
- Establish best practices for system design, coding standards, and AI/ML development workflows across the team.
- Mentor engineers on architectural integrity and modern AI/ML patterns.
- Conduct design reviews to ensure features meet standards for security, scalability, and performance.
Requirements
- 5+ years of professional experience in machine learning and software engineering, including shipping production-grade ML services at scale.
- Hands-on expertise with modern AI architectures, including LLMs, deep learning, and the generative AI ecosystem.
- Experience with frameworks and platforms such as LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock.
- Deep proficiency in Python and the ability to write clean, maintainable, highly tested production code.
- Specialized knowledge in at least one domain: NLP, information retrieval, computer vision, or advanced statistical modeling.
- Ability to write technical design documents and present ML system architectures to cross-functional stakeholders.
- Ability to translate complex technical concepts for non-technical audiences.
- Responsible use of generative AI with human oversight and focus on measurable workflow efficiency, cost, and quality improvements.
Compensation and Benefits
- Annual base salary: R$455.500–R$455.500 BRL.
- Total compensation may include equity, bonus eligibility, and medical, dental, and vision benefits.
Skills
Machine Learning, Python, LLMs, Deep Learning, Generative AI, LangGraph, Langsmith, Google Adk, Vertex Ai, Aws Bedrock, Natural Language Processing, Information Retrieval, Computer Vision, Distributed Systems, Technical Design
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