Staff AI Engineer responsible for generative AI solutions for conversational products and operational efficiency at Stone Co. Engaging in technical leadership and collaboration between science and engineering.
About the role
- Senior AI Engineer developing LLM-powered features for aPriori’s data platform. Building production-grade AI systems and mentoring engineers in a collaborative environment.
Responsibilities
- Design and build production-ready AI/ML systems with an emphasis on Standard Model LLM-powered product and platform features
- Leverage LLM tooling/APIs such as LangChain and MCP connectors to implement retrieval-augmented generation (RAG), copilot-assistants and agentic workflows
- Partner with Product Management and product teams to translate requirements into AI-powered capabilities that surface directly in user-facing products
- Apply MLOps and LLMOps best practices
- Combine traditional AI/ML with modern GenAI approaches to deliver hybrid solutions where appropriate
- Collaborate with Data Engineers to establish a scalable data pipeline for LLM consumption
- Mentor and upskill peers in core AI/ML and LLMOps practices
Requirements
- 7+ years of professional software engineering experience
- 3+ years experience in traditional AI/ML
- 1+ year experience in building LLM applications on standard models
- Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or related field (or equivalent experience)
- Hands-on familiarity with Prompt Engineering by leveraging LLM frameworks such as LangChain
- Strong programming skills in Python
- Familiarity with modern data/ML pipelines
- Solid understanding of data engineering practices (ETL/ELT, streaming, orchestration with Airflow/Temporal, dbt, Kafka, etc.)
- Knowledge of LLMOps/MLOps practices
- Strong collaboration and communication skills
- Demonstrated ability to mentor and upskill engineers
Benefits
- Pension match
- Private medical & dental
- Flexible time off
- aPriori days
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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