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
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