Senior AI Systems Engineer
Core
Design, build, and operate end-to-end machine learning and GenAI systems, including LLM-powered applications, RAG pipelines, and agentic workflows, to power Benevity's products.
Role type
Senior IC machine-learning engineer (GenAI/LLM)
Builds
Production-grade ML and GenAI features, LLM applications, and evaluation frameworks
Domain
SaaS / Social Impact Technology
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, scikit-learn, AWS/GCP/Azure, distributed workloads, data pipelines, feature engineering, CI/CD for ML, prompt engineering, RAG systems, agentic workflows, API design, microservices
Preferred skills
Cloud platform certifications
Technologies
VueJS, Java SpringBoot, PHP, GCP, AWS, GIT, PyTorch, TensorFlow, scikit-learn, LangChain, LlamaIndex, ADK
Responsibilities
Design and build ML/GenAI features from data ingestion to model serving; Create evaluation frameworks combining offline benchmarks and human review; Implement guardrails for GenAI (prompt injection, hallucination mitigation); Mentor mid-level engineers on production ML practices; Balance latency, cost, and quality in model selection; Find and fix bottlenecks in pipelines and serving performance.
Seniority
Senior, hands-on IC with mentorship
