AI Engineer
Core
Embed AI tooling and features into a mature, configurable SaaS platform to modernize the product and accelerate engineering team delivery.
Role type
Senior AI Engineer (Platform Modernization & Team Enablement)
Builds
AI-assisted development workflows, RAG systems, intelligent agents, and production ML features for childcare management software.
Domain
SaaS / Childcare & Nutrition / Enterprise Software
Deliverable
production ML models
Required skills
Python, LLM integration, RAG pipelines, Vector databases, Prompt engineering, AI-assisted development tooling, Cloud infrastructure (AWS/Azure/GCP), CI/CD, Docker, Backend development (APIs, microservices), Angular, React, C#, TypeScript
Preferred skills
Model fine-tuning, Supervised/unsupervised learning, MLOps, ETL processes, Workflow orchestration, CACFP domain knowledge
Technologies
OpenAI, Anthropic, Pinecone, Weaviate, FAISS, Docker, AWS, Azure, GCP, Angular, React, C#, TypeScript
Responsibilities
Introduce and operationalize AI-assisted development practices (code generation, automated testing) across engineering teams; Design, develop, and deploy AI features (LLMs, ML models) into legacy SaaS architectures; Implement RAG systems, embedding pipelines, and agent frameworks; Build automation pipelines to reduce manual operational tasks; Partner with developers to embed AI tooling into daily workflows; Ensure reliability, monitoring, and evaluation of AI outputs in production.
Seniority
Senior, hands-on IC
