AI Engineer

Responsibilities

• Design, construct, and implement AI-driven tools that enhance clinical, staffing, scheduling, analytics, and administrative processes.
• Utilize open-source LLMs and manage local inference environments.
• Develop retrieval-augmented generation pipelines using appropriate embeddings and vector database technologies.
• Create multi-tool and function-calling agent architectures with efficient execution planning and state management.
• Integrate MCP-based agents with internal systems, including CRMs and analytics dashboards.
• Design and maintain data pipelines for data ingestion, preprocessing, and regular updates.
• Deploy models and ensure pipelines operate smoothly in both local environments and the cloud.
• Improve inference performance by balancing cost and latency considerations.
• Collaborate with non-technical staff to clarify requirements and translate them into effective AI solutions.
• Document processes, establish best practices, and provide training on new tools for internal users.

Requirements

Must have:

• Proven experience with open-source language models and hands-on deployment.
• Deep understanding of vector search, embeddings, and retrieval-augmented generation best practices.
• Experience in creating agent architectures with structured function and tool calling.
• Familiarity with orchestration frameworks like MCP, LangGraph, LlamaIndex, or LangChain.
• Strong proficiency in Python and frameworks such as Django, FastAPI, or Flask.
• Background in building data pipelines including ETL/ELT processes.
• Experience deploying AI systems using Docker, AWS services, or local inference setups.
• Ability to optimize monitoring, logging, and performance of AI systems.
• Capacity to understand and communicate business workflows effectively.
• Skill in simplifying complex technical concepts for various audiences.
• Previous interaction with end-users to gather feedback and improve tools.

Plus:

• Familiarity with healthcare operations and related workflows is a plus.
• Knowledge of HIPAA regulations and security practices concerning PHI/PII is advantageous.
• Experience with Apple Silicon GPU and machine learning workloads is desirable.

Company

At The Perfect Child, we are driven by the mission to positively impact childrens lives through innovative ABA services. We pride ourselves on fostering a supportive and collaborative work environment where your contributions can shine. As we continue to expand, we are eager to incorporate advanced AI solutions into our operations. This fully remote position provides an opportunity for you to engage in meaningful work that influences essential business workflows while enjoying comprehensive benefits such as health insurance, 401(k) matching, and paid time off. Join us and be part of a team that values clarity, ownership, and impactful design.