Artificial Intelligence Engineer

We are seeking an AI Engineer with hands-on experience in open-source language models, local inference, RAG systems, agent architectures, function/tool calling, MCP, and end-to-end data pipelines.

This role requires someone who can:

• Understand business processes deeply,
• Communicate effectively with non-technical team members,
• Architect AI solutions that are stable, scalable, and actually useful in day-to-day operations.
• This is a design * build * deploy * iterate role where your work will directly impact core business workflows.

Key Responsibilities

• Design, build, and deploy AI-powered tools and assistants that support clinical, staffing,
• scheduling, analytics, and administrative workflows.
• Work with open-source LLMs (LLaMA, Mistral, Gemma, etc.) and local inference runtimes
• (Ollama, vLLM, Text Generation Inference).
• Implement RAG pipelines using embeddings, vector databases (Chroma, Qdrant, Weaviate, pgvector), and retrieval heuristics tailored to business context.
• Build multi-tool / function-calling agents, including execution planning, state management, and iterative reasoning flows.
• Architect and integrate MCP-based agents with internal systems, CRMs, databases, analytics dashboards, and forms/workflows.
• Develop and maintain data pipelines for ingestion, cleaning, semantic indexing, embeddings, storage, and scheduled refresh.
• Deploy models and pipelines both locally and in the cloud (AWS, containerized GPU servers, macOS AI compute environments).
• Optimize inference performance, caching, batching, routing, and cost vs. latency trade-offs.
• Collaborate directly with non-technical staff to gather requirements and translate real operational needs into practical AI tools.
• Document workflows, maintain best practices, and train internal users on effective tool usage.

• AI / ML / LLM
• Hands-on deployment of open-source models (fine-tuned or instruct-tuned models a plus).
• Strong understanding of vector search, embeddings, context window strategies, and RAG best practices.
• Experience building agent architectures with structured function/tool calling.
• Familiarity with MCP, LangGraph, LlamaIndex, LangChain, or similar orchestration frameworks.

Software & Systems

• Strong Python experience; familiar with Django / FastAPI / Flask or similar frameworks.
• Experience building data pipelines (ETL/ELT, semantic chunking, scheduled indexing).
• Experience deploying AI systems: Docker, AWS EC2 / ECS / Lambda, GPU instances, or local inference stacks.
• Comfort with monitoring, logging, and performance optimization.

Communication & Business Understanding

• Ability to understand business workflows, not just code.
• Can explain complex technical ideas simply and clearly.
• Works directly with end-users and adapts tools based on feedback.

Nice to Have

• Healthcare operations / scheduling / staffing workflow familiarity.
• Speech-to-Text, Text-to-Speech, Voice Processing Experience
• Knowledge of HIPAA and security practices around PHI/PII.
• Experience with Apple Silicon GPU/ML workloads (e.g., Mac Studio-based compute clusters)

3.33.3 out of 5 stars Remote $100,000 - $160,000 a year - Full-time, Pulled from the full job description

• Health insurance
• 401(k) matching
• Paid time off
• Vision insurance
• Dental insurance, * 401(k) matching
• Dental insurance
• Health insurance
• Paid time off
• Vision insurance

Are you passionate about making a meaningful difference in children's lives? Do you value a supportive team environment and opportunities to grow your career? If so, The Perfect Child is the place for you! We are dedicated to providing top-tier ABA services! We are a data-driven organization building secure, modern systems that power clinical, operational, and administrative workflows. Our next stage of growth involves integrating practical, production-grade AI into daily business operations.