Artificial Intelligence Engineer
Job Title: AI EngineerA variety of soft skills and experience may be required for the following role Please ensure you check the overview below carefully.Location: Remote (U.S. based preferred)Employment Type: Full-Time*About Us*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.We value clarity, ownership, thoughtful design, and measurable impact.*Role Overview*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.*Required Skills & Experience*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 bestpractices.● 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.● Knowledge of HIPAA and security practices around PHI/PII.● Experience with Apple Silicon GPU/ML workloads (e.g., Mac Studio-based compute clusters).*What We Offer*● A mission-driven environment where your work has real-world impact.● Ownership of architecture decisions and implementation.● A collaborative team that values clarity, performance, and craftsmanship.● Room to experiment, iterate, and build production-quality tools quickly. xkddfxhJob Type: Full-timePay: $100,000.00 - $160,000.00 per yearBenefits:
* 401(k) matching
* Dental insurance
* Health insurance
* Paid time off
* Vision insuranceWork Location: Remote
Remote working/work at home options are available for this role.