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Agentic AI Developer

Dallas County, Alabama, United States

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Job Description

Agentic AI Developer

Location: Dallas, TX

  • Remote

Company: Artemis ABA Inc.

About The Company

Artemis ABA Inc. is revolutionizing the Applied Behavior Analysis field through a proprietary, AI-powered platform. The solution streamlines clinical workflows, billing, scheduling, and compliance, delivering intuitive, scalable software for smarter care delivery.

Role Overview

Three positions are open for Agentic AI Developers to design, build, and deploy intelligent AI agents capable of autonomously performing complex workflows. The role sits at the intersection of AI, automation, and healthcare operations, focusing on systems that can reason, act, and continuously improve.

Key Responsibilities

  • Design and develop agentic AI systems for autonomous decision-making and task execution.
  • Build multi-step AI workflows for Revenue Cycle Management, claims processing, scheduling optimization, and clinical documentation automation.
  • Develop tool-using AI agents featuring function calling, API orchestration, and retrieval systems.
  • Implement memory, planning, and reasoning frameworks for AI agents.
  • Collaborate with product and clinical teams to translate workflows into AI-driven solutions.
  • Optimize models for accuracy, latency, and cost efficiency.
  • Ensure HIPAA-compliant, secure AI implementations and monitor agent performance.

Qualifications

Required

  • 3-7 years in software development with AI/ML exposure.
  • Strong skills in Python / Node.js.
  • Experience with LLM frameworks: LangChain, LlamaIndex, or similar.
  • Hands-on experience with OpenAI, Anthropic, or open-source LLMs.
  • Proven ability to build autonomous agents and API integrations.
  • Proficiency in prompt engineering, RAG, and function calling.
  • AWS cloud experience.

Preferred

  • Experience in healthcare tech, RCM, or ABA domains.
  • Knowledge of HIPAA compliance and data security.
  • Experience with Vector DBs: Pinecone, Weaviate, or FAISS.
  • Familiarity with multi-agent frameworks and planning systems.
  • Experience with fine-tuning and model optimization.
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