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Dustin Baker

Dustin Baker

AGENTIC AI ENGINEER

Talent
IndianaMember since July 10, 2026
PythonSQLLangGraphPineconeFastAPIPostgreSQLAWSAzureDocker
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PythonSQLLangGraphPineconeFastAPI

About

Agentic AI Engineer with 5+ years of experience designing, building, and deploying AI-powered applications utilizing Large Language Models (LLMs), multi-agent systems, Retrieval-Augmented Generation (RAG), and workflow automation. Skilled in developing autonomous AI agents capable of reasoning, tool usage, decision-making, and task execution across business functions including sales, recruiting, legal operations, customer support, and logistics. Experienced in cloud deployment, API development, vector databases, and production-grade AI infrastructure.

Experience

Agentic AI Engineer at VeilSun (2024-01 – Present)

  • Designed and developed enterprise-grade AI agents and multi-agent systems using LangGraph, OpenAI, and Anthropic models.
  • Built RAG pipelines integrating vector databases and organizational knowledge repositories to improve response accuracy and contextual understanding.
  • Developed scalable backend services and APIs using FastAPI and Python to support AI-powered applications.
  • Deployed and managed AI systems on AWS using Docker containers and cloud-native infrastructure.
  • Implement monitoring, evaluation, and observability frameworks to track agent performance, costs, latency, and reliability.
  • Collaborated with product and engineering teams to deliver AI solutions that automate business workflows and improve operational efficiency.

Junior AI Engineer at Axel Labs (2022-01 – 2024-12)

  • Developed AI-powered automation solutions utilizing LLMs, agent frameworks, and enterprise integrations.
  • Built autonomous agents capable of interacting with APIs, databases, CRMs, and third-party business systems.
  • Created intelligent document processing and knowledge retrieval systems using RAG architectures and vector databases.
  • Containerized applications with Docker and deployed scalable AI services across AWS and Azure environments.
  • Optimized AI workflows, reducing manual effort while improving productivity and user experience.
  • Participated in system architecture, deployment planning, and production support for client-facing AI applications.

Education

Bachelor of Science in Computer Science – St Joseph's University

Skills

AGENTIC AI ENGINEER

Reviews

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