Engineer: AI

Dwyer Instruments, Inc.

$90K — $130K *
US-AnywhereRemote in United States
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, AI, Data Engineering, or related field.
  • 3+ years of experience in AI/ML or software development.
  • Proficient with Azure AI, Microsoft Fabric, Azure OpenAI, or similar platforms.
  • Strong skills in Python, SQL, REST API, and Git.
  • Knowledge of LLMs, RAG, vector databases, and related frameworks.
  • Experience with Data Lakes, Spark, and enterprise integrations.
  • Understanding of AI governance and responsible AI practices.

Responsibilities

  • Design and develop Agentic AI solutions using modern AI frameworks.
  • Build AI agents to handle data from the enterprise Data Lake.
  • Create RAG solutions utilizing vector databases and knowledge sources.
  • Integrate AI solutions with various enterprise systems including ERP and CRM.
  • Design secure automation workflows for business processes.
  • Develop Python services, REST APIs, and event-driven integrations.
  • Implement monitoring, guardrails, and model evaluation strategies.
  • Collaborate with cross-functional teams including Data Engineering and Security.

Benefits

  • Hybrid/remote work flexibility.
  • Opportunities for professional growth and development.
  • Participation in innovative projects that leverage cutting-edge technology.
Full Job Description
Job Type

Full-time

Description

Position Summary

We are seeking an AI Engineer to design, build, and deploy Agentic AI solutions leveraging the enterprise Data Lake and modern AI platforms. The role will focus on developing autonomous AI agents, integrating enterprise systems, orchestrating workflows, and delivering intelligent automation across Finance, Supply Chain, Operations, and other business functions.

Key Responsibilities
  • Design and develop Agentic AI solutions using LLMs, AI frameworks, and orchestration platforms.
  • Build AI agents that retrieve, reason over, and act on enterprise data stored in the Data Lake.
  • Develop RAG solutions using vector databases and enterprise knowledge sources.
  • Integrate AI solutions with ERP, CRM, Microsoft Fabric, Azure, APIs, and databases.
  • Design secure automation workflows for approvals, journal entries, document processing, and operational processes.
  • Develop Python services, REST APIs, and event-driven integrations.
  • Implement monitoring, guardrails, prompt engineering, and model evaluation.
  • Collaborate with Data Engineering, BI, Security, and Business stakeholders.
  • Document architecture, standards, and reusable AI components.


Requirements

Qualifications & Education
  • Bachelor's degree in Computer Science, AI, Data Engineering, or related field.
  • 3+ years developing AI/ML or software solutions.
  • Experience with Azure AI, Microsoft Fabric, Azure OpenAI, or similar cloud AI platforms.
  • Strong Python, SQL, REST API, and Git skills.
  • Knowledge of LLMs, RAG, vector databases, LangChain, Semantic Kernel, AutoGen, CrewAI, or similar frameworks.
  • Experience with Data Lakes, Spark, ETL/ELT, and enterprise integrations.
  • Understanding of AI governance, security, and responsible AI.

Preferred Skills
  • Experience integrating SAP, Oracle, Dynamics, or other ERP systems.
  • Knowledge of Power BI, Microsoft Copilot Studio, Power Platform, and automation tools.
  • Experience with CI/CD, Docker, Kubernetes, and Azure DevOps.
  • Exposure to multi-agent systems and workflow orchestration.

What We're Looking For
  • Innovative problem solver.
  • Strong communication and stakeholder engagement.
  • Ability to translate business problems into AI solutions.
  • Passion for automation and continuous improvement.

Work Conditions

Hybrid/remote work with occasional travel. Participation in after-hours deployments may be required.

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