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Remote Plc Ladder Logic Programming Jobs in Minnesota

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... logic. We're looking for a hands-on AI Engineer to ship on that platform: building agent harnesses ...

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Remote Plc Ladder Logic Programming information

What are the key skills and qualifications needed to thrive as a Remote PLC Ladder Logic Programmer, and why are they important?

To thrive as a Remote PLC Ladder Logic Programmer, you need a strong background in industrial automation, control systems engineering, and proficiency in ladder logic programming, often supported by a degree in electrical or automation engineering. Familiarity with major PLC platforms (such as Siemens, Allen-Bradley, or Schneider Electric) and programming software, along with relevant certifications, is typically required. Strong problem-solving skills, attention to detail, and effective remote communication are vital soft skills for this role. These competencies ensure reliable system operation, efficient troubleshooting, and seamless collaboration with on-site teams, which are critical for maintaining industrial processes remotely.

What are some common challenges faced by remote PLC Ladder Logic Programmers, and how can they be overcome?

Remote PLC Ladder Logic Programmers often face challenges such as limited access to on-site hardware for testing and troubleshooting, as well as communication gaps with on-site engineers or operators. To overcome these issues, it's important to establish clear channels for remote diagnostics, utilize simulation tools for code testing, and maintain regular virtual meetings with the on-site team. Building strong documentation practices and remote support protocols can also help ensure smooth project execution and minimize downtime.

What is Remote PLC Ladder Logic Programming?

Remote PLC Ladder Logic Programming refers to the process of designing, developing, and troubleshooting ladder logic programs for Programmable Logic Controllers (PLCs) from a remote location. This allows engineers and technicians to update, monitor, or diagnose PLC-controlled systems without being physically present on-site. Remote programming is commonly used in industrial automation to increase efficiency, reduce downtime, and support geographically dispersed operations. It requires reliable network connections and secure remote access tools to ensure safe and effective control of machinery and processes.

What is the difference between Remote Plc Ladder Logic Programming vs Remote Automation Technician?

AspectRemote Plc Ladder Logic ProgrammingRemote Automation Technician
CredentialsTypically requires PLC programming certifications, technical degreesOften requires technical certifications, associate degrees in automation or electronics
Work EnvironmentPrimarily computer-based, remote troubleshooting, and programmingRemote or on-site, involves system maintenance and troubleshooting
Industry UsageUsed in manufacturing, industrial automation, and control systemsUsed in industrial facilities, manufacturing plants, and automation services

Remote Plc Ladder Logic Programming focuses on creating and troubleshooting PLC programs remotely, while Remote Automation Technicians handle broader system maintenance and repairs. Both roles require technical certifications and are vital in industrial automation, but their daily tasks and scope differ.

What are popular job titles related to Remote Plc Ladder Logic Programming jobs in Minnesota? For Remote Plc Ladder Logic Programming jobs in Minnesota, the most frequently searched job titles are:
What cities in Minnesota are hiring for Remote Plc Ladder Logic Programming jobs? Cities in Minnesota with the most Remote Plc Ladder Logic Programming job openings:
AI Engineer

AI Engineer

Kobie Marketing

Minneapolis, MN โ€ข Remote

Full-time

Posted 10 days ago


Job description

Join a National Top Workplaceย 
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Named a Top Workplace in the USA and Top Remote Workplace, Kobie is where the best minds in loyalty come together, driven by passion and innovation. We're always looking for talented individuals who are ready to join a collaborative, growth-focused culture. As a partner to some of the world's most recognized brands, we are leaders in loyalty, helping brands build lasting emotional connections with their consumers.ย 
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Join Us from Anywhereย 
While our headquarters are nestled in sunny St. Petersburg, Florida, Kobie embraces a flexible work environment, offering teammates the freedom to work remotely. We understand the importance of work-life balance and support our team with:ย 

ย ย ย ย ย ย ย ย  Flexible Time Off to recharge when neededย 
ย ย ย ย ย ย ย ย  Nine Company-Wide Holidaysย 
ย ย ย ย ย ย ย ย  A diverse suite of benefits prioritizing your growth, development, and personal well-beingย 

Discover more about our perks and benefits here.ย 
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Kobie is a values-led organization where we believe that everyone is a leader, regardless of their position or role.ย 


About the team and what we'll build together

Kobie runs some of the largest loyalty programs in the world. We're building an internal agent platform on Amazon AgentCore that automates analyst workflows, surfaces insights from program data in Snowflake, and gives our teams and clients an LLM-native way to work with complex loyalty logic.

We're looking for a hands-on AI Engineer to ship on that platform: building agent harnesses, writing the tools those agents call, and owning the reliability and evaluation of what goes to production. This is not a research role. You'll prototype, ship, monitor, and iterate on features used by real teams

Our team tends to be people who reason carefully, ship working code,and pick up new tools without a lot of handholding. There's no single path into this role. We value the impact of what you've built and your track record of building things that hold up.

Role & responsibilities - How you will make an impact

Agent Development

  • Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured outputs (Pydantic/JSON schema), retries, streaming, and memory
  • Package agent harnesses for the AgentCore Runtime with appropriate context, tools, skills, and subagents that fit cleanly into production flows and scenarios
  • Write the tools and skills agents use ย API integrations, SQL queries against Snowflake, Snowflake backed knowledge retrieval with clear contracts and Pydantic validation

Evaluation and Reliability

  • Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore Evaluations, and wire them into CI
  • Implement guardrails around tool execution: auth scoping, input/output validation, PII and prompt-injection protections, and hallucination mitigation
  • You own what you ship: prototype, deploy through Amazon AgentCore, monitor traces, and fix it when it breaks

Collaboration

  • Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex Search Services)
  • Contribute to refining our internal engineering patterns as the stack evolves

Skill sets- What you need to be successful

Required

  • 3+ years of professional Python, with production experience building and operating services
  • 1+ years of hands-on work with LLMs in production: prompt/context engineering, tool/function calling, structured outputs, RAG
  • Working knowledge of LangChain/LangGraph or a comparable framework like AgentCore Strands, CrewAI, or Semantic Kernel
  • Experience with LLM observability tools: Amazon CloudWatch, LangSmith, Langfuse, MLflow, or OpenTelemetry
  • Experience designing evaluation frameworks (MLFlow, DeepEval, LLM-as-judge, multi-turn regression)
  • Fluency with Git, Docker, and modern API frameworks
  • Clear written communication and the judgment to know when something is ready to ship

A bachelor's degree is not required. Equivalent practical experience: including bootcamps, self-taught work, career changes, or non-CS technical degrees counts.

Strongly Preferred

  • Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory, policy, guardrails, observability, awscli, evaluations
  • Experience with Snowflake, Snowpark, or Snowflake Cortex
  • Fluency in writing and reading SQL, as well as understanding semantic models.
  • Familiarity with multi-agent patterns: supervisor/router, subagent/handoff, reflection, human-in-the-loop
  • A considered view on where agents should and shouldn't act and comfort pushing back when "let's add an agent" isn't the right answer
  • Experience in Loyalty, MarTech, AdTech, or a comparable data rich B2B domain
Who we are ย As a trusted partner, Kobie delivers market-leading, end-to-end loyalty solutions designed to enable customer experiences for the world's most successful brands. We do this with a strategy-led technology approach that uncovers the truth behind what drives consumers on an emotional level. We believe that our team's passion and expertise are the driving forces behind our success and are proud to be named a Top Workplaces in the USA, where the best and brightest in loyalty drive our mission of growing enterprise value through loyalty.ย 
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A place for allย We celebrate and embrace diversity at Kobie!ย 
Employment at Kobie is based solely on an individual's merit and qualifications, which are directly related to professional competence. We do not discriminate against any teammate or applicant because of race,color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or any other characteristic protected by applicable law.ย 
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We are fiercely committed to fostering a workplace where teammates can bring their authentic selves to work every day. Our DEI initiatives, including various committees, ensure that principles of equity, diversity, and inclusion are deeply ingrained throughout Kobie. While our leadership team fully supports our policy of nondiscrimination and equal opportunity, it is the responsibility of all teammates to uphold these values.ย 
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Ready to join us?ย If you're ready to make an impact and grow in a supportive, innovative environment, we'd love to hear from you. Apply today and join the best and brightest in loyalty!ย 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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