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Remote System Safety Engineer Jobs in Baton Rouge, LA

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

... Management, Engineering, or similar. * Experience with temporary power systems, modular ... Safety-focused culture #LI-BB1 #LI-Remote Equal employment opportunity We welcome people from ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ...

The companies within the Public Safety Brands organization are innovative technology leaders ... Remote Travel: Up to 50% YOUR IMPACT Our Software Trainer will provide assistance for multiple law ...

Follow established safety, archaeological and quality-control procedures * Work effectively under ... Ability to perform physically demanding work in remote terrain * Ability to work extended days and ...

Follow established safety, archaeological and quality-control procedures * Work effectively under ... Ability to perform physically demanding work in remote terrain * Ability to work extended days and ...

Follow established safety, archaeological and quality-control procedures * Work effectively under ... Ability to perform physically demanding work in remote terrain * Ability to work extended days and ...

Showing results 21-40

Remote System Safety Engineer information

See Baton Rouge, LA salary details

$32

$64

$82

How much do remote system safety engineer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for remote system safety engineer in Baton Rouge, LA is $64.23, according to ZipRecruiter salary data. Most workers in this role earn between $52.16 and $75.96 per hour, depending on experience, location, and employer.

What is a remote system safety engineer?

A Remote System Safety Engineer is a professional responsible for analyzing, assessing, and mitigating safety risks associated with complex systems, such as those used in aerospace, automotive, or industrial applications, while working remotely. Their duties typically include conducting hazard analyses, developing safety cases, ensuring compliance with safety standards, and collaborating with multidisciplinary teams online. By working remotely, they leverage digital tools and communication platforms to perform safety assessments, document findings, and support project teams from various locations. This role is critical in ensuring that systems are designed and maintained to operate safely, even as teams work from different geographical areas.

What is the difference between Remote System Safety Engineer vs Remote Systems Engineer?

AspectRemote System Safety EngineerRemote Systems Engineer
Required CertificationsSafety certifications (e.g., ISO 26262, IEC 61508)Networking, hardware, or software certifications
Work EnvironmentFocus on safety protocols, risk assessments, complianceDesign, develop, and maintain system architectures
Industry UsageAutomotive, aerospace, industrial systemsIT, telecommunications, software development
Common Search IntentSafety standards, risk management, complianceSystem design, integration, performance

The Remote System Safety Engineer primarily focuses on ensuring safety standards and risk mitigation in complex systems, often working within regulated industries. In contrast, the Remote Systems Engineer concentrates on designing and maintaining system functionalities. While both roles require technical expertise, their core responsibilities and certifications differ significantly.

What are the key skills and qualifications needed to thrive as a remote system safety engineer?

To thrive as a Remote System Safety Engineer, you need a strong background in systems engineering, risk assessment, and safety standards, often supported by a degree in engineering or a related field. Familiarity with safety analysis tools (such as FMEA, FTA), safety-critical software, and certifications like CISSP or relevant safety engineering credentials is typically required. Excellent problem-solving, attention to detail, and effective remote communication distinguish top performers in this role. These skills ensure the reliable identification and mitigation of safety risks in complex systems, especially when collaborating remotely across teams.

How does a remote system safety engineer typically collaborate with cross-functional teams to ensure system safety standards are met?

As a Remote System Safety Engineer, you'll regularly coordinate with design, hardware, software, and quality assurance teams—often through virtual meetings and collaborative platforms. You'll review design documents, participate in risk assessments, and provide safety recommendations to ensure compliance with industry standards. Effective communication and documentation are key, as you'll need to relay safety requirements and findings clearly to both technical and non-technical stakeholders. Despite working remotely, you'll be an integral part of the team, contributing to project milestones and audits.
What are popular job titles related to Remote System Safety Engineer jobs in Baton Rouge, LA? For Remote System Safety Engineer jobs in Baton Rouge, LA, the most frequently searched job titles are:
What job categories do people searching Remote System Safety Engineer jobs in Baton Rouge, LA look for? The top searched job categories for Remote System Safety Engineer jobs in Baton Rouge, LA are:
What cities near Baton Rouge, LA are hiring for Remote System Safety Engineer jobs? Cities near Baton Rouge, LA with the most Remote System Safety Engineer job openings:

Full-time

Re-posted 2 hours ago


Job description

Join a National Top Workplace 
 
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. 
 
Join Us from Anywhere 
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: 

         Flexible Time Off to recharge when needed 
         Nine Company-Wide Holidays 
         A diverse suite of benefits prioritizing your growth, development, and personal well-being 

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


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.

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  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

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  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. 
 
A place for all We celebrate and embrace diversity at Kobie! 
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. 
 
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. 
 
Ready to join us? 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! 
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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