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Tyndale Enterprises

Makes and sells protective work clothing

AI Agent & Automation Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Systems, Engineering, or a related field is preferred; equivalent practical experience is considered.
  • At least 6 years of experience in automation engineering, software engineering, cloud engineering, integration engineering, business systems, or a similar technical role is required.
  • Hands-on experience designing, building, deploying, and supporting production business automations is required.
  • Strong hands-on Python development experience is required, including automation logic, API integrations, data transformations, testing, error handling, and logging.
  • Hands-on AWS experience building automation and integration solutions using services such as Lambda, Step Functions, EventBridge, API Gateway, S3, IAM, Secrets Manager, CloudWatch, or similar services is required.
  • Strong experience with REST APIs and enterprise integrations is required, including authentication and authorization, webhooks, events, error handling, and asynchronous or event-driven integration patterns.
  • Experience with production software delivery practices is required, including source control, CI/CD, infrastructure as code, testing, multi-environment deployment, monitoring, logging, security, and operational support.
  • Experience building and supporting enterprise AI agents or agentic applications that execute business tasks in production is preferred, including experience with Amazon Bedrock AgentCore, Bedrock Guardrails, or comparable technologies.
  • Experience with workflow automation platforms, AI agent testing and evaluation, containerization and operational tooling, or enterprise AI governance practices is preferred.

Responsibilities

  • Design, build, test, deploy, and support production business automations and AI agents using Python, Amazon Quick Automate, Amazon Bedrock AgentCore, APIs, and other AWS services.
  • Develop maintainable Python components for business logic, data transformations, API interactions, workflow orchestration, and agent capabilities.
  • Design reusable APIs and agent tools using REST/OpenAPI, AWS Lambda, Amazon API Gateway, AgentCore Gateway, and related technologies.
  • Build integrations across enterprise applications and data sources using APIs, native connectors, webhooks, events, authentication, and event-driven or asynchronous workflow patterns.
  • Partner directly with business stakeholders to understand processes and pain points and translate business requirements into effective automation and agent solutions that deliver measurable value.
  • Move automations and agents reliably through Development, UAT, and Production using source control, CI/CD, infrastructure as code, versioning, testing, approvals, and documented rollback processes.
  • Build security, reliability, and observability into production solutions, including IAM and least-privilege access, secrets management, authentication and authorization, guardrails, audit logging, monitoring, exception handling, and cost awareness.
  • Monitor automation and agent performance, including execution status, failures, tool calls, latency, access denials, usage, and cost using Amazon CloudWatch, OpenTelemetry, and related capabilities.
  • Troubleshoot production issues, perform root-cause analysis, and continuously improve the reliability, scalability, performance, and supportability of automation and AI solutions.
  • Serve as a technical resource for assigned business processes and systems, identify automation opportunities, lead process improvements, and help teams adopt new AI-enabled capabilities.
  • Provide technical guidance, mentoring, and knowledge transfer to peers and project teams while helping establish scalable automation and AI engineering practices.
  • Maintain clear technical designs, workflow documentation, operational runbooks, and other documentation needed to effectively support production solutions.

Desired Qualifications

  • Experience building and supporting enterprise AI agents or agentic applications that execute business tasks in production, including experience with Amazon Bedrock AgentCore, Bedrock Guardrails, or comparable technologies.
  • Experience with workflow automation platforms, AI agent testing and evaluation, containerization and operational tooling, or enterprise AI governance practices.

About the Company

Tyndale Enterprises

Makes and sells protective work clothing

Tyndale Enterprises makes and sells protective clothing for workers exposed to electrical arcs, flash fires and other workplace hazards. Its managed apparel programs combine its own garments with clothing from outside brands, giving employers a single supplier for protective workwear. Employees order through company accounts, while Tyndale handles fitting, branding and delivery and tracks garment purchases and spending for the employer. The business earns revenue from clothing sales through employer programs, online retail and factory stores, with services built around each customer's uniform needs. Tyndale is headquartered in Pipersville, Pennsylvania.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Not listed
Founded
Not listed

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