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Tyndale Enterprises

Tyndale Enterprises

AI Agent & Automation Engineer

Full-TimeDeadline 9/11/27
$158k - $180k/yr

+ Bonus opportunities

Senior
Bachelor's
Houston, TX, USA+1 more

More locations: Bedminster Township, PA, USA

Hybrid

Requires at least one day on-site per week within commuting distance of Pipersville or Houston.

About the job

Requirements
  • A bachelor's degree in Computer Science, Information Systems, Engineering, or a related field is preferred; equivalent practical experience will be considered.
  • A minimum of 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 AWS Lambda, Step Functions, EventBridge, API Gateway, S3, IAM, Secrets Manager, and CloudWatch 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, continuous integration and continuous delivery, infrastructure as code, testing, multi-environment deployment, monitoring, logging, security, and operational support.
  • The ability to understand business processes, translate requirements into technical solutions, and collaborate across technical and non-technical teams is required.
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, Amazon Bedrock 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 with business stakeholders to understand processes and pain points and translate business requirements into automation and agent solutions.
  • Move automations and agents through Development, user acceptance testing, and Production using source control, continuous integration and continuous delivery, infrastructure as code, versioning, testing, approvals, and documented rollback processes.
  • Build security, reliability, and observability into production solutions, including identity and access management, 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 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 technical designs, workflow documentation, operational runbooks, and other documentation needed to 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

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