AI Agent & Automation Engineer

Tyndale Company, Inc.; Doylestown (Bucks County); Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Health & Wellness

Hybrid onsite + remote

Competitive salary

401(k) matching

Tuition reimbursement

Career growth

Job summary

Tyndale Company, Inc. is expanding its AI and automation capabilities and seeks a senior AI Agent & Automation Engineer to design, build, deploy, and support production automations and AI agents in AWS.

You will blend Python development, APIs, enterprise integrations, workflow automation, and agentic AI to turn manual processes into secure, scalable solutions. This senior role is hands-on and requires collaboration with stakeholders, CI/CD, IaC, monitoring, and ongoing production support.

Qualifications

• Bachelor's degree or equivalent practical experience
• 6+ years in automation/engineering roles
• Strong Python development for automation
• AWS automation services experience (Lambda, Step Functions, EventBridge, API Gateway, S3, IAM, CloudWatch)
• Experience with REST APIs and enterprise integrations
• Experience with CI/CD and infrastructure as code in production environments

Responsibilities

• Design, build, test, deploy, and support production automations and AI agents using Python and 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, API Gateway, and related technologies.
• Build integrations across enterprise applications and data sources via APIs, connectors, webhooks, events, and authentication.
• Collaborate with stakeholders to translate requirements into automation and AI solutions delivering measurable value.
• Manage development lifecycle including source control, CI/CD, IaC, testing, approvals, and rollbacks.
• Ensure security, reliability, observability, IAM, secrets management, and cost awareness in production.
• Monitor performance, troubleshoot issues, and drive reliability improvements across automation solutions.
• Provide guidance and mentorship to peers and teams; document designs and runbooks.

Skills

Python development

AWS experience

REST APIs

CI/CD pipelines

Automation engineering

Enterprise integrations

Problem solving

Communication skills

AI agents

Documentation

Education

Bachelor's degree in CS/IS/Engineering

Equivalent practical experience

Tools

AWS Lambda

API Gateway

Bedrock AgentCore

OpenAPI

IAM

Job description

Tyndale is expanding our AI and automation capabilities and seeking an experienced AI Agent & Automation Engineer to build production solutions that transform how work gets done across the business.

This is a senior, hands‑on engineering role focused on designing, building, deploying, and supporting business automations and AI agents in AWS. You’ll combine Python development, APIs, enterprise integrations, workflow automation, and agentic AI to turn manual or fragmented business processes into secure, scalable solutions. From workflow-oriented automation to advanced AI agents capable of executing business tasks, you’ll own solutions through development, deployment, monitoring, and ongoing production support.

HYBRID/REMOTE:

Tyndale supports a strong work-life balance. This opportunity requires onsite work a minimum of 1 day per week, and 4 days per week remotely. To be considered, candidates must reside within a commutable distance from our corporate headquarters in Pipersville, PA (Bucks County) or our location in Houston, TX (City Centre).

About Tyndale

The Tyndale Company is a private, a Top Workplace winner in PA and TX, and an industry leading national supplier of arc-rated flame-resistant clothing (FRC) to the energy sector including utilities, oil and gas, transportation, chemical manufacturing, and NFPA 70E markets. We’re a family-owned business providing a retail-style apparel experience to hundreds of thousands of energy workers across the US and Canada. We’re the leading distributor of innovative FRC solutions, and the largest industrial supplier of Carhartt FR, Ariat FR, and Wrangler FR clothing.

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/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, identifying opportunities for automation, leading process improvements, and helping 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.

Qualifications

Required Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field preferred; equivalent practical experience will be considered.
• Minimum 6 years of experience in automation engineering, software engineering, cloud engineering, integration engineering, business systems, or a similar technical role required.
• Hands‑on experience designing, building, deploying, and supporting production business automations required.
• Strong hands‑on Python development experience 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.
• Strong experience with REST APIs and enterprise integrations, including authentication/authorization, webhooks, events, error handling, and asynchronous or event‑driven integration patterns.
• Experience with production software delivery practices including source control, CI/CD, infrastructure as code, testing, multi‑environment deployment, monitoring, logging, security, and operational support.
• Strong problem‑solving and communication skills with the ability to understand business processes, translate requirements into technical solutions, and collaborate across technical and non‑technical teams.
• Experience building and supporting enterprise AI agents or agentic applications that execute business tasks in production preferred, including experience with Amazon Bedrock AgentCore, Bedrock Guardrails, or comparable technologies.
• Experience with workflow automation platforms, AI agent testing/evaluation, containerization and operational tooling, or enterprise AI governance practices preferred.

Benefits

• Health & Wellness: Comprehensive medical, dental, and vision insurance with competitive premiums. Paid parental leave. Mental health support through an EAP and partial reimbursement on copays, fertility support, and robust wellness programs with annual reimbursements.
• Work-Life Balance: Many positions with Tyndale offer hybrid onsite + remote work schedules, generous PTO, paid holidays + a floating holiday, and more.
• Financial Compensation: Competitive salary, 401(k) with matching, and bonus opportunities.
• Career Growth & Development: Training/certification/tuition reimbursement programs and demonstrated paths for knowledge share and internal promotion opportunity.
• Culture & Perks: Family-owned values, award winning culture, team‑engagement events, casual dress code, company-sponsored charitable events and activities, and an inclusive workplace that values collaboration and integrity.

E.O.E