AI Systems Engineer (In-Person/No remote work)

KEYSTONE SPORTS CONSTRUCTION LLC
Phoenixville, PA, United States
3 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$55,000.0 - $65,000.0
Working hours
Regular working hours
Job source

Tech stack

JavaScript (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Optical Character Recognition (OCR) Business Systems Cloud Computing Cloud Storage Databases Relational Databases Database Design Decision Support Systems Information Extraction
+17 more
Python (Programming Language) PostgreSQL Software Tools Cloud Services Software Engineering Software Systems SQL Databases TypeScript ReactJS Large Language Models Multi-Agent Systems Prompt Engineering Backend Front End Software Development Api Design Webhooks Data Pipelines

Job description

We are looking for an AI Systems Engineer to help design and build internal AI-enabled software systems that improve how our business operates. This person will work across engineering, automation, data, and business operations to turn complex manual processes into reliable, secure, and scalable software workflows. This person will build production-grade systems, integrate with existing business tools, and create thoughtful human-in-the-loop workflows where AI assists teams with analysis, decision support, document handling, and operational execution., * Design, build, and maintain internal AI-powered software tools and workflow automation systems.

  • Integrate AI capabilities into existing business processes, applications, and third-party platforms.
  • Build full-stack applications, APIs, backend services, data pipelines, and user-facing interfaces.
  • Develop systems for document processing, information extraction, summarization, classification, and decision support.
  • Implement human review, approval, audit, and override flows for AI-generated outputs.
  • Create reliable integrations with business systems such as CRMs, email, cloud storage, databases, and internal tools.
  • Work with stakeholders to understand operational pain points and translate them into technical solutions.
  • Ensure systems are secure, maintainable, observable, and designed for real-world business use.
  • Evaluate and implement AI models, LLM APIs, agent frameworks, and automation tooling where appropriate.

Requirements

Do you have experience in TypeScript?, * Strong full-stack or backend software engineering experience.

  • Experience building production software.
  • Familiarity with LLMs, AI agents, prompt engineering, structured outputs, RAG, or AI workflow orchestration.
  • Comfortable integrating with APIs, webhooks, databases, cloud services, and
  • third-party platforms.
  • Able to work with ambiguous business requirements and turn them into clear technical plans.
  • Strong product judgment and communication skills.
  • Practical mindset focused on reliability, usability, security, and business value.
  • Excited to build internal systems that give the company a real operational advantage.

Preferred Skills

  • TTypeScript, JavaScript, Python, or similar.
  • React or another modern frontend framework.
  • API design, backend services, background jobs, and database design.
  • SQL / PostgreSQL or similar relational databases.
  • Cloud deployment experience.
  • LLM APIs such as OpenAI, Anthropic, Gemini, or similar.
  • Experience with document processing, OCR, workflow automation, or internal tools

Benefits & conditions

Pulled from the full job description

  • 401(k)
  • Health insurance
  • Paid time off, * 401(k)
  • Health insurance
  • Paid time off

Application Question(s):

  • Do you acknowledge that this position is NOT remote and is located in the state of Pennsylvania where you would have to live within a reasonable commuting distance? Please respond as Yes or No?

About the company

Keystone Sports Construction builds elite athletic facilities across the Mid-Atlantic. We specialize in the installation, maintenance, and repair of synthetic turf fields, running tracks, hardwood gymnasium flooring, and hardcourt surfaces.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

1:21 min

Exploring the target application for front end tests

Anna Mcdougall · JS Congress

1:28 min

Synchronizing database webhook triggers with pipeline webhooks

Bobur Umurzokov · LIVE

1:16 min

Adjusting technical interviews for an AI-native industry

Ayotunde Obasa Ayotunde Obasa · Europe 2026 Virtual

1:12 min

Choosing TypeScript for complex backend applications

Maximilian Otto Maximilian Otto · World Congress 2024

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