Senior Automation Anywhere Engineer - AI Automation, Remote

CEI

Pittsburgh, Northern (Allegheny County, KY)

Hybrid

USD 83,000 - 96,000

Full time

10 days ago
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Job summary

CEI is seeking a Senior Full-Stack Engineer to join the Agentic Platform Development team on a 6-9 month contract. This remote role focuses on enterprise-grade automation and AI-powered services using Automation Anywhere, Python, and LLM/RAG technologies.

You will collaborate with product managers, data scientists, and designers to deliver scalable APIs and fault-tolerant systems, participate in architectural reviews, and drive delivery in an Agile environment.

Qualifications

  • Strong experience with Automation Anywhere in production settings.
  • Proficient in Python development and API integration.
  • Solid understanding of LLM fundamentals and RAG architectures.
  • Experience in systems design, distributed architectures, and production readiness.
  • Ability to design and support highly available production environments.
  • Experience developing and integrating APIs and working in Agile environments.

Responsibilities

  • Design, develop, and support intelligent automation solutions using Automation Anywhere.
  • Build and integrate scalable applications, APIs, and AI-powered services.
  • Develop solutions leveraging LLMs, RAG frameworks, and modern automation technologies.
  • Design and maintain secure, fault-tolerant production systems.
  • Collaborate across Agile teams to deliver high-quality software solutions.
  • Participate in architecture reviews, code reviews, and technical design discussions.

Skills

Automation Anywhere
Python
LLM fundamentals
RAG architectures
Distributed systems
APIs
Agile development
Systems design
Java development
SQL and relational DB

Tools

Jira

Job description

CEI is seeking a Senior Full-Stack Engineer to join the Agentic Platform Development team on a 6-9 month contract. This remote role focuses on enterprise-grade automation and AI-powered services using Automation Anywhere, Python, and LLM/RAG technologies.

You will collaborate with product managers, data scientists, and designers to deliver scalable APIs and fault-tolerant systems, participate in architectural reviews, and drive delivery in an Agile environment.

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