AI Engineer

Atlas
United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Systems Engineering Microsoft Azure Distributed Systems Python (Programming Language) Routing Service-Oriented Architecture Software Engineering Systems Integration Google Cloud
+9 more
Enterprise Software Applications Cloud Platform System Large Language Models Event Driven Architecture Build Management Information Technology Production Code Api Design Programming Languages

Job description

We are seeking a hands-on Senior AI Engineer to design and build AI-enabled solutions that drive operational efficiency, automation, and intelligent workflows across enterprise systems.

This role focuses on applied AI and solution delivery. The ideal candidate will work on complex, real-world problems-ranging from process automation to workflow optimization-and determine when to leverage AI, automation, or traditional engineering approaches to deliver scalable, production-grade solutions.

While experience in regulated or security-conscious environments is valuable, this role is not limited to security use cases and spans broader enterprise applications., Applied AI & Automation

  • Design and build AI-enabled solutions, including agent-based workflows, decision services, and intelligent automations
  • Translate complex or ambiguous business and operational problems into production-ready AI-driven solutions
  • Apply sound judgment to determine when to use AI, automation, or deterministic logic

Systems Integration & Workflow Engineering

  • Develop integrations and automations using APIs, services, and event-driven architectures
  • Build reusable components and workflows to support enterprise-wide automation initiatives
  • Design solutions that streamline manual processes (e.g., forms, routing, approvals, notifications)

Solution Delivery & Collaboration

  • Partner with engineers, product owners, and business stakeholders to deliver effective solutions
  • Write maintainable, well-tested, and production-ready code
  • Contribute to shared patterns, frameworks, and best practices for applied AI and automation, * Delivers scalable, production-grade AI solutions that solve real business problems
  • Builds intelligent workflows that reduce manual effort and improve operational efficiency
  • Translates ambiguous challenges into clear, implementable solutions
  • Develops reusable components and patterns for broader enterprise use
  • Earns trust through strong technical execution and collaboration across teams

  • Creates reusable patterns and solutions that scale across security domains.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field
  • 5-8+ years of experience in software engineering, systems engineering, or related roles
  • Hands-on experience building and deploying real-world AI/LLM-based solutions (not just prototypes)
  • Experience designing agent-based systems, orchestration workflows, or retrieval-based solutions (RAG, APIs, etc.)
  • Proficiency in Python or similar programming languages
  • Strong experience working with APIs, distributed systems, and service-oriented architectures
  • Ability to translate business requirements into end-to-end technical solutions

Preferred Qualifications

  • Experience building AI-enabled automation for business processes or operational workflows
  • Background in regulated industries (e.g., healthcare, pharma, finance, manufacturing)
  • Experience integrating AI solutions into enterprise platforms and internal systems
  • Familiarity with cloud environments (AWS, Azure, Google Cloud Platform)
  • Exposure to security concepts or working within security-conscious environments (nice to have, not required)

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