AI Solutions Engineer

About this role

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Skills you'll use

What you'll do

• Design & Deliver
• Own complex features and services end-to-end—design, build, test, deploy, monitor
• Build intelligent agents, conversational interfaces, and agentic workflows
• Develop Foundation Layer services—reusable AI capabilities exposed as REST APIs and MCP servers
• Design and implement integrations between AI capabilities and enterprise systems
• Make sound technical decisions independently, escalating when appropriate
• Troubleshoot complex issues across the full stack—prompts, orchestration, APIs, infrastructure
• Architecture & Technical Quality
• Contribute to architecture decisions and advocate for good design
• Identify opportunities to extract reusable capabilities from solution-specific work

Who can apply

• 3–6 years of software engineering experience with demonstrated ability to deliver complex work independently
• Strong programming fundamentals in Python and/or TypeScript
• Experience designing and building APIs, services, or distributed systems
• Solid understanding of cloud platforms (Azure preferred, AWS/GCP acceptable)
• Track record of writing well-tested, production-quality code
• Experience with code review—both giving feedback that improves code and receiving it constructively
• Ability to take ambiguous requirements and deliver working solutions
• Experience building AI/ML applications, conversational interfaces, or intelligent automation
• Familiarity with LLM concepts: prompt engineering, RAG patterns, function calling, evaluation
• Experience with Microsoft Power Platform (Power Automate, Copilot Studio)

About Allegis Global Solutions

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