TL;DR
Senior Software Engineer (Agentic AI): Designing, building, and evolving large-scale cloud-native and AI-powered systems that support a global consulting and enterprise delivery organization with an accent on architectural decisions, driving hands-on development, and shaping next-generation agentic AI solutions. Focus on leading technical direction for AI engineering initiatives, including LLM integration, retrieval-augmented generation (RAG), and enterprise AI agents across critical business workflows.
Location: Remote (Must be based in the United States, salary range for Washington State residents)
Salary: $130,000–$145,000 USD annually
Company
hirify.global is a technology solutions firm headquartered in Bellevue, Washington, leveraging cutting-edge technology to create additional revenue streams and new lines of business for organizations.
What you will do
- Lead architecture, design, and implementation of large-scale cloud-native, full-stack, and AI-powered systems.
- Drive technical direction for AI engineering initiatives like LLM integration, retrieval-augmented generation (RAG), embeddings, and agentic AI patterns.
- Design, re-architect, and extend enterprise AI agents and intelligent workflows across business-critical scenarios.
- Provide senior technical guidance on distributed systems, microservices, event-driven architectures, and cloud integration patterns.
- Lead hands-on development, code reviews, performance tuning, and complex troubleshooting in production environments.
- Mentor senior and mid-level engineers, raising technical quality and engineering maturity across the organization.
Requirements
- 10+ years of overall experience in software engineering, including large-scale enterprise systems.
- Strong hands-on experience with full-stack development using modern backend and frontend technologies.
- Deep expertise in cloud architecture and distributed systems, including microservices and event-driven design.
- Proven experience designing and implementing scalable, secure cloud-native applications.
- Hands-on experience building AI-powered features using LLMs, RAG pipelines, embeddings, and grounding techniques.
- Strong proficiency in backend development (C#, .NET or equivalent) and REST API design.
- Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
- US work authorization is required.
Nice to have
- Master’s degree in Computer Science, Software Engineering, or a related field.
- 3+ years of hands-on experience with AI engineering, including LLM integration, RAG systems, and agentic AI workflows.
- Experience designing or re-architecting enterprise-scale AI agents or intelligent automation platforms.
- Deep experience with cloud PaaS services, cloud security, identity, compliance, and enterprise governance.
Culture & Benefits
- Comprehensive benefits package including medical, dental, and vision coverage.
- Flexible Spending Account and 401k program.
- Competitive PTO offerings and Parental Leave.
- Opportunities for professional growth and development.
- Focus on solving unique business problems with cutting-edge technology.
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