Software Development Engineer (AI)

TL;DR

Software Development Engineer (AI): Architecting and scaling Gen AI-powered platforms and development tools for trustworthy customer experiences with an accent on Model Context Protocol and agentic AI systems. Focus on fine-tuning large language models, designing retrieval-augmented generation (RAG) architectures, and establishing enterprise-scale vector database infrastructures optimized for semantic search and AI workloads.

Location: Remote

Company

hirify.global is responsible for maintaining and raising the trust bar for hirify.global customers across a diverse set of 30+ Devices and Services.

What you will do

• Lead strategic engagement with cross-functional partners to define technical requirements and drive innovative solutions.
• Architect and develop next-generation AI solutions including agentic AI systems, multi-agent orchestration frameworks, and Model Context Protocol (MCP) implementations.
• Lead initiatives in fine-tuning large language models, designing retrieval-augmented generation (RAG) architectures, and establishing enterprise-scale vector database infrastructures optimized for semantic search and AI workloads.
• Architect and deploy production-grade services on AWS using cloud-native architectures.
• Design and implement centralized tooling platforms and automation systems that enable engineering teams to move fast while maintaining high quality standards.
• Mentor engineers and influence engineering culture around software development best practices, system design, and technical innovation.

Requirements

• 3+ years of non-internship professional software development experience.
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
• Experience programming with at least one software programming language.
• Experience building complex software systems that have been successfully delivered to customers.

Nice to have

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
• Bachelor's degree in computer science or equivalent.
• Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution.

Culture & Benefits

• TFO is dedicated to supporting new members.
• Broad mix of job families, experience levels and tenures.
• Building an environment that celebrates subject matter expertise, collaboration, knowledge sharing, and mentorship.