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.