Senior Software Engineer (AI)

TL;DR

Senior Software Engineer (AI): Designing, building, and scaling AI-centric distributed systems that power offensive security and penetration testing products with an accent on LLM-driven workflows, RAG pipelines, and automated vulnerability detection. Focus on owning the end-to-end lifecycle of AI-powered features, leading architecture discussions, and mentoring engineers.

Location: Hybrid in Peru

Company

hirify.global is a global company offering Software and Digital Engineering solutions, including Cloud Services, AI & LLM Engineering, and Cybersecurity.

What you will do

• Design, build, and scale AI-centric distributed systems for offensive security and penetration testing products.
• Lead the development of agentic AI capabilities, including LLM-driven workflows and RAG pipelines.
• Own the end-to-end lifecycle of AI-powered features, from architecture to deployment and optimization.
• Drive technical excellence by leading architecture discussions, code reviews, and mentoring engineers.

Requirements

• 7+ years of experience in backend engineering and distributed systems in production-grade environments.
• 4+ years of expert-level experience in Go (Golang) and strong hands-on proficiency in Python for AI-driven systems.
• Proven experience building AI-enabled applications using LLMs, RAG architectures, and agentic workflows.
• Strong understanding of token usage optimization, LLM cost control strategies, and performance tuning for large-scale AI systems.
• Deep expertise in microservices architecture, RESTful APIs, gRPC, Docker, Kubernetes, and cloud platforms (GCP preferred).
• Strong experience with relational and NoSQL databases, including performance optimization.
• Solid testing practices including unit testing, integration testing, and BDD, along with modern CI/CD and DevOps workflows.

Nice to have

• Cybersecurity or offensive security experience.

Culture & Benefits

• Collaborate with cross-functional teams.
• Continuously improve software development practices.
• Work in fast-paced, innovation-driven environments.
• Hiring based solely on skills, without discrimination.