Senior Software Engineer I (AI)

TL;DR

Senior Software Engineer I (AI): Building and evolving capable AI agent systems, implementing frontier AI algorithms and architectures, and enhancing products with machine learning, LLMs, and AI agents with an accent on agent orchestration, sandboxed file systems and code execution, latency optimization, agent memory, and LLM self-reflection. Focus on productionizing AI algorithms at scale, solving complex engineering problems, and driving the evolution of engineering areas for lasting customer value.

Location: Mountain View, CA

Company

hirify.global is the Agentic AI Assistant platform that empowers the entire workforce by enabling employees to converse with business systems through natural language.

What you will do

• Take on difficult engineering challenges to build and evolve reliable AI agent systems.
• Implement frontier AI algorithms and architectures and help productionize them at scale.
• Use the latest advances in machine learning, LLMs, and AI agents to enhance products and create user experiences.
• Contribute to roadmap and help drive the evolution of engineering areas.
• Hone your craft in writing robust, extensible, readable, and performant code.
• Partner with subject matter experts across the company including in machine learning, security, product, user experience, and customer success.
• Mentor other engineers on the team in how to build, maintain, and evolve great software.
• Collaborate with machine learning engineers to build world-class AI systems.

Requirements

• 2+ years experience designing, building, and improving production systems, ideally at scale.
• Ability to think and communicate clearly about complex engineering problems and systems.
• Comfort giving and receiving feedback, and in holding yourself and your coworkers accountable to a high standard of operational excellence.
• Readiness to hit the ground running in a Mac development environment, programming in Python, Golang, and/or Java.
• Desire to ship at a startup pace with a high degree of ownership.
• Attention to detail and drive to ship production-grade code.
• Strong appetite for continuous incremental wins and completing challenging projects fast.
• High level of curiosity about engineering outside of immediate discipline and ongoing desire to learn and stay at the cutting edge of applied AI.

Nice to have

• Experience building with LLMs, particularly in iterating on prompts, on model selection, on cognitive architecture design, and on latency/correctness tradeoffs in a data-driven way.
• Hands-on experience driving one or more stages of a machine learning problem-solving lifecycle, such as experiment setup, dataset curation, model training, offline evaluation and error analysis, deployment, and online evaluation.
• Experience in AI fairness, privacy, permission controls, safety, and/or security.

Culture & Benefits

• Market competitive salary and equity for all full time roles.
• Exceptional benefits.
• Opportunity to do impactful work with a bright, dedicated, and impact-driven team.
• Be at the forefront of the AI transformation.
• Backed by the global scale of ServiceNow and the agility of a high-growth company.