Principal Software Engineer (AI/ML)

TL;DR

Principal Software Engineer (AI/ML): Building and deploying ML-powered tools and scalable backend systems for an end-to-end AI platform with an accent on Agentic AI, ML model development, and cloud operations. Focus on integrating advanced ML technologies, solving complex problem spaces, and directly engaging with top clients for use case discovery and solution deployment.

Location: Hybrid (New York or London), requiring onsite presence 3-4 days a week with clients

Salary: $250,000–$366,000 USD annually

Company

hirify.global is a profitable AI platform company that develops end-to-end AI solutions, helping over 80% of top AI companies structure data, automate workflows, and deploy agentic solutions.

What you will do

• Contribute to scaling models and improving platform performance.
• Develop and maintain robust, scalable backend systems for ML operations and data processing pipelines.
• Oversee and optimize cloud infrastructure to ensure efficient deployment and operation of ML models.
• Explore and address complex problem spaces independently to improve system capabilities.
• Collaborate with ML engineers and data scientists to integrate advanced ML technologies.
• Engage directly with clients for use case discovery, product development, and AI deployment.

Requirements

• 5+ years of software engineering experience with a strong focus on ML engineering and deploying machine learning models in production.
• Extensive experience in full-stack development, particularly backend environments supporting AI/ML workloads.
• Prior experience working directly with clients in use case discovery, product development, and leading client engagements.
• Strong proficiency in Python, LLMs, AI Agents, and ML model development.
• Experience designing and deploying scalable ML systems, such as retrieval-augmented generation (RAG) pipelines and production-grade AI applications.
• Extensive experience with cloud platforms (AWS, GCP, Azure) and operational best practices for ML workloads.
• Familiarity with Kubernetes and other container management tools.
• Experience with MLOps frameworks and DevOps principles as applied to machine learning models.
• Excellent communication skills, with the ability to collaborate effectively in dynamic, cross-functional teams and with clients.

Culture & Benefits

• Commitment to fair and competitive pay, ensuring compensation reflects market conditions and value.
• Bonuses and equity included in offers above entry level.
• Operate at the intersection of advanced AI and human ingenuity, pushing boundaries of what’s possible.
• Emphasis on ownership, innovation, and shaping the future alongside world-class clients.
• Thrive in a dynamic, fast-paced environment for those driven to create and be part of the AI revolution.