Staff Software Engineer, Applied AI (Forward Deployed) (AI)

TL;DR

Staff Software Engineer, Applied AI (AI): Designing and deploying ML-powered tools that solve meaningful problems with an accent on hands-on model development with robust backend engineering and infrastructure work. Focus on building scalable systems, supporting R&D initiatives, and ensuring rapid iteration and deployment of machine learning solutions in dynamic, production-ready environments.

Location: Must be onsite with clients 3-4 days a week on a regular basis in New York

Salary: $209,000 - $307,000 USD

Company

hirify.global makes AI work through its end-to-end AI platform that structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise.

What you will do

• Build robust, scalable backend systems that support machine learning 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 to improve system capabilities and performance independently.
• Work closely with ML engineers and data scientists to integrate advanced ML technologies.
• Collaborate directly with Invisible’s clients, working embedded with client teams to support use case discovery, product development, and AI deployment.
• Actively participate in research and development of new tools that can enhance our AI capabilities and workflows.

Requirements

• 8+ 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 in backend environments that support AI/ML workloads.
• Prior experience working directly with clients in use case discovery, product development, and leading client engagements.
• Strong proficiency in Python, with deep expertise in 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.

Culture & Benefits

• Fair and competitive pay, reflecting market conditions and individual value.
• Salary structure accounts for regional differences in cost of living while maintaining internal equity.
• Bonuses and equity are included in offers above entry level.
• Opportunity to build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI.
• Dynamic environment with big challenges and unmatched growth potential.