Software Engineer, Forward Deployed (AI)

TL;DR

Software Engineer, Forward Deployed (AI): Developing and maintaining AI/ML systems with an accent on cloud operations and management. Focus on problem-solving and cross-functional collaboration with ML engineers and data scientists to integrate advanced ML technologies, ensuring seamless operations across various platforms.

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

Salary: $147,000 - $216,000 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 where it matters most.

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
• Independently explore and address complex problem spaces to improve system capabilities and performance
• Work closely with ML engineers and data scientists to integrate advanced ML technologies, ensuring seamless operations across various platforms
• Collaborate directly with clients 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

• 2+ 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

• Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings.
• Ownership is at the core of everything we do.
• Expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity.
• The pace is fast, the challenges are big, and the growth is unmatched.