Staff Software Engineer & AI - Scale Production ML

Jobgether; United States; Remote; USD 150,000 - 190,000; Full time

Benefits offered by this job

Health insurance

Annual salary range with bonuses

Equity options

401(k) plan or retirement matching

Flexible paid time off

Parental leave

Wellness stipend

Professional development funding

Volunteer time

Team-building events

Job summary

Jobgether is seeking a senior technical contributor to lead the development and integration of AI-powered capabilities across our SaaS platform. You will ensure reliability, security, and scalability while aligning with customer needs and business goals.

You will collaborate with product, data, and cloud teams to design, build, and deploy production-grade AI services, leverage large language model tooling, and advance streamlined workflows that boost customer value and innovation.

Qualifications

• 10+ years of software engineering experience, ideally in SaaS.
• Track record deploying production AI/ML services at scale.
• Hands-on with LLM frameworks, AI tooling, and model evaluation.
• Strong Python and data manipulation skills; production-grade mindset.

Responsibilities

• Lead AI feature development and integration for SaaS products.
• Collaborate with product and data teams to define AI solutions.
• Build, test, and deploy AI services at scale with reliability.
• Ensure security, scalability, and alignment with business needs.
• Develop tooling and infrastructure for dependable AI deployment.
• Work with cloud operations to monitor performance and impact.

Skills

Python development

Full-stack SaaS

AI/ML services

Cloud & DevOps

Tools

AWS

Job description

Jobgether is seeking a senior technical contributor to lead the development and integration of AI-powered capabilities across our SaaS platform. You will ensure reliability, security, and scalability while aligning with customer needs and business goals.

You will collaborate with product, data, and cloud teams to design, build, and deploy production-grade AI services, leverage large language model tooling, and advance streamlined workflows that boost customer value and innovation.