Staff Software Engineer | AI

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

Benefits offered by this job

Medical, dental, vision insurance

Annual bonuses

Equity options

401(k) plan

Flexible PTO

Parental leave

Wellness stipend

Professional development

Job summary

Jobgether is seeking a Staff Software Engineer - AI based in the United States to design and deliver AI-powered features across a SaaS product suite. You will work with AI engineers, data scientists, and cloud operations to scale intelligent solutions.

You will contribute to large language models, data preparation, model evaluation, and secure cloud deployment, writing Python and building production-ready AI services.

Qualifications

• 10+ years of professional software engineering experience, preferably in full‑stack SaaS or backend.
• Proven production AI/ML services at scale.
• Hands-on with large language model frameworks and tooling.
• Strong Python and data manipulation skills with model evaluation workflows.
• Experience with AWS or similar cloud environments and DevOps practices.

Responsibilities

• Collaborate with product managers to translate challenges into AI-driven solutions.
• Design, develop, and integrate AI features into SaaS products to expand capabilities.
• Partner with data teams to prepare data for AI applications.
• Build, test, and evaluate AI services at production scale.
• Write high-quality Python code for data orchestration and LLM interactions.
• Develop tools and infrastructure for secure, scalable AI deployment.
• Collaborate with cloud ops to deploy, monitor, and optimize AI features.
• Apply AI technologies to improve workflows and decision making.
• Provide technical leadership across the AI lifecycle.

Skills

Python

LLMs

SaaS backend

AWS

DevOps

Full-stack

Tools

PyTorch

TensorFlow

Docker

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Software Engineer | AI based in the United States. The Staff Software Engineer | AI will play a key role in designing and delivering intelligent features that enhance a suite of SaaS products serving professional services businesses. You will work alongside experienced AI engineers, product managers, data scientists, and cloud operations specialists to transform business challenges into practical AI-powered solutions. From early-stage prototypes to production-ready services, you will help bring advanced AI capabilities to customers at scale. Your work will span large language models, data preparation, model evaluation, and secure cloud deployment. By combining strong software engineering expertise with hands‑on AI experience, you will help shape the platform’s technical direction and improve customer outcomes. This role offers the opportunity to drive innovation in a growing technology environment that values collaboration, continuous learning, and measurable impact.

Accountabilities

• Collaborate with product managers and business stakeholders to identify challenges and translate them into effective AI-driven solutions.
• Design, develop, and integrate AI features into existing SaaS products, expanding platform capabilities and improving the customer experience.
• Partner with data teams to ensure relevant data is collected, enriched, prepared, and made available for AI applications.
• Build, test, and evaluate AI-powered services, progressing from customer‑facing prototypes to production‑grade solutions available at scale.
• Write high‑quality Python code to manipulate data, interact with large language models, and evaluate the performance and reliability of AI systems.
• Develop tools, services, and infrastructure that support secure, scalable, and dependable AI deployment.
• Collaborate with cloud operations teams to deploy AI features, monitor performance and business impact, and continuously optimize production systems.
• Apply modern AI technologies and engineering practices to improve workflows, support better decision‑making, and enable product innovation.
• Contribute technical leadership and engineering best practices across the AI development lifecycle, from experimentation and evaluation through production deployment and ongoing improvement.

Requirements

• 10+ years of professional software engineering experience, ideally in full‑stack SaaS application development or backend engineering.
• A proven track record of building and deploying production‑ready AI or machine learning services at scale.
• Hands‑on experience with large language model frameworks, platforms, evaluation methods, and related AI tooling.
• Strong Python development skills or equivalent expertise in a modern programming stack, with familiarity in data manipulation and model evaluation workflows.
• Experience building scalable data infrastructure and integrating AI models into broader SaaS systems.
• Experience with AWS or an equivalent cloud environment, along with modern DevOps practices.
• Demonstrated ability to use AI tools and technologies to improve workflows, enhance decision‑making, or drive innovation.
• Strong problem‑solving skills and the ability to translate business requirements into maintainable, production‑quality technical solutions.
• Effective communication and collaboration skills, with the ability to work closely with engineering, product, data, and cloud operations teams.

Benefits

• Annual salary range of $150,000–$190,000. Compensation may vary by work location, particularly outside the United States, Austin, and California, as well as by experience, skills, education, and other job‑related factors.
• Medical, dental, and vision insurance options, including a company‑paid high‑deductible health plan for employees.
• Competitive financial benefits, including annual bonuses, equity options, and a 401(k) or RRSP for eligible employees in Canada, with a company match.
• Flexible paid time off and paid holidays.
• Parental leave to support new parents.
• Wellness stipends, mental health support, and one‑on‑one nutrition coaching.
• Professional development opportunities through internal learning programs, leadership development, and individual development funding.
• Charitable donation matching, paid volunteer time, and company‑sponsored volunteer activities.
• Virtual and in‑person team‑building events, employee recognition programs, and peer‑to‑peer appreciation initiatives.
• A collaborative and inclusive culture that emphasizes continuous learning, employee well‑being, and opportunities to make a meaningful impact.