Senior AI Software Engineer

Jobgether

5d • Remote

About The Position

We are seeking a highly skilled Senior AI Software Engineer to design, develop, and deploy production-grade AI systems that deliver tangible business and customer impact. In this role, you will work autonomously to shape the architecture, standards, and practices for AI-driven solutions, translating complex real-world challenges into reliable, scalable, and maintainable software. You will collaborate with product and engineering teams to define technical strategy, mentor peers, and implement cutting-edge AI technologies. The position emphasizes practical, customer-focused thinking and provides the opportunity to work on large-scale AI applications with real-world operational requirements in a dynamic, innovative environment.

Requirements

• 5+ years of professional software engineering experience with a significant focus on applied AI.
• Proven experience deploying LLM-powered systems or AI applications in production environments.
• Strong proficiency in Python and experience building production-scale AI/LLM applications, including agent orchestration, retrieval, evaluation, and monitoring.
• Experience working with large, real-world datasets and handling data quality challenges.
• Demonstrated expertise in system design, architecture, and decision-making for complex AI systems.
• Familiarity with agent architectures, tool interfaces, and orchestration patterns.
• Experience with modern cloud-based architectures and infrastructure.
• Strong analytical, problem-solving, and collaboration skills, with a continuous learning mindset.

Nice To Haves

• Experience applying AI in a B2B SaaS environment.
• Knowledge of data from CRM, MAP, or CDP systems.
• Experience with AWS infrastructure, Terraform, EKS, Postgres, MySQL, Datadog, and GitLab.

Responsibilities

• Designing, implementing, and shipping AI-driven features and systems into production environments.
• Leading technical decisions around AI architecture, data modeling, and system integration.
• Partnering with product, engineering, and other stakeholders to translate business requirements into scalable AI solutions.
• Identifying and resolving reliability, scalability, performance, and observability challenges in deployed AI systems.
• Implementing and promoting best practices for applied AI, including evaluation frameworks, interpretability, monitoring, and safe agent operations.
• Mentoring and guiding other engineers to elevate the team’s technical quality and decision-making.
• Contributing to technical strategy and roadmap discussions for AI capabilities and platform evolution.

Benefits

• Competitive salary reflecting experience, role scope, and geographic location.
• Health, dental, and vision insurance.
• Paid time off and holiday pay.
• 401(k) retirement plan.
• Equity opportunities.
• Flexible, remote-first work environment.
• Opportunities to influence AI platform direction and work on cutting-edge applied AI technologies.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed