Senior AI Software Engineer

Jobgether
5dRemote

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.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service