This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior AI Software Engineer in United States.
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.
Accountabilities:
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.
Requirements:
The ideal candidate combines deep AI expertise with strong engineering and problem-solving skills. Required qualifications include:
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 Have:
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.
Benefits:
This role offers a competitive and comprehensive benefits package, including:
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.
Why Apply Through Jobgether?
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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