Note: The job is a remote job and is open to candidates in USA. Sonar is a mission-driven startup redefining mental health support through AI-enabled chat-based solutions. They are seeking an Applied AI Engineer to build and evaluate AI systems that enhance mental health workflows, contributing to the design and improvement of AI tools and processes.

Responsibilities

• Design, build, and improve agent-based AI systems for internal workflows
• Develop internal tooling and infrastructure for evaluating AI system quality and performance
• Build frameworks to benchmark models, vendors, and system configurations to inform product decisions
• Improve the quality, reliability, and effectiveness of internal agents through testing, iteration, and experimentation
• Partner cross-functionally to translate ambiguous product and operational needs into automated processes
• Contribute to the design of memory, feedback, and workflow systems that improve AI performance over time
• Contribute to our internal codebase to implement and improve AI systems and tools

Skills

• Strong proficiency in Python and SQL
• Familiarity with GitHub and modern software engineering workflows
• Experience building projects involving agents, LLM-based systems, or related AI applications
• Clear evidence of shipping and implementing technical projects, whether in industry, research, or high-quality side projects
• Ability to operate effectively in ambiguous, fast-paced environments
• Experience working with conversational datasets
• Bachelor's or Master's degree in computer science, data science, or a related field
• Experience working with mental health and/or healthcare data
• Familiarity with LangGraph and Pydantic for multi-agent orchestration
• Experience designing or running AI evaluations
• Contributions to open-source AI repositories

Benefits

• Equity: Meaningful equity, commensurate with experience
• Unlimited PTO
• Health benefits

Company Overview