AI Agent Engineer

Key Responsibilities

• Develop complex multi-step agentic pipelines around open- and closed-source LLMs.
• Build tools enabling AIs to interact with critical enterprise software platforms.
• Ensure AI designs align with business objectives and industry best practices.
• Create data generation and processing pipelines to train and fine-tune custom ML models.
• Implement and manage training and evaluation pipelines for LLMs.
• Manage AI infrastructure across platforms such as AWS, Azure, or GCP.
• Deploy inference endpoints and serve AI and LLM technologies as part of our core product infrastructure.

Required Qualifications

• Earned a Bachelor’s degree, Master's degree or Ph.D. in Computer Science, Engineering, or a related field.
• 5+ years of experience in software engineering, platform engineering, or related roles.
• Proven expertise in AI model building and agent development.
• Strong background in ML and LLM-driven systems development.
• Experience with compound AI systems, vector databases, and tool-calling AIs.
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

Preferred Qualifications

• Experience building & deploying production-grade, large-scale AI applications.
• Familiarity with AI deployment, evaluation, and monitoring practices.
• Strong communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.