AI Engineer focused on building scalable AI agent systems for enterprises. Engaging with both open-source and closed-source LLMs while ensuring business alignment.
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.
Requirements
Earned a Bachelor’s degree, Master's degree or Ph.D. in Computer Science, Engineering, or a related field.
3+ 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.
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