AI Engineer

Design and implement agent workflows integrating structured and unstructured data, build scalable backend systems and APIs, integrate language models for retrieval, embedding, and function-calling use cases, and fine-tune and deploy models for personalized AI and intent matching.

Responsibilities

• Design and build agent workflows that integrate structured and unstructured data
• Create knowledge graphs and preference embeddings for personalized AI
• Architect and implement scalable backend systems and APIs
• Develop LLM action agent frameworks and AI toolsets beyond existing libraries
• Integrate language model APIs for retrieval, embedding, and function calls
• Fine-tune, deploy, and iterate on language and action models

Requirements

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field
• Proficiency in Python, Java, or similar programming languages
• Experience with ML libraries such as TensorFlow, PyTorch, or scikit-learn
• Solid knowledge of machine learning and deep learning algorithms including supervised learning, unsupervised learning, NLP, reinforcement learning, and neural networks
• Experience deploying models on cloud platforms, in containerized environments, or on mobile devices
• Experience with knowledge graphs, embedding techniques, data pipelines, LangChain, and LlamaIndex
• Ability to collaborate in a fast-paced, cross-functional environment
• Preferred: experience with NLP and LLMs
• Preferred: familiarity with MLOps practices and monitoring AI systems
• Preferred: experience with A/B testing, optimization, and model interpretability

Benefits

• Equity options
• Health insurance
• Dental insurance
• Vision insurance
• Flexible work hours
• Remote work options
• Opportunities for growth and professional development
• Collaborative, inclusive, and innovative company culture