AI Engineer
PIN AI is an open, privacy-first Personal AI platform combining on-device models, user-controlled data, trusted execution environments, blockchain verification, and an AI-agent services economy.
Funding history
Investors
About PIN AI
PIN AI develops the Personal Intelligence Network, an open platform for personal AI. Its ecosystem includes privacy-preserving data connectors, on-device personal AI models, private computation using TEEs, blockchain verification, the GOD Model for evaluating personalization, an agent-services marketplace, the PIN AI mobile app, AgentHub, and PIN Claw.
Skills
About the Role
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.
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
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
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
