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PIN AI

AI Engineer

NEW
RemoteFull-timeGlobal
šŸ  Remote
RemoteRemote work position availableActivePosted within the last 30 days

Job Description

[AI-summarized by JobStash]

You will design and implement agent workflows that integrate structured and unstructured data, build scalable backend systems and APIs, and integrate large and small language models for retrieval, embedding, and function-calling use cases. You will fine-tune, deploy, and iterate on models using PyTorch and other ML libraries, experiment with datasets, and improve model performance for personalized AI and intent matching.

Requirements

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

Responsibilities

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

Benefits & Perks

  • ā—Equity options
  • ā—Health insurance
  • ā—Dental insurance
  • ā—Vision insurance
  • ā—Flexible work hours
  • ā—Remote work options

Tech Stack

Llama IndexThe GraphbackendMLOpsreinforcement learningknowledge graphdata pipelineTensorFlowscikit-learnPyTorch
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