atc
AI Engineer (Python, Machine Learning & Generative AI)
New York, New York
Sponsorship not specifiedDetected 13 days ago
PythonFastAPIFlaskGitSQLNoSQLVector DatabasesAWSGCPAzureCloud PlatformsDockerKubernetesCI/CDRESTMachine LearningDeep LearningTensorFlowPyTorchData ScienceNLPComputer VisionLLMsRAG
About the role
- Job Title: AI Engineer (Python, Machine Learning & Generative AI)
- Experience developing REST APIs using FastAPI or Flask.
Responsibilities
- Build LLM-powered applications using LangChain and LangGraph.
- Design and implement Retrieval-Augmented Generation (RAG) pipelines with vector databases.
- Develop AI agents and conversational AI applications.
- Build REST APIs using FastAPI or Flask to integrate AI services.
- Collaborate with cross-functional teams to deliver AI-driven business solutions.
- Troubleshoot, optimize, and maintain AI applications in production.
Requirements
- Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Hands-on experience with TensorFlow, PyTorch, or Scikit-learn.
- Experience with LangChain and LangGraph.
- Experience with vector databases such as Pinecone, ChromaDB, FAISS, or Milvus.
- Knowledge of SQL and NoSQL databases.
- Experience with Git, Docker, and CI/CD pipelines.
- Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform).
Nice to have
- Experience with OpenAI, Anthropic, or open-source LLMs.
- Knowledge of prompt engineering, function calling, and AI agent frameworks.
- Familiarity with Hugging Face Transformers and LlamaIndex.
- Experience with Kubernetes and MLOps tools such as MLflow or Kubeflow.
Benefits
- Develop and deploy AI and Machine Learning solutions using Python.
- Train, evaluate, and optimize machine learning and deep learning models.
This listing is sourced directly from atc's careers page and normalized into a canonical job model.