Description

Responsibilities

• Develop data-driven and AI-enabled applications
• Build scalable Python services and workflows
• Design and optimize data models and database solutions
• Work with large-scale data processing platforms
• Support AI/ML and generative AI initiatives
• Collaborate across product, architecture, and engineering teams

Qualifications

• Required
  • Experience with Python
  • Experience with one or more foundational models (Gemini, OpenAI, Claude, Llama, or local models)
  • Experience with machine learning frameworks such as PyTorch or TensorFlow
  • Experience with AI frameworks including Google's ADK, LangChain, LlamaIndex, or Hugging Face
  • Experience with retrieval augmented generation, including PostgreSQL, vector databases, and advanced retrieval techniques
  • Experience with deployment technologies including Docker and production APIs
  • Knowledge of prompt engineering, workflow design, and generative AI optimization
  • Experience with at least one of the following: FastAPI, asynchronous programming, or orchestration platforms such as LangGraph or multi-agent systems
• Preferred
  • Experience with Java and Spring AI
  • Experience with microservices architecture
  • Knowledge of design patterns
  • Full-stack development experience
  • Experience with React or Angular UI development

Key Skills

Education

Bachelor's degree