Description

Required Qualifications:

• 5+ years of software engineering experience, with a strong focus on AI/ML engineering and backend systems
• Expert-level proficiency in:
  • Python
  • Pydantic (for validation and type-safe development)
• Deep hands-on experience with:
  • LangChain
  • LangGraph
  • Multi-agent / agentic system design
• Strong understanding of Large Language Models (LLMs):
  • Architecture, behavior, strengths, and limitations
  • Advanced prompt and context engineering techniques
• Proven experience building RAG-based systems with vector database integration
  • Elasticsearch preferred
• Experience designing scalable AI workflows for big data processing
• Strong experience building and consuming REST APIs with FastAPI
• Familiarity with LLM fine-tuning and training concepts (conceptual understanding required)
• Demonstrated ability to:
  • Work independently with minimal direction
  • Own systems end-to-end
  • Proactively identify and drive workstreams

Nice-to-Have Skills:

• Frontend experience with:
  • React, HTML, TypeScript
• Background in Data Science or analytics pipelines
• Experience with:
  • LangSmith (LLM tracing, debugging, evaluation)
  • Galileo (LLM observability and data quality monitoring)
• Experience working in enterprise-scale or financial services environments
• Exposure to distributed systems and cloud platforms (AWS/GCP/Azure)

Key Skills

Education

Bachelor’s degree