Overview

About Lepton Software

Responsibilities

• Data Platform Architecture
• Design and lead modern data platform architecture
• Build scalable systems for data ingestion, processing, transformation, and storage
• Enable governed and reliable data access for analytics, ML models, and AI applications
• Data Engineering
• Build and manage large-scale data pipelines and ETL/ELT systems
• Implement Data Lake, Data Warehouse, and Lakehouse architectures
• Ensure scalability, reliability, and performance of data infrastructure
• AI / Machine Learning Engineering
• Build infrastructure for training, deploying, and monitoring ML models
• Develop scalable ML pipelines and feature engineering systems
• Enable AI-powered capabilities within applications
• Generative AI & LLM Systems
• Drive adoption of Generative AI technologies across products
• Design systems using Large Language Models (LLMs)
• Build architectures for:
• LLM integration
• Retrieval-Augmented Generation (RAG)
• Vector search systems
• AI agents and copilots
• Evaluate and integrate GenAI frameworks and tools
• MLOps & AI Infrastructure
• Build infrastructure for:
• Model training
• Model versioning
• Model deployment
• Monitoring and observability
• Experimentation frameworks
• Establish MLOps best practices for production ML systems
• Data Governance & Quality

Qualifications

• ML pipelines and feature stores
• Model training and deployment
• ML model monitoring and lifecycle management
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Vector databases and embedding systems
• AI agents and copilots
• Prompt engineering and LLM orchestration frameworks
• Strong understanding of:
• 5+ years of hands-on experience building production data and AI/ML systems
• Experience designing and implementing large-scale data platforms and ML infrastructure
• Strong understanding of Generative AI and LLM-based applications in production
• Experience building AI-powered enterprise platforms
• Experience integrating GenAI features into production systems
• Experience with large-scale data environments
• Familiarity with geospatial or location intelligence data
• Work on large-scale data and AI platforms
• Build next-generation AI and GenAI capabilities
• Solve complex real-world problems using data and AI