PRINCIPAL ENGINEER - AI & MACHINE LEARNING

About Lepton Software

Lepton Software builds enterprise technology platforms combining location intelligence, large-scale data platforms, and cloud-native systems. Solutions support telecom operators, enterprises, and government organizations with data analytics, geospatial intelligence, and AI-driven systems.

Job Summary

Lepton Software is hiring a Principal Engineer - AI & Machine Learning to lead technical strategy for data platforms, machine learning systems, and AI/GenAI infrastructure. This is an individual contributor role focused on architecture, innovation, and cross-functional collaboration. The role includes defining data architecture, ML engineering platforms, and GenAI infrastructure powering enterprise products.

Key Responsibilities

1. 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

2. 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

3. 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

4. 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

5. 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

6. Data Governance & Quality

• Implement frameworks for:
• Data lineage
• Data quality monitoring
• Access controls
• Compliance and governance

7. AI Adoption Across Products

• Partner with engineering teams to enable:
• Predictive analytics
• Recommendation systems
• Intelligent automation
• AI-driven decision systems
• GenAI-powered product features

Technical Skills & Qualifications

Data Platforms

Strong experience with:

• Data pipelines and distributed data processing
• Data lake and lakehouse architectures
• Streaming and real-time data processing
• Large-scale analytics platforms

Machine Learning Systems

Experience with:

• ML pipelines and feature stores
• Model training and deployment
• ML model monitoring and lifecycle management

Generative AI

Strong understanding of:

• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Vector databases and embedding systems
• AI agents and copilots
• Prompt engineering and LLM orchestration frameworks

Required Qualifications

• 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

Preferred Qualifications

• 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

Why Join Lepton Software

• Work on large-scale data and AI platforms
• Build next-generation AI and GenAI capabilities
• Solve complex real-world problems using data and AI