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