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 contemporary 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
📌 PRINCIPAL ENGINEER - AI & MACHINE LEARNING (India)
🏢 LEPTON SOFTWARE
📍 India
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