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Lepton Software

PRINCIPAL ENGINEER - AI & MACHINE LEARNING

Gurgaon, India

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hirly's read of this role

Role family
Engineering
Seniority
Lead / management
Country
IN
Work mode
On-site / unstated
First seen by hirly
23 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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

Original posting on Lepton Software's site ↗

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