Software Engineer III - Python, AI/ML, Gen AI, LLM

Actively Reviewing the Applications

JPMorganChase

India, Karnataka, Bengaluru Full-Time On-site

Posted 3 weeks ago • Apply by June 2, 2026

Job Description

Job Description

We have an exciting and rewarding opportunity for you to take your AI/ML career to the next level. Join us to make a significant impact on risk technology solutions at JPMorgan Chase.

Job Summary

As an Applied AI/ML Software Engineer III at JPMorgan Chase within the Risk Technology team, you research, develop, and implement innovative Generative AI solutions that transform our risk assessment capabilities. You turn cutting-edge AI research into practical applications that enhance operational efficiencies and integrate with our risk calculation frameworks, supporting the firm's business objectives.

Job Responsibilities

Execute research and experimentation with Large Language Models and Generative AI technologies to solve complex risk technology challenges
Create secure and high-quality prototypes and proof-of-concepts for AI applications in risk management
Produce scalable and production-ready AI systems that integrate with existing risk calculation frameworks
Gather, analyze, and synthesize insights from diverse data sets to improve AI model performance and risk assessment capabilities
Proactively identify opportunities for AI implementation and recommend optimal solutions for specific use cases
Contribute to AI/ML communities of practice and events that explore new and emerging technologies

Required Qualifications, Capabilities, And Skills

Formal training or certification on software engineering concepts and 3+ years applied experience with focus on AI/ML applications
Hands-on practical experience with Large Language Models (e.g., GPT, BERT)
Strong understanding of Generative AI concepts and applications
Proficient in Python programming and experience with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face)
Familiarity with cloud-based AI services such as AWS, Azure, or GCP
Overall knowledge of the Software Development Life Cycle and software engineering best practices including Git, CI/CD, and testing
Strong communication skills to explain complex technical concepts

Preferred Qualifications, Capabilities, And Skills