Software Engineer - 2

Overview

An individual contributor role on JLL's Digital Products team, combining AI implementation with production support for AI-powered applications in commercial real estate.

What you'll do

• Implement and deploy machine learning models and AI solutions based on defined requirements
• Fine-tune and optimize existing models for accuracy, efficiency, and performance
• Develop and maintain data preprocessing pipelines and feature engineering workflows
• Integrate AI services with existing enterprise applications and platforms
• Conduct testing and validation of AI models before production deployment
• Participate in code reviews and follow best practices for version control and deployment
• Provide Level 3 technical support for AI applications and services in production environments
• Troubleshoot and resolve issues related to model performance, data pipelines, API integrations, and deployment infrastructure
• Monitor AI system health, performance metrics, and data quality to ensure optimal operation
• Respond to incident tickets, perform root cause analysis, and implement corrective actions
• Collaborate with data, platform, and AI engineering teams to escalate and solve complex issues
• Maintain documentation of support procedures, troubleshooting guides, and known issues
• Work closely with data scientists, software engineers, and business stakeholders to understand requirements
• Contribute to the enhancement of AI platforms and tools used across the product
• Participate in knowledge sharing sessions and provide technical guidance to junior team members
• Stay updated on emerging AI technologies and recommend improvements to current implementations
• Document technical specifications, implementation details, and operational procedures

What you'll need

• Bachelor's degree in Computer Science, Engineering, Data Science, or related field
• 3-5 years of hands-on experience in AI/ML engineering or related technical roles
• Proven experience in production support or technical troubleshooting roles
• Experience working with ticketing systems and incident management processes
• Demonstrated ability to work in fast-paced environments managing multiple priorities
• Experience with Model Context Protocol (MCP) for AI agent and tool integration
• Hands-on experience with AI orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel, or similar)
• Strong understanding of AI agent architectures, tool calling, and context management
• Experience with natural language processing (NLP), conversational AI, and chatbot development
• Knowledge of retrieval-augmented generation (RAG) patterns and implementation
• Familiarity with vector databases and semantic search technologies
• Understanding of prompt engineering techniques and AI model evaluation methodologies
• Experience integrating AI systems with enterprise data sources and APIs
• Strong analytical and debugging skills with attention to detail
• Ability to diagnose AI system issues including model degradation, latency problems, and integration failures
• Experience with monitoring and logging tools for AI
• Understanding of AI system security, governance, and responsible AI practices
• Proficiency with version control systems (Git) and collaborative development workflows

Details

• Location: On-site, Bengaluru, KA
• Scheduled weekly hours: 40