
Software Engineer - 2
Jones Lang LaSalle Incorporated1 day ago
Bengaluru, IndiaMid Level
Responsibilities
- Implement and deploy machine learning models and AI solutions based on defined requirements.
- Fine-tune and optimize models for accuracy, efficiency, and performance.
- Develop and maintain data preprocessing pipelines and feature engineering workflows.
- Integrate AI services with enterprise applications, platforms, data sources, and APIs.
- Test and validate AI models before production deployment.
- Provide Level 3 support for production AI applications and services.
- Troubleshoot model performance, data pipeline, API integration, and deployment infrastructure issues.
- Monitor AI system health, performance metrics, and data quality.
- Respond to incident tickets, conduct root cause analysis, and implement corrective actions.
- Document support procedures, technical specifications, troubleshooting guides, and operational processes.
- Collaborate with data scientists, software engineers, AI engineering teams, and business stakeholders.
- Contribute to AI platform enhancements and provide technical guidance to junior team members.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.
- 3–5 years of hands-on experience in AI/ML engineering or related technical roles.
- Production support or technical troubleshooting experience.
- Experience with ticketing systems and incident management processes.
- Experience with Model Context Protocol for AI agent and tool integration.
- Experience with AI orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar.
- Strong understanding of AI agent architectures, tool calling, and context management.
- Experience with NLP, conversational AI, and chatbot development.
- Knowledge of retrieval-augmented generation patterns and implementation.
- Familiarity with vector databases and semantic search technologies.
- Understanding of prompt engineering and AI model evaluation methodologies.
- Experience integrating AI systems with enterprise data sources and APIs.
- Strong analytical, debugging, and problem-solving skills.
- Experience diagnosing model degradation, latency problems, and integration failures.
- Experience with monitoring and logging tools for AI systems.
- Understanding of AI system security, governance, and responsible AI practices.
- Proficiency with Git and collaborative development workflows.
- Ability to manage multiple priorities in a fast-paced environment.
Benefits
- Competitive pay and benefits package through JLL’s Total Rewards Program.
- Entrepreneurial, inclusive work environment with opportunities for learning and technical development.
- On-site role in Bengaluru, Karnataka, with 40 scheduled hours per week.
Tech Stack
Categories
About Jones Lang LaSalle Incorporated
JLL is a global commercial real estate services and investment management firm serving occupiers and investors. It provides property and facilities management, leasing and tenant representation, capital markets, project and development services, workplace strategy, sustainability, and real estate technology and analytics, with a fee- and commission-based advisory, outsourcing, transaction, and management-fee model. Headquartered in Chicago, it is a public company listed on the NYSE (JLL).