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Software Engineer 2

Jones Lang LaSalle

Software Engineer 2

full-timePosted: Jan 24, 2026

Job Description

JLL empowers you to shape a brighter way.  

Our people at JLL and JLL Technologies are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people  and empowering them to  thrive, grow meaningful careers and to find a place where they belong.  Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.   

Software Engineer 2

JLL Technologies

(Bangalore)

 

What this job involves:

About the role

#JLLTechAmbitions

 

Job Description

This position will design and build intelligent AI agent systems, LLM-based applications, and autonomous workflow solutions within the context of our enterprise applications. We are looking for a candidate to provide expertise in Large Language Models, multi-agent architectures, RAG systems, Python development, cloud AI services, and enterprise AI integration. This individual will have broad experience in developing and deploying agentic AI solutions that can autonomously perform complex business tasks.


Responsibilities

  • 2+ years’ hands-on experience working as Sr AI/ML Developer with at least three complete agentic AI system implementations

  • 2+ years’ hands-on experience with cloud AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI)

  • 2+ years hands-on experience with Python AI/ML frameworks (LangChain, LlamaIndex, Transformers, PyTorch)

  • 2+ years’ hands-on experience integrating LLMs with external systems and enterprise applications

  • Experience working with vector databases, knowledge graphs, and RAG pipeline development

  • Advising on best practices for AI agent development and enterprise AI integration processes

  • Experience in deploying AI models and agents in multiple environments (dev, staging, production)

  • Experience managing stakeholder communication regarding AI capabilities, limitations, and project timelines, including managing expectations, foreseeing AI-related risks and reporting them

 

Sounds like you? To apply you need to be:

Experience & Skills 

 

  • Proficient in developing, deploying, and orchestrating multi-agent AI systems

  • Demonstrated proficiency in LLM fine-tuning, prompt engineering, and model optimization

  • Demonstrated proficiency in designing and implementing RAG (Retrieval-Augmented Generation) systems

  • Demonstrated proficiency in understanding and implementing autonomous business workflows and AI-driven processes

  • Demonstrated proficiency in using AI frameworks like LangChain, LlamaIndex, and Hugging Face ecosystem

  • Demonstrated proficiency with Python development and AI/ML libraries

  • Demonstrated proficiency in JavaScript/TypeScript for AI frontend integration

  • Ability to perform AI model performance tuning and optimization in production environments

  • Familiarity with MLOps tools and practices

  • Experience in building conversational AI interfaces, chatbots, and AI-powered applications

  • Experience with API development for AI services and webhook management

  • Experience with cloud AI platforms (Azure OpenAI, AWS Bedrock, Google Cloud AI)

  • Experience in AI agent orchestration, planning algorithms, and decision-making frameworks

  • Creating and maintaining vector databases and knowledge management systems

  • Experience producing AI system architecture and technical design documentation

  • Must have college degree in Computer Science, AI/ML, or equivalent experience

 

 

 

Technical Skills & Competencies

 

  • Python, FastAPI, Flask

  • LangChain, LlamaIndex, Transformers library

  • OpenAI API, Azure OpenAI, Anthropic Claude

  • Vector databases (Pinecone, Weaviate, ChromaDB)

  • Git, Docker, Kubernetes

  • JavaScript/TypeScript for AI integration

  • Postman for API testing

  • SQL/NoSQL databases for AI data management

  • Sound knowledge in cloud AI services and MLOps

  • AI model performance monitoring and optimization

  • Prompt engineering and AI safety practices

 

Uses best practices and knowledge of AI/ML methodologies to improve products and services through intelligent automation. Solves complex business problems by designing novel AI agent solutions that combine existing technologies in innovative ways.

 

What we can do for you:

At JLL, we make sure that you become the best version of yourself by helping you realize your full potential in a fully entrepreneurial and inclusive work environment. If you harbour passion for learning and adapting cutting-edge AI technologies, JLL will continuously provide you with platforms to enrich your technical domains in artificial intelligence and machine learning. We will empower your ambitions through our dedicated Total Rewards Program, competitive pay and benefits package. It's no surprise that JLL has been recognized by the Ethisphere Institute as one of the 2019 World's Most Ethical Companies for the 12th consecutive year.

Location:

On-site –Bengaluru, KA

Scheduled Weekly Hours:

40

If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements.  We’re interested in getting to know you and what you bring to the table!

At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.

JLL Privacy Notice

Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.

For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.

For additional details please see our career site pages for each country.

For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here.

Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities.  If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at HRSCLeaves@jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.

Locations

  • Bengaluru, Karnataka, India

Salary

Estimated Salary Rangemedium confidence

1,200,000 - 3,000,000 INR / yearly

Source: AI Estimation

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Python, FastAPI, Flaskintermediate
  • LangChain, LlamaIndex, Transformers libraryintermediate
  • OpenAI API, Azure OpenAI, Anthropic Claudeintermediate
  • Vector databases (Pinecone, Weaviate, ChromaDB)intermediate
  • Git, Docker, Kubernetesintermediate
  • JavaScript/TypeScript for AI integrationintermediate
  • Postman for API testingintermediate
  • SQL/NoSQL databases for AI data managementintermediate
  • Proficient in developing, deploying, and orchestrating multi-agent AI systemsintermediate
  • Demonstrated proficiency in LLM fine-tuning, prompt engineering, and model optimizationintermediate
  • Demonstrated proficiency in designing and implementing RAG (Retrieval-Augmented Generation) systemsintermediate
  • Demonstrated proficiency in understanding and implementing autonomous business workflows and AI-driven processesintermediate
  • Demonstrated proficiency in using AI frameworks like LangChain, LlamaIndex, and Hugging Face ecosystemintermediate
  • Demonstrated proficiency with Python development and AI/ML librariesintermediate
  • Demonstrated proficiency in JavaScript/TypeScript for AI frontend integrationintermediate
  • Ability to perform AI model performance tuning and optimization in production environmentsintermediate
  • Familiarity with MLOps tools and practicesintermediate
  • Experience in building conversational AI interfaces, chatbots, and AI-powered applicationsintermediate
  • Experience with API development for AI services and webhook managementintermediate
  • Experience with cloud AI platforms (Azure OpenAI, AWS Bedrock, Google Cloud AI)intermediate
  • Experience in AI agent orchestration, planning algorithms, and decision-making frameworksintermediate
  • Creating and maintaining vector databases and knowledge management systemsintermediate
  • Experience producing AI system architecture and technical design documentationintermediate
  • Sound knowledge in cloud AI services and MLOpsintermediate
  • AI model performance monitoring and optimizationintermediate
  • Prompt engineering and AI safety practicesintermediate

Required Qualifications

  • 2+ years’ hands-on experience working as Sr AI/ML Developer with at least three complete agentic AI system implementations (experience)
  • 2+ years’ hands-on experience with cloud AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI) (experience)
  • 2+ years hands-on experience with Python AI/ML frameworks (LangChain, LlamaIndex, Transformers, PyTorch) (experience)
  • 2+ years’ hands-on experience integrating LLMs with external systems and enterprise applications (experience)
  • Experience working with vector databases, knowledge graphs, and RAG pipeline development (experience)
  • Experience in deploying AI models and agents in multiple environments (dev, staging, production) (experience)
  • Must have college degree in Computer Science, AI/ML, or equivalent experience (experience)

Responsibilities

  • Advising on best practices for AI agent development and enterprise AI integration processes
  • Experience managing stakeholder communication regarding AI capabilities, limitations, and project timelines, including managing expectations, foreseeing AI-related risks and reporting them
  • Design and build intelligent AI agent systems, LLM-based applications, and autonomous workflow solutions
  • Uses best practices and knowledge of AI/ML methodologies to improve products and services through intelligent automation
  • Solves complex business problems

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Jones Lang LaSalle logo

Software Engineer 2

Jones Lang LaSalle

Software Engineer 2

full-timePosted: Jan 24, 2026

Job Description

JLL empowers you to shape a brighter way.  

Our people at JLL and JLL Technologies are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people  and empowering them to  thrive, grow meaningful careers and to find a place where they belong.  Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.   

Software Engineer 2

JLL Technologies

(Bangalore)

 

What this job involves:

About the role

#JLLTechAmbitions

 

Job Description

This position will design and build intelligent AI agent systems, LLM-based applications, and autonomous workflow solutions within the context of our enterprise applications. We are looking for a candidate to provide expertise in Large Language Models, multi-agent architectures, RAG systems, Python development, cloud AI services, and enterprise AI integration. This individual will have broad experience in developing and deploying agentic AI solutions that can autonomously perform complex business tasks.


Responsibilities

  • 2+ years’ hands-on experience working as Sr AI/ML Developer with at least three complete agentic AI system implementations

  • 2+ years’ hands-on experience with cloud AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI)

  • 2+ years hands-on experience with Python AI/ML frameworks (LangChain, LlamaIndex, Transformers, PyTorch)

  • 2+ years’ hands-on experience integrating LLMs with external systems and enterprise applications

  • Experience working with vector databases, knowledge graphs, and RAG pipeline development

  • Advising on best practices for AI agent development and enterprise AI integration processes

  • Experience in deploying AI models and agents in multiple environments (dev, staging, production)

  • Experience managing stakeholder communication regarding AI capabilities, limitations, and project timelines, including managing expectations, foreseeing AI-related risks and reporting them

 

Sounds like you? To apply you need to be:

Experience & Skills 

 

  • Proficient in developing, deploying, and orchestrating multi-agent AI systems

  • Demonstrated proficiency in LLM fine-tuning, prompt engineering, and model optimization

  • Demonstrated proficiency in designing and implementing RAG (Retrieval-Augmented Generation) systems

  • Demonstrated proficiency in understanding and implementing autonomous business workflows and AI-driven processes

  • Demonstrated proficiency in using AI frameworks like LangChain, LlamaIndex, and Hugging Face ecosystem

  • Demonstrated proficiency with Python development and AI/ML libraries

  • Demonstrated proficiency in JavaScript/TypeScript for AI frontend integration

  • Ability to perform AI model performance tuning and optimization in production environments

  • Familiarity with MLOps tools and practices

  • Experience in building conversational AI interfaces, chatbots, and AI-powered applications

  • Experience with API development for AI services and webhook management

  • Experience with cloud AI platforms (Azure OpenAI, AWS Bedrock, Google Cloud AI)

  • Experience in AI agent orchestration, planning algorithms, and decision-making frameworks

  • Creating and maintaining vector databases and knowledge management systems

  • Experience producing AI system architecture and technical design documentation

  • Must have college degree in Computer Science, AI/ML, or equivalent experience

 

 

 

Technical Skills & Competencies

 

  • Python, FastAPI, Flask

  • LangChain, LlamaIndex, Transformers library

  • OpenAI API, Azure OpenAI, Anthropic Claude

  • Vector databases (Pinecone, Weaviate, ChromaDB)

  • Git, Docker, Kubernetes

  • JavaScript/TypeScript for AI integration

  • Postman for API testing

  • SQL/NoSQL databases for AI data management

  • Sound knowledge in cloud AI services and MLOps

  • AI model performance monitoring and optimization

  • Prompt engineering and AI safety practices

 

Uses best practices and knowledge of AI/ML methodologies to improve products and services through intelligent automation. Solves complex business problems by designing novel AI agent solutions that combine existing technologies in innovative ways.

 

What we can do for you:

At JLL, we make sure that you become the best version of yourself by helping you realize your full potential in a fully entrepreneurial and inclusive work environment. If you harbour passion for learning and adapting cutting-edge AI technologies, JLL will continuously provide you with platforms to enrich your technical domains in artificial intelligence and machine learning. We will empower your ambitions through our dedicated Total Rewards Program, competitive pay and benefits package. It's no surprise that JLL has been recognized by the Ethisphere Institute as one of the 2019 World's Most Ethical Companies for the 12th consecutive year.

Location:

On-site –Bengaluru, KA

Scheduled Weekly Hours:

40

If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements.  We’re interested in getting to know you and what you bring to the table!

At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.

JLL Privacy Notice

Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.

For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.

For additional details please see our career site pages for each country.

For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here.

Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities.  If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at HRSCLeaves@jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.

Locations

  • Bengaluru, Karnataka, India

Salary

Estimated Salary Rangemedium confidence

1,200,000 - 3,000,000 INR / yearly

Source: AI Estimation

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Python, FastAPI, Flaskintermediate
  • LangChain, LlamaIndex, Transformers libraryintermediate
  • OpenAI API, Azure OpenAI, Anthropic Claudeintermediate
  • Vector databases (Pinecone, Weaviate, ChromaDB)intermediate
  • Git, Docker, Kubernetesintermediate
  • JavaScript/TypeScript for AI integrationintermediate
  • Postman for API testingintermediate
  • SQL/NoSQL databases for AI data managementintermediate
  • Proficient in developing, deploying, and orchestrating multi-agent AI systemsintermediate
  • Demonstrated proficiency in LLM fine-tuning, prompt engineering, and model optimizationintermediate
  • Demonstrated proficiency in designing and implementing RAG (Retrieval-Augmented Generation) systemsintermediate
  • Demonstrated proficiency in understanding and implementing autonomous business workflows and AI-driven processesintermediate
  • Demonstrated proficiency in using AI frameworks like LangChain, LlamaIndex, and Hugging Face ecosystemintermediate
  • Demonstrated proficiency with Python development and AI/ML librariesintermediate
  • Demonstrated proficiency in JavaScript/TypeScript for AI frontend integrationintermediate
  • Ability to perform AI model performance tuning and optimization in production environmentsintermediate
  • Familiarity with MLOps tools and practicesintermediate
  • Experience in building conversational AI interfaces, chatbots, and AI-powered applicationsintermediate
  • Experience with API development for AI services and webhook managementintermediate
  • Experience with cloud AI platforms (Azure OpenAI, AWS Bedrock, Google Cloud AI)intermediate
  • Experience in AI agent orchestration, planning algorithms, and decision-making frameworksintermediate
  • Creating and maintaining vector databases and knowledge management systemsintermediate
  • Experience producing AI system architecture and technical design documentationintermediate
  • Sound knowledge in cloud AI services and MLOpsintermediate
  • AI model performance monitoring and optimizationintermediate
  • Prompt engineering and AI safety practicesintermediate

Required Qualifications

  • 2+ years’ hands-on experience working as Sr AI/ML Developer with at least three complete agentic AI system implementations (experience)
  • 2+ years’ hands-on experience with cloud AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI) (experience)
  • 2+ years hands-on experience with Python AI/ML frameworks (LangChain, LlamaIndex, Transformers, PyTorch) (experience)
  • 2+ years’ hands-on experience integrating LLMs with external systems and enterprise applications (experience)
  • Experience working with vector databases, knowledge graphs, and RAG pipeline development (experience)
  • Experience in deploying AI models and agents in multiple environments (dev, staging, production) (experience)
  • Must have college degree in Computer Science, AI/ML, or equivalent experience (experience)

Responsibilities

  • Advising on best practices for AI agent development and enterprise AI integration processes
  • Experience managing stakeholder communication regarding AI capabilities, limitations, and project timelines, including managing expectations, foreseeing AI-related risks and reporting them
  • Design and build intelligent AI agent systems, LLM-based applications, and autonomous workflow solutions
  • Uses best practices and knowledge of AI/ML methodologies to improve products and services through intelligent automation
  • Solves complex business problems

Target Your Resume for "Software Engineer 2" , Jones Lang LaSalle

Get personalized recommendations to optimize your resume specifically for Software Engineer 2. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Software Engineer 2" , Jones Lang LaSalle

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

REQ478114jllcareers

Answer 10 quick questions to check your fit for Software Engineer 2 @ Jones Lang LaSalle.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.