J
JLLvia Indeed
Software Engineer 1
KA, INPosted 4mo ago
NLP / LLMMid Level#python#pytorch#huggingface#langchain#llm#transformers#kubernetes#docker#aws#gcp
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About the Role
JLL supports the Whole You, personally and professionally.
Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology to our clients. We are committed to hiring the best, most talented people in our industry; and we support them through professional growth, flexibility, and personalized benefits to manage life in and outside of work. Whether you’ve got deep experience in commercial real estate, skilled trades, and technology, or you’re looking to apply your relevant experience to a new industry, we empower you to shape a brighter way forward so you can thrive professionally and personally.
Software Engineer 1
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.
If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements below. We’re interested in getting to know you and what you bring to the table!
Personalized benefits that support personal well-being and growth:
JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health.
About JLL –
We’re JLL—a leading professional services and investment management firm specializing in real estate. We have operations in over 80 countries and a workforce of over 102,000 individuals around the world who help real estate owners, occupiers and investors achieve their business ambitions. As a global Fortune 500 company, we also have an inherent responsibility to drive sustainability and corporate social responsibility. That’s why we’re committed to our purpose to shape the future of real estate for a better world. We’re using the most advanced technology to create rewarding opportunities, amazing spaces and sustainable real estate solutions for our clients, our people, and our communities.
Our core values of teamwork, ethics and excellence are also fundamental to everything we do and we’re honored to be recognized with awards for our success by organizations both globally and locally.
Creating a diverse and inclusive culture where we all feel welcomed, valued and empowered to achieve our full potential is important to who we are today and where we’re headed in the future. And we know that unique backgrounds, experiences and perspectives help us think bigger, spark innovation and succeed together.
Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology to our clients. We are committed to hiring the best, most talented people in our industry; and we support them through professional growth, flexibility, and personalized benefits to manage life in and outside of work. Whether you’ve got deep experience in commercial real estate, skilled trades, and technology, or you’re looking to apply your relevant experience to a new industry, we empower you to shape a brighter way forward so you can thrive professionally and personally.
Software Engineer 1
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.
If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements below. We’re interested in getting to know you and what you bring to the table!
Personalized benefits that support personal well-being and growth:
JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health.
About JLL –
We’re JLL—a leading professional services and investment management firm specializing in real estate. We have operations in over 80 countries and a workforce of over 102,000 individuals around the world who help real estate owners, occupiers and investors achieve their business ambitions. As a global Fortune 500 company, we also have an inherent responsibility to drive sustainability and corporate social responsibility. That’s why we’re committed to our purpose to shape the future of real estate for a better world. We’re using the most advanced technology to create rewarding opportunities, amazing spaces and sustainable real estate solutions for our clients, our people, and our communities.
Our core values of teamwork, ethics and excellence are also fundamental to everything we do and we’re honored to be recognized with awards for our success by organizations both globally and locally.
Creating a diverse and inclusive culture where we all feel welcomed, valued and empowered to achieve our full potential is important to who we are today and where we’re headed in the future. And we know that unique backgrounds, experiences and perspectives help us think bigger, spark innovation and succeed together.
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