AI Engineer

Job description

JLL empowers you to shape a brighter way.   Our people at JLL 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.    AI Engineer – P1   JLL Technologies Centre of Expertise   What this job involves:    #JLLTechAmbitions   About the role JLL, an international real estate management company, is seeking an AI Engineer to join our Work Dynamics Data & Insight COE Team. We are seeking candidates that are self-starters who can work in a diverse and fast-paced environment. We are building a GenAI capability on JLL’s real estate data and are looking for a candidate with hands-on experience in Python, LangChain/Llama Index, Azure OpenAI, RAG pipeline development, and prompt engineering to help design and deploy LLM-powered solutions that deliver measurable business value.    Responsibilities   ·        Assist in the design and development of Retrieval-Augmented Generation (RAG) pipelines using LangChain or Llama Index to ground LLM responses in JLL’s proprietary data. ·        Integrate Azure OpenAI and Azure Cognitive Services APIs into data and application workflows under senior engineer guidance. ·        Build and experiment with prompt templates, prompt chains, and few-shot examples to improve LLM accuracy, relevance, and output quality. ·        Develop and maintain vector store integrations (Azure AI Search, FAISS, Chroma DB) for semantic search and document retrieval. ·        Support the development of AI-powered features including intelligent Q&A systems, summarization tools, and data extraction pipelines on JLL data. ·        Assist in fine-tuning and evaluating pre-trained language models and embedding models for domain-specific real estate use cases. ·        Write clean, well-tested Python code for AI modules, APIs (FastAPI/Flask), and integration components. ·        Support deployment of AI models and services to Azure cloud environments. ·        Participate in code reviews, technical discussions, and sprint ceremonies in an Agile delivery environment. ·        Document AI solutions, experiment results, prompt strategies, and model evaluation findings clearly for technical and non-technical audiences. ·        Monitor deployed AI solutions for performance, accuracy, drift; flag issues and contribute to continuous improvement. ·        Stay current with rapidly evolving GenAI frameworks, LLM capabilities, and best practices; apply learnings to active projects. Sounds like you? To apply you need to be:   Experience & Education   0 to 2 years of relevant experience is desired (internship and project experience considered). Having a Bachelors/master’s degree in computer science, Artificial Intelligence, Data Science, Engineering, or a related field from a reputed University Strong computer science fundamentals. Solid understanding of Software Development Life Cycle (SDLC) includes requirements analysis, design, development, testing, and deployment. Strong written and verbal communication skills — able to document AI experiments clearly, explain model behavior to non-technical stakeholders, and collaborate effectively across teams. Self-motivated with a strong willingness to learn and rapidly adapt to the fast-evolving GenAI landscape. Analytical and detail-oriented — able to evaluate model outputs critically and identify quality or accuracy issues.   Technical Skills & Competencies ·        Python — AI/ML engineering, scripting, API development ·        Azure OpenAI / Azure Cognitive Services ·        LangChain or Llama Index — RAG pipelines, prompt chains ·        RAG Architecture — Chunking, Embedding, Vector Retrieval, Reranking ·        Vector Stores — Azure AI Search, FAISS, Chroma DB ·        Prompt Engineering — Zero-shot, Few-shot, Chain-of-Thought, System Prompting ·        ML Fundamentals — Scikit-learn, Model Training, Evaluation, Selection ·        API Development — FastAPI / Flask ·        Version Control — Git, collaborative development workflows 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 harbor passion for learning and adapting new technologies, JLL will continuously provide you with platforms to enrich your technical domains.  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 2021 World’s Most Ethical Companies for the 14th consecutive year.   Apply today!    Location: On-site –Bengaluru, KA Scheduled Weekly Hours: 40 If this job description resonates