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Full Stack AI Engineer
What this job involves:
JLL REMS (Real Estate Management Services) is building next-generation AI-powered solutions to transform how our clients interact with and derive insights from property management data. We are seeking a talented Full Stack AI Engineer who combines deep AI expertise with full-stack development capabilities to join our team.
As a Full Stack AI Engineer, you will design, develop, and deploy end-to-end GenAI solutions that enable users to retrieve knowledge, analyze information through intuitive interfaces. You will be responsible for building intelligent backend systems that translate natural language into actionable queries, as well as creating user-facing interfaces that deliver AI-powered insights, filtered dashboards, and summaries in multiple languages.
Key Responsibilities
AI development:
- Research and develop state-of-the-art GenAI-based solutions for property management applications.
- Build and optimize RAG (Retrieval-Augmented Generation) pipelines using LLMs to efficiently utilize property management data from data warehouses and semantic indexes.
- Implement AI based techniques to extract valuable insights and patterns from data, enabling actionable recommendations and predictions.
- Design and develop agentic AI systems and implement Model Context Protocols (MCPs) for enhanced AI capabilities.
- Develop and fine-tune GenAI wirkflows for complex decision-making scenarios.
Full Stack Development:
- Develop and implement robust web applications using React, Python, Django, and the Django REST Framework.
- Design and develop efficient, scalable backend applications and APIs that integrate seamlessly with AI models.
- Create responsive and intuitive front-end interfaces using React / NextJS, HTML5, CSS3, and JavaScript.
- Implement secure coding practices and adhere to industry best practices across the full stack.
Cloud Infrastructure & DevOps:
- Design and implement Infrastructure as Code (IaC) using Terraform for scalable cloud deployments.
- Deploy and manage AI services on cloud platforms, including Azure Search Service and OpenSearch.
- Build and maintain CI/CD pipelines using GitHub Actions and other automation tools.
- Ensure scalability, performance, and reliability through regular testing, debugging, and optimization.
- Implement containerization using Docker and orchestration for microservices architectures.
Collaboration & Delivery:
- Collaborate with cross-functional teams, including BI engineers, software engineers, and business stakeholders, to gather requirements and define project scope.
- Translate business requirements into technical specifications and architectural designs.
- Provide technical guidance and support to teams in integrating and utilizing AI-powered solutions effectively.
- Conduct code reviews and address bugs, performance issues, and technical debt.
- Work effectively in an Agile/Scrum environment to ensure timely and successful delivery.
Continuous Innovation:
- Keep up to date with the latest advancements in GenAI technologies, LLMs, and agentic AI frameworks.
- Continuously improve software development processes and practices.
- Stay current with emerging cloud technologies, DevOps practices, and full-stack development trends.
To apply you need to be:
Experience & Education
Required:
- Bachelor's degree or higher in Computer Science, Data Science, AI/ML, Engineering, or a related field.
- 3+ years of proven experience as an AI Engineer, Full Stack Developer, or similar role.
- Strong proficiency in Python and relevant AI libraries and frameworks (LangChain, Langgraph etc.).
- Demonstrated experience developing GenAI-based solutions and tools using LLMs.
- In-depth knowledge of Natural Language Processing (NLP) techniques, including language models, RAG pipelines, and text generation algorithms.
- Strong proficiency in full-stack development with React / NextJS, Python, Django, and Django REST Framework.
- Experience with front-end technologies: HTML5, CSS3, JavaScript, and modern React patterns.
- Strong knowledge of SQL and database technologies (PostgreSQL, MySQL).
- Proven experience with Infrastructure as Code (IaC) using Terraform.
- Hands-on experience building and maintaining CI/CD pipelines (GitHub Actions, Azure DevOps, etc.).
- Experience with cloud computing platforms (AWS or Azure) and their AI services.
- Familiarity with Azure Search Service and/or OpenSearch for semantic search implementations.
- Experience with containerization technologies (Docker) and distributed computing architectures.
- Experience working with large-scale datasets and implementing data processing pipelines.
- Strong understanding of software development principles, design patterns, and best practices.
- Understanding of Agile/Scrum methodologies and software development lifecycle.
Preferred:
- Experience developing agentic AI systems and implementing Model Context Protocols (MCPs).
- Familiarity with vector databases and semantic indexing technologies.
- Experience with API gateway design and microservices architectures.
- Knowledge of security best practices for AI systems and data privacy compliance.
- Experience with monitoring, observability, and performance optimization tools like DataDog.
Skills & Competencies
- Ability to work effectively in a fast-paced, dynamic, and innovative environment.
- Excellent problem-solving abilities and attention to detail.
- Self-starter with the ability to quickly learn, adapt, and conduct POCs as the GenAI landscape evolves.
- Ability to translate