{"id":3164676,"url":"https://alion.io/job/jones-lang-lasalle-software-engineer-2-5","title":"Software Engineer - 2","company":{"id":616,"name":"Jones Lang LaSalle","domain":"jll.com","url":"https://alion.io/company/jones-lang-lasalle","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":552,"ghost_share":0.004,"stale_share":0.132,"repost_share":0.038,"time_to_fill_p50_days":7,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"Incident Management","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"NLP","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Semantic Search","optional":false}],"status":"live","first_seen_at":"2026-10-22T00:00:00Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-11-01T11:38:33Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"description":"JLL empowers you to shape a brighter way.\nOur 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.\nAbout the role\n#JLLTechAmbitions\nThe JLL Digital Products team aims to bring successful technology-based products to market in a high-growth environment. The team’s mission is focused on accelerating technology adoption in commercial real estate by bringing creative, innovative and technical solutions to solve large, complex problems for our clients. We are seeking an AI Engineer - 2 to join our growing AI and digital innovation team. This role combines technical AI implementation with production support responsibilities, ensuring our AI solutions operate reliably while contributing to enhancement and optimization initiatives. You'll work with modern AI technologies, collaborate with cross-functional teams, and play a key role in maintaining and improving AI-powered applications that drive business value.\nResponsibilities\nThis is an individual contributor role. As an AI Engineer 2, you will bridge the gap between development and operations, ensuring our AI solutions deliver consistent value while driving continuous improvement. Your dual focus on AI implementation and production support will be critical to maintaining system reliability and advancing our AI capabilities.\nAI Implementation & Development\n· Implement and deploy machine learning models and AI solutions based on defined requirements\n· Fine-tune and optimize existing models for improved accuracy, efficiency, and performance\n· Develop and maintain data preprocessing pipelines and feature engineering workflows\n· Integrate AI services with existing enterprise applications and platforms\n· Conduct testing and validation of AI models before production deployment\n· Participate in code reviews and follow best practices for version control and deployment\nAI Solution Support & Maintenance\n· Provide Level 3 technical support for AI applications and services in production environments\n· Troubleshoot and resolve issues related to model performance, data pipelines, API integrations, and deployment infrastructure\n· Monitor AI system health, performance metrics, and data quality to ensure optimal operation\n· Respond to incident tickets, perform root cause analysis, and implement corrective actions\n· Collaborate with data. Platform, AI engineering team to escalate and solve complex issue\n· Maintain comprehensive documentation of support procedures, troubleshooting guides, and known issues\nCollaboration & Continuous Improvement\n· Work closely with data scientists, software engineers, and business stakeholders to understand requirements\n· Contribute to the enhancement of AI platforms and tools used across the product\n· Participate in knowledge sharing sessions and provide technical guidance to junior team members\n· Stay updated on emerging AI technologies and recommend improvements to current implementations\n· Document technical specifications, implementation details, and operational procedures\nExperience & Education\nBachelor's degree in Computer Science, Engineering, Data Science, or related field\n3-5 years of hands-on experience in AI/ML engineering or related technical roles\nProven experience in production support or technical troubleshooting roles\nExperience working with ticketing systems and incident management processes\nDemonstrated ability to work in fast-paced environments managing multiple priorities\nTechnical Skills & Competencies\nCore AI Skills\nExperience with Model Context Protocol (MCP) for AI agent and tool integration\nHands-on experience with AI orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel, or similar)\nStrong understanding of AI agent architectures, tool calling, and context management\nExperience with natural language processing (NLP), conversational AI, and chatbot development\nKnowledge of retrieval-augmented generation (RAG) patterns and implementation\nFamiliarity with vector databases and semantic search technologies\nUnderstanding of prompt engineering techniques and AI model evaluation methodologies\nExperience integrating AI systems with enterprise data sources and APIs \nSupport & Problem-Solving Skills\n· Strong analytical and debugging skills with attention to detail\n· Ability to diagnose AI system issues including model degradation, latency problems, and integration failures\n· Experience with monitoring and logging tools for AI.\n· Understanding of AI system security, governance, and responsible AI practices\n· Proficiency with version control systems (Git) and collaborative development workflows\nWhat we can do for you:\nAt JLL, we make sure that you become the best version of yourself by helping you realise your full potential in a fully entrepreneurial and inclusive work environment. If you harbour 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.\nLocation:\nOn-site -Bengaluru, KAScheduled Weekly Hours:\n40If 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!\nAt 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.\nJLL Privacy Notice\nJones 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.\nFor more information about how JLL processes your personal data, please view our Candidate Privacy Statement.\nFor additional details please see our career site pages for each country.\nJones 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 . This email is only to request an accommodation. 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