{"id":1143753,"url":"https://alion.io/job/jones-lang-lasalle-staff-software-engineer-6","title":"Staff Software Engineer","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,"is_intermediary":false,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":264,"ghost_share":0.004,"stale_share":0,"repost_share":0.027,"time_to_fill_p50_days":7,"computed_at":"2026-09-23T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"structured","locations":["Tel Aviv, Israel"],"countries":["IL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":133000,"max_usd":274000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1612},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Java","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Claude","optional":true},{"name":"LocalAI","optional":true},{"name":"OpenAI Agents SDK","optional":true},{"name":"Tool Use","optional":true}],"status":"live","first_seen_at":"2026-09-23T13:44:38Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-23T17:26:53Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"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.\nStaff Engineer - Falcon Developer Community\n\nJLL | AI Engineering | Full-Time\nTel Aviv, Israel\nAbout the Role\nJLL's central AI Engineering team builds the AI systems that power a $20B global real estate firm. Falcon is the developer-facing layer of that stack - the API our engineering organization builds against, alongside shared RAG services and the MCP toolchain behind JLL GPT.\nThe platform is ahead of its adoption. Capabilities ship centrally, and engineering teams across Tel Aviv, the US, Europe and APAC find out late, adopt unevenly, or rebuild what already exists. This role closes that gap.\nYou will own the Falcon developer community: knowing what is being built, getting it in front of the engineers who need it, and carrying what they tell you back to the platform team. This is an engineering role, not a programs role - your credibility comes from shipping on the platform you advocate for.\nWhat You'll Do\nPrimary - the Falcon developer community\n- Own how Falcon capabilities reach engineers: sessions, internal writing, release communication, and the working relationships that make adoption stick.\n- Stay close to the platform, infrastructure, and developer tooling teams so you know what is landing before it lands.\n- Build and run a network of AI champions inside engineering teams - adoption spreads through peers, not announcements.\n- Feed real usage signal back into platform priorities: what engineers actually adopt, what they work around, and what they ask for that does not exist yet.\n- Contribute hands-on to Falcon. You ship code on the platform, not only about it.\nAs the community work establishes\n- Represent engineering in JLL's AI governance forums - which AI tools we approve, which models we use, and what safe adoption looks like in practice.\n- Own the engineering side of our relationships with frontier AI vendors.\n- Help build JLL's AI and Data Science presence in Israel through local meetups and technical events.\nMust Have\n\nExperience\n- Shipped production software, with recent hands-on work in Python and at least one of Node or Java.\n- Driven AI adoption across an engineering organization you did not manage - tooling, practices, or enablement that people actually took up.\n- Used AI coding tools as a core part of your engineering workflow, not occasionally.\n- Worked with cloud-native infrastructure and modern CI/CD.\n- Experience leading or mentoring engineers, formally or otherwise.\nTraits\n- You write clearly and publish often. Much of this role is written.\n- Comfortable in front of a room and in a pull request, on the same day.\n- Strong written and verbal English - this is cross-team, cross-timezone work.\n- You build influence without authority, and you would rather solve a problem than escalate it.\nGood to Have\n- Hands-on experience with agent frameworks and tool-use patterns (MCP, Claude Agent SDK, or similar).\n- Run a developer community, champions program, or internal technical event series.\n- Exposure to AI governance, security review, or responsible-AI practice in an enterprise.\n- Active in the local AI engineering community.\nWhy This Role\n- JLL. A Fortune 200 company with a $20B+ business and serious AI investment - you will work at enterprise scale, not on prototypes.\n- The team. A tight AI engineering group in Tel Aviv working daily with platform teams in the US and APAC, on a stack genuinely ahead of most enterprise AI.\n- The role. Falcon is the platform JLL's ~1,000 engineers build against, so this work changes how an entire engineering organization adopts AI. Community first, with a clear path into AI governance and frontier-vendor partnership as you establish it - visible from the CTO down.\nLocation:\nOn-site -TEL AVIV, ISRIf 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. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.","description_format":"text","description_chars":6167,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Real Estate","Real Estate Brokerage","Real Estate Appraisal","Facilities Management"],"lifecycle":[{"event":"open","at":"2026-09-23T13:44:38Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":7,"reasons":["conf:0","win:early","comp:brand"],"computed_at":"2026-09-23T17:52:21Z"},"pay":null,"html_url":"https://alion.io/job/jones-lang-lasalle-staff-software-engineer-6","json_url":"https://alion.io/job/jones-lang-lasalle-staff-software-engineer-6.json","meta":{"generated_at":"2026-09-23T17:52:21Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}