{"id":4285995,"url":"https://alion.io/job/empire-state-realty-trust-applied-ai-engineer","title":"Applied AI Engineer","company":{"id":673804,"name":"Empire State Realty Trust","domain":"esrtreit.com","url":"https://alion.io/company/esrtreit","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":135000,"max":145000,"currency":"USD","period":"year","gross":null,"usd_annual":145000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"TypeScript","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Empire","optional":true},{"name":"GCP","optional":true},{"name":"Machine Learning","optional":true},{"name":"OpenAI","optional":true}],"status":"live","first_seen_at":"2026-11-12T21:47:23Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-14T03:32:19Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"POSITION SUMMARY\nThe Applied AI Engineer I supports, maintains, and enhances ESRT’s portfolio of AI-enabled enterprise applications. This early-career role offers recent graduates hands-on experience with large language models, retrieval-augmented generation (RAG), AI agents, and intelligent automation, and helps them develop software engineering skills for production applications.\nThe role works closely with senior engineers and technical leadership to learn the application portfolio and codebase and complete well-defined tasks, such as bug fixes, small enhancements, tests, and documentation. Regular mentorship and code review support skill development and greater responsibility over time.\nRESPONSIBILITIES\nSupport software design, development, tests, and deployment under senior guidance, and help build applications that incorporate large language models and other AI capabilities\nSupport retrieval-augmented generation (RAG) workflows, such as document ingestion, chunking, embeddings, indexing, and retrieval\nHelp develop AI agents, agent tools, and tool-calling workflows, and convert approved prototypes into production-ready features under senior guidance\nImplement small, well-defined features and components under close guidance, with code review by senior engineers\nLearn the architecture and codebase of AI applications, such as model integrations, RAG pipelines, agent workflows, evaluation systems, and observability, through structured orientation, documentation, and work with experienced engineers\nWrite unit and integration tests and help develop automated tests and application monitoring\nLearn and apply safeguards for data privacy, access control, and responsible AI practices\nHelp build APIs, backend services, and data processing workflows that connect AI solutions with internal systems, with support for data ingestion and extract, transform, and load (ETL) processes\nWrite clean, well-documented code, use Git for version control, participate in peer code reviews, and follow the team’s continuous integration and continuous delivery (CI/CD) practices\nMaintain technical documentation, communicate progress and blockers clearly, and collaborate with internal teams, vendors, and business stakeholders in an agile environment\nWHAT SUCCESS LOOKS LIKE\nComplete orientation within the first 3 months, demonstrate familiarity with the team’s tools and development processes, and help resolve small, well-defined bugs and tasks under close supervision\nComplete assigned tasks and small features within the first 6 months, incorporate regular feedback from senior engineers, and contribute reliably to team sprints\nHandle well-scoped tasks with greater independence within the first year, apply foundational AI engineering practices, and take on greater ownership with continued mentorship\nREQUIRED TECHNICAL SKILLS / ABILITIES\nSolid foundation in Python; exposure to at least one additional language (e.g., C#, Java, TypeScript) through coursework or projects\nExposure to large language models, APIs, or other AI services through coursework, internships, or personal projects\nBasic knowledge of software engineering fundamentals: version control (Git), tests, and code review\nFamiliarity with API development or use, databases, and data models\nWillingness to learn about AI application risks, such as prompt injection and sensitive-data exposure, and responsible AI practices\nStrong problem resolution skills, ability to learn new tools and technologies quickly, and clear written and verbal communication\nAbility to collaborate, take direction from senior engineers, and show initiative on assigned tasks\nEDUCATION & EXPERIENCE\nBachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field (recent graduates welcome), or equivalent hands-on experience through internships, bootcamps, or personal/academic projects\nNo prior professional experience required; internship, co-op, or project experience is a plus\nCoursework or project exposure to RAG concepts (embeddings, vector search), Azure OpenAI or comparable AI platforms, cloud platforms (Azure, AWS, or GCP), or traditional machine learning\nPHYSICAL REQUIREMENTS\nProlonged periods of sitting at a desk and working on a computer\nMust be able to lift up to 15 pounds at times\nWHAT YOU CAN EXPECT\nAt ESRT, like our tenants, our employees come from everywhere. We foster a collaborative work environment that captures top talent and cultivates the best ideas. As a Great Place to Work® Certified employer, we are committed to maintaining our positive work culture where employees are engaged and can grow and develop. In addition, ESRT employees embody our Company Culture & Success Factors -\nAdaptable - you are a self-starter who’s able to quickly digest and execute new processes to work both collaboratively and independently\nDynamic - you are solutions-oriented, aim to improve processes and implement efficiency, and offer insightful feedback to improve ESRT\nDependable - you take a strong sense of ownership and accountability over your work\nPassionate - you keep up with industry trends and are excited about the potential to propel the industry forward with a “roll-up-your-sleeves” attitude\nCurious - you consistently look for new ways to work smarter, not just harder\nEthical - you treat others with respect, act with integrity in how you perform your work, and embrace our collaborative culture\n Positive - you possess a service-oriented attitude with excellent follow through\nBENEFITS\nCompetitive base salary and bonus\nHealth/Dental/Vision insurance\nCompany sponsored Life, AD&D, STD (with Salary Continuation), and LTD Insurance\nVoluntary Enhanced LTD Program\nVoluntary Hospital, Accident, and Cancer Programs\n401(k) with 100% match up to 5%\nPaid parental leave\nPre-tax transit accounts\nEmployee Assistance Program for emotional, financial, and legal support\nWELL-BEING\nGenerous paid time off\nFlex remote work time\nFlex Summer Fridays\nEmployee engagement programs\nVolunteer time off\nContinuing education\nComplimentary Empire State Building Observation Deck access\nComplimentary gym membership and other wellness benefits\nEmployee Discount Programs","description_format":"text","description_chars":6173,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Gym membership","Parental leave","Vision insurance"],"hiring_locations":[{"name":"United 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