{"id":1135768,"url":"https://alion.io/job/citi-gen-ai-developer-2","title":"GEN AI Developer","company":{"id":7841,"name":"Citi","domain":"citi.com","url":"https://alion.io/company/citi","size_band":"5000+","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":244,"ghost_share":0,"stale_share":0,"repost_share":0.074,"time_to_fill_p50_days":11,"computed_at":"2026-09-23T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":39000,"max_usd":99000,"period":"year","method":"role_seniority_country_cell","sample_n":10},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Hugging Face","optional":false},{"name":"LoRA","optional":false},{"name":"PEFT","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"PyTorch","optional":false},{"name":"Quantization","optional":false},{"name":"RAG","optional":false},{"name":"TensorFlow","optional":false},{"name":"AI Agents","optional":true},{"name":"JavaScript","optional":true},{"name":"Node JS","optional":true},{"name":"Python","optional":true},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-09-23T07:50:36Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-23T10:50:38Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Requisition: Gen AI Developer (5 to 8 years)\nThe Spec Analytics Intmd Analyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the sub function/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams.\nTTS Analytics C11 \nWhat do we do?\nThe TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience and Sales functions within the global Treasury & Trade Services business. The team works on business problems focused on enhancing client experience, driving acquisitions, cross-sell and revenue growth.\nThe team extracts relevant insights, identifies business opportunities, converts business problems into analytical frameworks, uses big data tools and AI/ML techniques to drive data driven business outcomes in collaboration with business and product partners.\nThe team works on building and operating Generative AI and deep learning solutions - Design, implement, and scale production-grade AI applications end-to-end-from data ingestion and model services to user-facing interfaces, observability, and secure deployments.\nROLE DESCRIPTION\nThe role will be Spec Analytics Intmd Analyst (C11) in the TTS Analytics team\nThe role will report to the AVP or VP leading the team.\nThe role will involve working on\nMultiple analyses through the year on business problems across the client experience for the TTS business\nThis will involve leveraging multiple analytical approaches, tools and techniques, working on multiple data sources (unstructured data like emails, call transcripts, etc., client profile & engagement data, transactions & revenue data, digital data, etc.) to provide data driven insights to business partners and functional stakeholders\nAs a key contributor to ideation on analytical projects to tackle strategic business priorities\nThe role will require endless curiosity, as ambiguity and open-ended questions are a core part of the team’s work\nOwn end-to-end delivery of AI-powered products: requirements, design, implementation, testing, deployment, and support.\nApply GenAI techniques (prompt engineering, RAG, fine-tuning) and deep learning methods to solve practical user and business problems.\nCollaborate with product, business, operations and data teams to prioritize and translate ambiguous problems into delivered capabilities.\nCreate clear technical documentation, architecture diagrams, and runbooks; participate in design and code reviews.\nAppropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.\nAbility to build partnerships with cross-function leaders.\nQUALIFICATIONS\nExperience:\n5-8 years of relevant experience in Data Science (ML and DL) combined with solid experience in Gen AI solution (2 years).\nDemonstrated track record shipping AI-enabled products to production in an agile environment.\nMust have substantial experience in:\nIdentifying and resolving business problems (around client experience and operations) preferably in the financial services industry\nLeveraging and developing analytical tools and methods to identify patterns, trends and outliers in data\nHands-on with LLMs and transformer architectures; experience with prompt engineering and system prompt design.\nWorking with data from different sources, with different complexities, both structured and unstructured\nRetrieval-Augmented Generation (RAG): embeddings, vector indexes, chunking strategies, and retrieval evaluation.\nModel customization: fine-tuning/LoRA/PEFT; data curation, labeling, and experiment tracking for reproducibility.\nFrameworks and tooling: PyTorch/TensorFlow, Hugging Face ecosystem, and popular orchestration libraries.\nModel serving/inference optimization: batching, token streaming, quantization, caching, and concurrency controls.\nQuality & safety: automatic evaluation, red-teaming, toxicity filters, PII handling, prompt injection defenses.\nMLOps for GenAI: feature pipelines, model registries, rollout strategies (A/B, shadow), monitoring for drift and hallucinations.\nGood to have:\nExperience within design and development of API-first services in Python and Node.js that expose model inference, feature computation, and analytics.\nFamiliarity with graph databases and search infrastructure.\nAgentic AI solution development experience.\nEducation:\nMasters (preferred) in Computer Science Engineering\nThis job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.\n------------------------------------------------------\nJob Family Group:\nDecision Management------------------------------------------------------\nJob Family:\nSpecialized Analytics (Data Science/Computational Statistics)------------------------------------------------------\nTime Type:\nFull time------------------------------------------------------\nMost Relevant Skills\nPlease see the requirements listed above.------------------------------------------------------\nOther Relevant Skills\nFor complementary skills, please see above and/or contact the recruiter.------------------------------------------------------\nCiti is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.\nIf you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.\nView Citi’s EEO Policy Statement and the Know Your Rights poster.","description_format":"text","description_chars":6881,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Wealth Management","Lending","Payments","Capital Markets"],"lifecycle":[{"event":"open","at":"2026-09-23T07:50:36Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":11,"reasons":["conf:3","win:early","comp:brand"],"computed_at":"2026-09-23T13:53:30Z"},"pay":null,"html_url":"https://alion.io/job/citi-gen-ai-developer-2","json_url":"https://alion.io/job/citi-gen-ai-developer-2.json","meta":{"generated_at":"2026-09-23T13:53:30Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}