{"id":3951936,"url":"https://alion.io/job/citi-apps-dev-tech-lead-analyst-c13-pune-3","title":"Apps Dev Tech Lead Analyst - C13 - PUNE","company":{"id":7841,"name":"Citi","domain":"citi.com","url":"https://alion.io/company/citi","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":97,"open_postings":578,"ghost_share":0.01,"stale_share":0.265,"repost_share":0.066,"time_to_fill_p50_days":9,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"Chain-of-Thought","optional":false},{"name":"ChatGPT","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"CrewAI","optional":false},{"name":"Django","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"Gemini","optional":false},{"name":"Git","optional":false},{"name":"GitLab","optional":false},{"name":"gRPC","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Llama","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"n8n","optional":false},{"name":"NumPy","optional":false},{"name":"OpenAI","optional":false},{"name":"Pandas","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"Java","optional":true}],"status":"live","first_seen_at":"2026-11-09T04:23:51Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-10T06:48:56Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"The Vice President (C13) - GenAI Sr Enginner.\nCiti's Banking Technology organization is seeking a talented and hands-on Senior AI Engineer to contribute to the design, development, and deployment of cutting-edge Generative AI and Agentic AI solutions for the banking sector. In this role, you will be responsible for implementing robust, scalable agentic AI workflows, integrating state-of-the-art LLMs, and building resilient full-stack applications that translate business requirements into production-grade systems.\nThe ideal candidate is an experienced, hands-on software engineer with strong technical depth in AI/ML principles, multi-agent frameworks, API design, and modern software engineering practices.\nKey Responsibilities\nHands-on AI & Agent Development: Design, implement, test, and deploy scalable generative AI applications and agentic workflows for critical banking use cases, ensuring high performance, security, and reliability. \n\n Full-Stack Implementation: Build end-to-end applications integrating front-end interfaces, backend services, and state-of-the-art LLM tools, APIs, and Model Context Protocol (MCP) integrations.\n Rapid Prototyping & MVP Delivery: Champion an agile, MVP-first mindset to rapidly develop Proof of Concepts (POCs), run A/B experiments, iterate based on feedback, and accelerate time-to-value.\nEvaluation & Observability: Implement evaluation metrics, guardrails, automated testing, and telemetry to benchmark agent behavior, response accuracy, and operational performance.\nCollaboration & Engineering Standards: Collaborate closely with Lead Engineers, Data Scientists, Product Managers, and cross-functional teams; uphold best practices in code quality, automated testing, CI/CD, and peer reviews.\nContinuous Learning & Innovation: Stay abreast of rapid advancements in LLMs, multi-agent orchestration frameworks, prompt engineering, and autonomous systems, applying relevant patterns to banking solutions.\nQualifications & Technical Skills\nAI & Agentic Capabilities\n LLMs & Prompt Engineering: Solid working knowledge of enterprise LLMs (e.g., OpenAI/ChatGPT, Claude, Gemini, Llama) and prompt engineering techniques (chain-of-thought, few-shot prompting, RAG). Must have in depth technical and hands on experience on RAG and Text2SQL usecases, Agentic Platform development, LLM parameter tuning and performance optimizations.\n Agentic Frameworks: Hands-on experience with multi-agent orchestration frameworks (e.g., LangGraph, LangChain, AutoGen, CrewAI, or N8N).\n MCP & Tool Integration: Practical experience implementing and integrating Model Context Protocol (MCP) or custom tool-calling interfaces into agentic systems.\n Machine Learning Foundations: Working knowledge of ML frameworks/libraries (e.g., PyTorch, TensorFlow, Scikit-Learn, Pandas, NumPy).\nArchitectue:\nBackend Proficiency: Strong hands-on proficiency in Python (e.g., FastAPI, Flask, Django) \n\n Databases & Data Storage: Experience working with relational and NoSQL databases (e.g., PostgreSQL, Oracle, MongoDB) as well as vector databases.\nAPI & Architecture: Solid understanding of RESTful/gRPC API design, microservices, event-driven architectures, and distributed systems.\n DevOps & Cloud Native: Hands-on experience with containerization and orchestration tools (Docker, Kubernetes) and CI/CD pipelines (Git, GitLab/Jenkins).\nSoft Skills & Industry Background\nStrong analytical and problem-solving skills with a pragmatic approach to technical challenges.\nGood communication and collaboration skills with experience operating in agile engineering teams.\nExperience in banking, financial services, or other highly regulated enterprise environments is a plus.\nExperience & Education\n Education: Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or related technical field (or equivalent practical experience).\nSoftware Engineering Experience: 7+ years of progressive software development experience with strong hands-on coding and delivery in production environments.\nAI/ML Specialization: 2+ years of dedicated experience developing and deploying AI/ML, Generative AI, LLM-powered applications, or agentic workflows.\nProven track record of delivering resilient, high-quality features in an enterprise or production setting.\n------------------------------------------------------\nJob Family Group:\nTechnology------------------------------------------------------\nJob Family:\nApplications Development------------------------------------------------------\nTime Type:\nFull time------------------------------------------------------\nMost Relevant Skills\nPlease see the requirements listed above.------------------------------------------------------\nOther Relevant Skills\nJava (Programming Language).------------------------------------------------------\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":5326,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cards & Card Issuing","Wealth Management & Financial Advisors","Payment Processing & Gateways","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-11-09T04:23:51Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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