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Full Stack Engineer (AI & Agentic AI Systems) - Vice President

https://www.citi.com/ Logo

Citi

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Location:
India , Pune ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

The Full Stack Engineer (AI & Agentic AI Systems) is a strategic professional who will play a pivotal role in architecting and delivering next‑generation intelligent applications that blend advanced software engineering, autonomous agents, and robust end‑to‑end engineering. In this role, you will work across the entire technology stack— REACT based front ends, designing scalable backend services (JAVA/Python/APIs), intuitive user experiences, and AI‑driven workflows that reason, plan, and act with minimal human intervention. You’ll collaborate with cross‑functional teams to transform complex business challenges into innovative, production‑ready AI systems that push the boundaries of automation, intelligence, and modern software engineering.

Job Responsibility:

  • Design and deliver end‑to‑end solutions spanning architecture, system design, low‑level design, and high‑quality coding across modern full‑stack environments
  • Engineer AI‑powered features leveraging Google Gemini LLM, Vertex AI, Google ADK, vector databases, A2A protocol, RAG pipelines, MCP, (Model Context Protocol) context engineering, and advanced prompt engineering techniques
  • Build responsive, modular UI applications using React, integrating complex AI-driven workflows and real‑time interactions
  • Develop scalable, high‑performance backend services in Java / Python, implementing resilient APIs, event‑driven patterns, and microservices architectures
  • Implement secure, well‑structured REST and GraphQL APIs, ensuring reliability, versioning discipline, and clean integration patterns across platforms
  • Optimize system performance and scalability, applying profiling, load‑testing insights, caching strategies, and distributed system tuning
  • Drive robust CI/CD practices, integrating automated testing, code quality gates, containerization, and cloud‑native deployment pipelines
  • Partner with QE to build and maintain automated test suites (UI, API, integration, and performance), improving release quality and reducing regression risk
  • Identify, diagnose, and remediate performance bottlenecks, penetration testing vulnerabilities, and production issues with precision and root‑cause clarity
  • Collaborate cross‑functionally with AI scientists, architects, and product teams to translate business challenges into production‑ready, intelligent agentic systems

Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, with strong fundamentals in algorithms, distributed systems, and software architecture
  • 6–10+ years of full‑stack engineering experience with deep proficiency in React, Java, modern API frameworks, and cloud‑native development
  • Hands-on experience building AI‑integrated applications using Google Gemini LLM, Vertex AI, ADK, vector databases, RAG pipelines, MCP, and advanced prompt/context engineering
  • Strong DevOps and automation skills, including CI/CD pipelines, containerization (Docker/Kubernetes), and automated testing across UI, API, and integration layers
  • Proven ability to design scalable, secure, high‑performance systems, diagnose performance bottlenecks, and address penetration testing findings in production environments

Additional Information:

Job Posted:
March 22, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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