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Senior Software Engineer (Golang) - AI Products

India, Pune · Job Posted July 04, 2026
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Job Description

We are Citi’s Application, Platform and Engineering group, a start-up with the exciting mission of shaping the direction of travel for the entire bank under the Chief Technology Office. We define the AI and engineering strategy for the bank. We are a team of talented engineers, product managers, and SMEs, taking ambiguous concepts and making them real by engineering cutting-edge products at planetary scale. We are solely focused on the most modern technology and engineering disciplines: generative AI, cloud-native architectures, security, modern app stacks, open-source, and the latest and greatest in the Kubernetes ecosystem. Generative AI is a rapidly evolving space. As a Senior Engineer, you will be the technical anchor and visionary for this domain.

Job Responsibility

  • Engineering at scale: You will build scaled, robust services and platforms centred around generative AI, including developing CLIs, SDKs, runtimes and more
  • Thought Leadership: Drive architectural vision and lead the 0-1 build of foundational, enterprise-grade AI platforms and products
  • System Design: Design and build high-quality, highly reliable, and secure distributed systems with developer and user experience at the center
  • Strategic Direction: Create 'firsts' in the Generative AI space for Citi, acting as a core member of the team that defines the strategic technical direction for the entire bank
  • Scale & Iterate: Continually iterate and scale Generative AI products to handle massive throughput, whilst anticipating and listening to the complex needs of internal customers
  • Cross-Org Influence: Drive technical alignment across multiple engineering organizations, breaking down silos to deliver cohesive AI capabilities

Requirements

  • 9+ Years of Hands-on experience
  • Mastery of Modern Stacks: Expert-level fluency in Golang and Python
  • Cloud-Native & Infrastructure: Deep expertise in the Kubernetes ecosystem, container orchestration, and modern security paradigms
  • Applied GenAI: Understanding of language models, embeddings models and RAG architectures
  • AI Infrastructure: Proven experience designing control planes, sandboxing systems for AI experimentation, and managing large-scale vector stores and search algorithms
  • Data Engineering: Extensive experience in large-scale ETL development and data pipeline architecture
  • Security & Governance: Experience maintaining and/or contributing to bug bounty, responsible disclosure programs, and AI safety/guardrail implementations
  • Startup Agility: Experience leading technical initiatives within fast-paced startup environments or driving startup-like agility within a large enterprise

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