Gen AI Tech Engineer - AVP

Citigroup

Pune, Maharashtra, India
**
Python and java programming fluency
Experience with llms and agentic frameworks
Knowledge of langchain and langgraph
** Citigroup is seeking a Gen AI Tech Engineer - AVP for its Pune, India location, focusing on the adoption of Generative AI solutions to enhance operational efficiencies. The ideal candidate will have a strong technical background in AI, experience with large-scale enterprise solutions, and a collaborative mindset. **

Job Summary

  • This role drives the adoption of Large Language Models and agentic flows to enhance operational efficiencies across enterprise solutions.
  • The successful candidate will collaborate with diverse technology teams to integrate Generative AI technologies into enterprise-wide applications.
  • Citi offers a global career environment with opportunities for growth, community impact, and working with cutting-edge financial technology.

Matching Summary

Match Score: 75

** Citigroup is seeking a Gen AI Tech Engineer - AVP for its Pune, India location, focusing on the adoption of Generative AI solutions to enhance operational efficiencies. The ideal candidate will have a strong technical background in AI, experience with large-scale enterprise solutions, and a collaborative mindset. **

Skills & Requirements

Must-have

  • Python and Java programming fluency
  • Experience with LLMs and agentic frameworks
  • Knowledge of LangChain and LangGraph
  • Proficiency in vector stores and search algorithms
  • Cloud platform experience AWS GCP or Azure
  • Docker Kubernetes Terraform infrastructure tools

Nice-to-have

  • React JS or StreamLit UI development skills
  • Spring Boot and Flask framework experience
  • Kafka or JMS/MQ messaging platforms
  • Model risk management and guardrails expertise
  • Agile delivery and value stream methodologies
  • Golang or TypeScript proficiency

Key Requirements

  • 5-8 years of professional experience in finance or tech
  • Bachelor's degree in Computer Science or related field required
  • Master's degree preferred
  • Hands-on experience scaling enterprise AI/ML systems

Work Rights

Not specified

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