Required Qualifications: ⢠9 years of progressive professional software engineering experience with a minimum of 2 years dedicated to building and deploying AI-powered solutions ⢠Expert proficiency in Python, Java, or Typescript, JavaScript, coupled with a profound understanding of Data Structures and Object-Oriented Principles ⢠Extensive hands-on experience with Large Language Models (LLMs), eg OpenAI GPT, Anthropic, Claude, Gemini, Llama, including finetuning techniques and advanced prompt engineering ⢠Proven expertise in designing and implementing RAG architectures encompassing embedding strategies, vector stores, and semantic search ⢠Deep experience with microservices, designing and implementing RESTful/GraphQL APIs and practical application of containerization technologies, Docker, Kubernetes, Openshift ⢠Demonstrated experience with modern web stacks, React, Nextjs, Tailwind CSS, JavaScript, TypeScript, etc ⢠Practical experience with Agentic frameworks, LangChain, LangGraph, AutoGen, CrewAI, etc, including designing, implementing, and orchestrating multi-agent systems ⢠Solid understanding and practical application of frameworks such as Spring Boot, FastAPI, Express, etc ⢠Significant experience working within agile and iterative software delivery methodologies, SAFe, SCRUM, Kanban ⢠Proficiency in various database technologies, including advanced SQL and vector databases, Oracle, PostgreSQL, MongoDB, Aurora, Pinecone, pgvector, etc ⢠Experience with event-driven design and architecture, eg SQS, SNS, Kinesis, Kafka, Spark, Flink, RabbitMQ ⢠B.Tech/BEngg degree or equivalent work experience ⢠Preferred Qualifications: ⢠Experience in designing and implementing complex multi-agent collaboration architectures ⢠Familiarity with AIdriven development tools, eg Cursor, Claude, Copilot, to enhance productivity ⢠Proven architectural experience in building horizontally scalable, highly available, highly resilient, and low-latency applications ⢠Experience with both on-premise and public cloud infrastructure, eg OpenShift, AWS, including Infrastructure as Code tools, eg Terraform, CloudFormation ⢠Knowledge of Security, Observability, and Monitoring tools, eg Grafana, Prometheus, Splunk, ELK, CloudWatch ⢠Prior experience mentoring and providing technical leadership to teams of 5 or more developers ⢠Familiarity with Job Schedulers, eg Apache Workflow, Autosys, CloudWatch. ⢠Champion Engineering Excellence ⢠Agile Delivery ⢠Drive best practices in code quality, unit testing, CICD, and security ⢠Act as a strong contributor within an Agile software delivery team, collaborating to achieve sprint goals and actively participating in the broader Citi technical community and Agile/Scrum processes.