Role descriptionJoin our pioneering team as a FullStack AI Engineer and be at the forefront of building the next generation of intelligent AIpowered products that redefine user experiences and solve complex business challenges This pivotal role empowers you to own the entire solution stack from intuitive frontend interfaces to robust backend infrastructure and cuttingedge agentic AI systems You will play a critical role in designing developing and deploying highimpact AIdriven solutions driving engineering excellence and influencing our software architecture Were seeking a passionate problemsolver who thrives in a collaborative agile environment dedicated to crafting innovative solutions and contributing to Citis vibrant technical community
Key Responsibilities- Pioneer FullStack AI Application Development Design develop and deploy transformative end to end applications leveraging modern web frameworks React Nextjs FastAPIPython Java with Large Language Models LLMs at their core
- Architect Agentic AI Systems Lead the design and implementation of sophisticated autonomous agents capable of multistep reasoning planning and dynamic task execution using frameworks like LangChain LangGraph or AutoGen
- Innovate RAG Pipeline Design Architect and optimize productiongrade RetrievalAugmented Generation RAG pipelines focusing on advanced embedding strategies efficient vector database management Pinecone Milvus Chroma and superior retrieval performance
- Build Scalable Backend API Integrations Develop highly performant asynchronous backend services that seamlessly integrate LLMs external APIs and tools ensuring exceptional reliability and ultralow latency
- Optimize Data Database Management Strategically manage structured and unstructured data overseeing both traditional SQLNoSQL databases and advanced vector databases to enable contextaware and intelligent AI systems
- 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 AgileScrum processes
Required Qualifications- 9 years of progressive professional software engineering experience with a minimum of 2 years dedicated to building and deploying AIpowered solutions
- Expert proficiency in Python Java or TypescriptJavascript coupled with a profound understanding of Data Structures and ObjectOriented Principles
- Extensive handson 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 RESTfulGraphQL APIs and practical application of containerization technologies DockerKubernetesOpenshift
- 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 multiagent 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 eventdriven design and architecture eg SQS SNS Kinesis Kafka Spark Flink RabbitMQ
- BTechBEngg degree or equivalent work experience
- Preferred Qualifications
- Experience in designing and implementing complex multiagent 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 lowlatency applications
- Experience with both onpremise 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
