22 days ago
Pune, India or Chennai, IndiaMid Level
Responsibilities
- Build and integrate generative AI applications using pre-trained and hosted foundation models and managed GenAI APIs.
- Implement context engineering and prompt engineering workflows for reliable, token-efficient AI applications.
- Develop and maintain RAG components involving chunking, embeddings, vector databases, and semantic or keyword search.
- Support knowledge graph, Graph RAG, and agentic workflows involving tool-calling, planning, and memory.
- Integrate agents with external tools and data sources through MCP, with exposure to A2A.
- Deploy, monitor, and maintain GenAI and agentic applications in production.
- Perform data preprocessing, document ingestion, and basic API development.
- Collaborate with data scientists and engineers, and participate in code reviews, testing, documentation, and knowledge sharing.
Requirements
- Proficiency in Python for GenAI development, data preprocessing, and scripting.
- Understanding of foundation models, LLMs, tokenization, embeddings, and context windows.
- Hands-on prompt engineering and foundational context engineering experience.
- Practical project or professional experience building RAG systems, including chunking, vector databases, and semantic search.
- Familiarity with knowledge graphs, Graph RAG, agent tooling, tool or function calling, MCP, and agent harness concepts such as state management, memory, and guardrails.
- Exposure to agent development using Google ADK, LangGraph, CrewAI, or the OpenAI Agents SDK.
- Experience consuming GenAI APIs such as OpenAI, Gemini, or Claude, and exposure to LangChain or LlamaIndex.
- Understanding of application deployment and Docker containerization, plus working knowledge of Git.
- Awareness of AI compliance, data privacy, guardrails, and responsible AI principles.
- Strong teamwork, communication, analytical, learning, and continuous-improvement skills.
- Bachelor's or master's degree in Computer Science, Data Science, AI, or a related field.
- 4+ years of experience, including 2–4 years of professional software or AI development experience with exposure to Generative AI and agentic AI.
- Experience contributing to collaborative AI/GenAI or software projects.
- Exposure to cloud-based AI/ML environments such as AWS, GCP, or Azure is preferred.
Categories
About Citi
Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have over 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank – an institution connecting millions of people across hundreds of countries and cities. For information on Citi’s commitment to privacy, visit on.citi/privacy.