2 months 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 is a public financial-services company offering consumer and institutional banking, credit cards, wealth management, treasury and trade solutions, and capital-markets services. It serves individuals, corporations, financial institutions, and governments in more than 160 countries and jurisdictions, earning interest and fee income from lending, payments, trading, and advisory. Founded in 1812 and headquartered in New York, it trades on the NYSE under the ticker C.