24 hours ago
Pune, India or Chennai, IndiaStaff+
Responsibilities
- Design and implement generative AI and agentic AI solutions across the enterprise Controls Technology platform.
- Architect context engineering strategies including context layering, chaining, compression, pruning, offloading, and memory management.
- Build RAG, hybrid search, multi-vector retrieval, re-ranking, knowledge graph, and Graph RAG systems.
- Develop agentic workflows, multi-agent systems, agent harnesses, governance controls, feedback loops, state management, and execution controls.
- Integrate agents with tools and data through MCP and coordinate inter-agent collaboration through A2A.
- Support production deployment, scalability, observability, maintainability, and real-time or streaming AI solutions.
- Apply ethical AI, guardrails, agent isolation, sandboxing, data privacy, and compliance practices.
- Mentor junior team members, perform code reviews, share knowledge, and collaborate with cross-functional stakeholders.
Requirements
- Bachelor's or master's degree in Computer Science, Data Science, AI, or a related field.
- 12+ years of total experience, including 5–7 years in AI or software development with significant generative AI and agentic AI experience.
- Deep hands-on knowledge of foundation models, LLMs, embeddings, tokenization, and context-window management.
- Advanced prompt and context engineering skills, including RAG, chunking, hybrid search, and multi-vector retrieval.
- Experience with knowledge graphs and Graph RAG using technologies such as Neo4j or ArangoDB.
- Experience building agentic AI systems with Google ADK or comparable frameworks, including tool calling, planning, and memory.
- Strong understanding of multi-agent orchestration patterns and harness engineering.
- Hands-on experience with MCP and A2A interoperability protocols.
- Experience with agent observability and evaluation, including tracing and OpenTelemetry-based tooling.
- Proficiency with GenAI APIs, LangChain, LlamaIndex, NLP techniques, vector databases, and embedding models.
- Experience with Docker, Kubernetes, CI/CD pipelines, AWS or equivalent cloud infrastructure, data preprocessing, document ingestion, and API development.
- Strong Python skills and understanding of AI compliance, guardrails, and responsible AI practices.
- Demonstrated portfolio of successful AI-driven business projects and the ability to mentor and communicate with technical and non-technical audiences.
Benefits
- Full-time position.
- Citi is an equal opportunity employer and provides reasonable accommodations for applicants with disabilities.
Tech Stack
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.