**Discover your future at Citi**
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Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.
**Job Overview**
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We are seeking an experienced and highly skilled **Agentic AI Senior Engineer** to lead the design, development, and deployment of cutting\-edge agentic AI solutions. This role involves significant hands\-on development in Python, architecting advanced multi\-agent systems, and driving the adoption of generative AI platforms. The ideal candidate will possess deep technical expertise, contribute actively to an Agile team, and foster technical excellence.
**Responsibilities:**
* Design, develop, and deploy large\-scale agentic AI solutions using frameworks like Google ADK, LangChain, and LangGraph.
* Architect and implement multi\-agent systems, integrating LLMs (OpenAI, Anthropic, Google Gemini) and AI\-powered capabilities (Vertex AI, Google A2UI, RAG pipelines, vector databases).
* Engineer autonomous agents with planning, tool usage, memory management, and multi\-step reasoning.
* Develop scalable Python backend services (FastAPI, asyncio) with resilient APIs and microservices.
* Build and maintain robust data pipelines (SQL, NoSQL) and secure REST APIs.
* Drive CI/CD practices, automated testing, MLOps, and containerization (Docker, Kubernetes) on cloud platforms (AWS, Azure, GCP).
* Provide technical guidance, ensure adherence to best practices, and mentor junior engineers.
**Recommended Qualifications:**
* **Experience:** 6\- 7\+ years in AI/ML development, applications development, or systems analysis, with a substantial focus on Python. Minimum 2\+ years specifically in AI, prompt engineering, ML, or agentic AI systems. Proven experience as a lead developer for agentic flow design with Google ADK.
* **Technical Skills:**
+ **Python Expertise:** Advanced knowledge of Python ecosystem (FastAPI, Django, Flask, asyncio, PySpark) for scalable, resilient applications.
+ **AI/ML/LLM:** Deep expertise in LLMs (OpenAI GPT, Gemini, Claude, Llama), LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI. Exposure to TensorFlow, PyTorch, scikit\-learn, and AI coding tools (Copilot, Devin).
+ **Databases:** Experience with relational (PostgreSQL, Oracle, SQL Server) and NoSQL (MongoDB, Cassandra, Redis) databases. Proven experience with RAG systems and vector databases (Pinecone, Weaviate).
+ **Cloud \& DevOps:** Strong background in AWS, Azure, GCP, Docker, Kubernetes, CI/CD (Jenkins, GitLab CI, GitHub Actions), and MLOps.
+ **Software Engineering:** Proficiency in secure REST API design, microservices, event\-driven architecture, distributed systems, automated testing (Pytest, unittest), and modern version control (Git).
**Education:**
* Bachelor’s degree/University degree or equivalent experience
This job description provides a high\-level review of the types of work performed. Other job\-related duties may be assigned as required.
* **Experience with Java development in enterprise contexts.**
* **Knowledge of modern frontend frameworks (React, Angular, Vue.js).**
* **Understanding of financial services industry domain.**
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**Job Family Group:**
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Technology
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**Job Family:**
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Applications Development
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**Time Type:**
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Full time
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**Most Relevant Skills**
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Please see the requirements listed above.
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**Other Relevant Skills**
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For complementary skills, please see above and/or contact the recruiter.
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*Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.*
Note: This is a third party job (Aggregated by careeruplift.ai). Shortlisting and Final hiring decision & process is handled by the company.