Agentic AI Senior Engineer

**Role Overview** 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.

**Key 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. **Required Qualifications** + **Experience:** 5+ 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). **Desirable Qualifications** + Experience with Java development in enterprise contexts.

+ Knowledge of modern frontend frameworks (React, Angular, Vue. js).

**Education** + Bachelor's degree in computer science, Engineering, or equivalent experience ------------------------------------------------------ **Job Family Group:** Technology ------------------------------------------------------ **Job Family:** Applications Development ------------------------------------------------------ **Time Type:** Full time ------------------------------------------------------ **Most Relevant Skills** Please see the requirements listed above.

------------------------------------------------------ **Other Relevant Skills** For complementary skills, please see above and/or contact the recruiter.

------------------------------------------------------ _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.

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