Agentic AI Senior Engineer

Job Description

# 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. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.