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Agentic AI Senior Engineer

Citi -
Pune, Maharashtra

Apply Now

Job details

Full-time
1 day ago

Qualifications

BCS
TensorFlow
CI/CD
Azure
Oracle
Law
Computer Science
Cassandra
React
Kubernetes
DevOps
Microsoft SQL Server
NoSQL
Git
MongoDB
Java
Master's degree
Databases
Microservices
SQL
AWS
Docker
Bachelor's degree
PostgreSQL
Distributed systems
Continuous integration
Redis
REST
Angular
Django
GitHub
APIs
Agile
Flask
AI
Jenkins
GitLab
Python

Full job description

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 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

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.

Apply Now

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