Agentic AI Senior Engineer

Citi

Pune District

On-site

INR 2,500,000 - 4,500,000

Full time

14 days+

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Job summary

Citi in Pune, India seeks an experienced Agentic AI Senior Engineer to lead design, development, and deployment of agentic AI solutions. You will hands-on develop in Python, architect multi-agent systems, and drive generative AI platform adoption in an Agile team.

The role requires deep technical expertise, mentoring of junior engineers, and delivering scalable, secure microservices with FastAPI, Docker, Kubernetes, and cloud platforms such as AWS/GCP/Azure.

Qualifications

  • 5+ years in AI/ML development with Python focus.
  • 2+ years in AI, prompt engineering, or agentic AI systems.
  • Proven leadership as lead developer for agentic flow design with Google ADK.
  • Strong cloud, DevOps, and MLOps experience.

Responsibilities

  • Design, develop, and deploy large-scale agentic AI solutions.
  • Architect multi-agent systems integrating LLMs.
  • Engineer autonomous agents with planning and memory.
  • Develop scalable Python backend services (FastAPI, asyncio).
  • Build robust data pipelines and secure REST APIs.
  • Drive CI/CD, automated testing, and containerization.
  • Provide technical guidance and mentor engineers.

Skills

Python
FastAPI
Django
Flask
asyncio
LLMs
LangChain
LangGraph
LlamaIndex
Docker
Kubernetes
AWS
GCP
Azure
REST APIs
Microservices
CI/CD
PyTest

Education

Bachelor's degree in CS/Engineering

Tools

PostgreSQL
Oracle
SQL Server
MongoDB
Cassandra
Redis

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.

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