Agentic AI Developer Job at Citi (Pune)

Job Description

The Applications Development Senior Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities. The Agentic AI Developer will be responsible for designing, developing, and deploying AI agents capable of understanding goals, planning actions, and executing tasks with minimal human intervention. This role requires a strong understanding of AI principles, agent-based systems, machine learning, and software engineering best practices. The ideal candidate will be able to translate research ideas into robust and scalable production systems.

Job Responsibility

Agent Design and Development: Design and implement intelligent agents, including their perception, reasoning, planning, and action execution modules.
System Architecture: Develop scalable and robust architectures for agentic systems, ensuring high performance, reliability, and security.
Machine Learning Integration: Integrate various machine learning models (e.g., LLMs, reinforcement learning, predictive models) to enhance agent capabilities and decision-making.
Task Automation: Develop agents that can automate complex tasks, optimize workflows, and solve real-world problems across various domains.
Framework and Tooling: Utilize and contribute to agentic AI frameworks and development tools.
Evaluation and Optimization: Design and implement metrics and evaluation strategies for agent performance, continuously optimizing and improving agent behavior.
Research and Innovation: Stay abreast of the latest advancements in AI, particularly in agent-based systems, autonomous AI, and related fields, and propose innovative solutions.
Collaboration: Work closely with cross-functional teams including AI researchers, data scientists, product managers, and software engineers to integrate agentic solutions into broader products and services.
Documentation: Create comprehensive technical documentation for agent designs, implementations, and operational procedures.
Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users
Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement
Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality
Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems
Ensure essential procedures are followed and help define operating standards and processes
Serve as advisor or coach to new or lower level analysts
Has the ability to operate with a limited level of direct supervision.
Can exercise independence of judgement and autonomy.
Acts as SME to senior stakeholders and /or other team members.
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Requirements

8+ years of relevant experience
5+ years of professional experience in software development with a focus on AI, machine learning, or agent-based systems. Experience in finance industry a plus.
Strong proficiency in Python, SQL
Java is a plus.
Solid understanding of core AI concepts, including knowledge representation, automated planning, decision-making under uncertainty, and multi-agent systems.
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and relevant libraries (e.g., scikit-learn, numpy, pandas).
Familiarity with large language models (LLMs) and their application in agentic systems.
Familiarity with specific agent frameworks (e.g., LangChain, AutoGen, CrewAI, RAG) or research in multi-agent reinforcement learning.
Experience in designing and implementing APIs for AI services.
Experience with software development best practices, including version control (Git), CI/CD pipelines, testing, and code reviews.
Excellent analytical and problem-solving skills with a creative approach to complex challenges.
Strong written and verbal communication skills, with the ability to articulate complex technical concepts to diverse audiences.
Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
Bachelor’s degree/University degree or equivalent experience

Nice to have

Experience in finance industry a plus.
Java is a plus.

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Agentic AI Developer

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