Mogappair Chennai Tamil Nadu Senior generative ai engineer python and agentic ai Jobs – 63 Open Jobs Today

Senior Generative AI Engineer-Python and Agentic AI
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- Full-time
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Infotel UK —Chennai, Tamil Nadu
- APIs
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Senior Software Engineer - Python with GenAI, LLM
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Citi —Chennai, Tamil Nadu
- Full-time
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- Full-time
- Azure
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Citi —Chennai, Tamil Nadu
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- ₹50,000 - ₹1,50,000 a month
- Full-time
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Quick apply
Custom Software Engineer
Accenture —Chennai, Tamil Nadu
- Full-time
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- Full-time
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Sr Software Engineer_GenAi/ML - 4to6yrs exp_Chennai/gurgaon
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- Email
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Yubi —Chennai, Tamil Nadu
- Full-time
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Senior Generative AI Engineer-Python and Agentic AI

Citi -
Chennai, Tamil Nadu

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Job details

Full-time

Qualifications

TensorFlow
Law
Computer Science
Software design
Kubernetes
PyTorch
Data structures
Google Cloud Platform
Master's degree
Microservices
Analysis skills
Docker
Bachelor's degree
Machine learning
Deep learning
Mentoring
APIs
Financial services
Data science
Business requirements
AI
Communication skills
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

We are seeking an experienced and highly skilled Senior GenAI Engineer to join our innovative team. The ideal candidate will have over 5 years of hands-on experience in generative AI development, with a strong background in agentic AI systems, large language models (LLMs), and advanced Python programming. This role requires exceptional technical skills, the ability to lead complex GenAI projects, and a passion for pushing the boundaries of AI capabilities.

Key Responsibilities

Generative AI Solution Development: Design, develop, and deploy cutting-edge generative AI models and applications, focusing on leveraging Agentic AI principles to create autonomous and intelligent systems.
Agentic AI System Design: Architect and implement multi-agent systems and AI agents capable of complex reasoning, planning, and execution in dynamic environments.
LLM Integration and Customization: Integrate and fine-tune large language models (LLMs) into applications, ensuring optimal performance, accuracy, and ethical alignment.
Python Development: Write robust, scalable, and efficient Python code for GenAI model development, data preprocessing, application logic, and API integrations.
Framework Utilization (Langchain, Langraph, Langsmith): Expertly apply and extend GenAI frameworks and tools such as Langchain for orchestration, Langraph for agentic workflow visualization, and Langsmith for debugging and evaluation of LLM applications.
Google ADK Implementation: Utilize the Google Agent Development Kit (ADK) to build, deploy, and manage AI agents within Google Cloud ecosystems.
Research and Innovation: Stay updated with the latest advancements in generative AI, agentic AI, and related fields. Experiment with new technologies and methodologies to continuously improve our GenAI offerings.
Performance Optimization: Optimize GenAI models and agentic systems for performance, scalability, and cost-efficiency in production environments.
Documentation and Best Practices: Develop and maintain comprehensive documentation for GenAI models, architectures, and applications. Establish and enforce best practices for GenAI development, testing, and deployment.
Collaboration and Mentorship: Collaborate with cross-functional teams including product managers, data scientists, and MLOps engineers. Provide mentorship and guidance to junior developers on GenAI best practices and emerging technologies.

Required Skills and Qualifications

Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.
Experience: Minimum of 4 years of hands-on experience in Generative AI development, with a significant focus on Agentic AI systems.
Technical Skills:
- Advanced proficiency in Python programming.
- Demonstrated experience with large language models (LLMs) and their application.
- Strong practical experience with GenAI frameworks such as Langchain, Langraph, and Langsmith.
- Experience with Google Agent Development Kit (ADK).
- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with cloud platforms (GCP preferred) and MLOps practices.
- Solid understanding of data structures, algorithms, and software design principles.
Analytical Skills: Exceptional analytical and problem-solving skills, with the ability to translate complex business requirements into scalable GenAI solutions.
Communication: Excellent verbal and written communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
Innovation: A strong track record of driving innovation and implementing novel solutions in the AI space.

Preferred Qualifications

Experience with microservices architecture and API design.
Familiarity with containerization technologies (Docker, Kubernetes).
Prior experience in financial services or a highly regulated industry.
Contributions to open-source GenAI projects or relevant publications.
Leadership: Demonstrated experience in leading GenAI projects or mentoring development teams.

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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senior generative ai engineer python and agentic ai jobs in mogappair chennai tamil nadu

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