AI Engineer Intermediate Analyst(4-7Years) at Citi

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

18 Mar, 26

Salary

0.0

Posted On

18 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Agentic Solutions, Memory Management, Hallucination Control, Performance Measurement, Reinforcement Learning, Python, PyTorch, TensorFlow, LangChain, Cloud Platforms, AWS, Azure, GCP, Kubernetes, MLOps

Industry

Financial Services

Description

Design and develop production-ready Generative AI and Agentic solutions, with a strong focus on Agent Architecture selection, memory management, hallucination control, and performance measurement. Analyze complex business processes and problems to design and implement technology and analytic solutions at scale, with a focus on performance optimization. Develop and maintain robust data and technology pipelines, ensuring they are scalable, efficient, and reliable. Implement feedback loops for AI agents using reinforcement learning techniques to continuously improve solution effectiveness. Take ownership of the technical design and implementation of AI features and services. Adhere to and promote best practices in software development, MLOps, and Model Governance. Mentor junior engineers and provide technical guidance on projects. 4-7 years of overall experience with a minimum of 2 years of experience in developing production-ready Gen AI based RAG or Agent-based solutions. Strong experience in designing Agentic solutions, including Agent Architecture selection, memory management, hallucination control, and measuring solution effectiveness. Proven ability to analyze business problems and design scalable technology/analytic solutions. Hands-on experience with performance optimization of highly scalable systems. Strong proficiency in Python and deep experience with AI/ML frameworks (PyTorch, TensorFlow, LangChain). Extensive experience with cloud platforms (AWS, Azure, GCP), containerization (Kubernetes), and MLOps tools. Experience with data pipeline and technology pipeline development. Excellent analytical skills and a deep understanding of software architecture principles. Bachelor's/University degree or equivalent experience in Computer Science, Engineering, or a related quantitative field. ------------------------------------------------------ For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------

Responsibilities

Design and develop production-ready Generative AI and Agentic solutions, focusing on performance optimization and technology implementation. Mentor junior engineers and ensure adherence to best practices in software development and MLOps.