Gen AI Engineer Intermediate Analyst(4-7Years)
Citi Group
Gen AI Engineer Intermediate Analyst
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 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
The AI Engineer Intermediate Analyst is an intermediate-level professional responsible for designing and implementing complex, scalable AI solutions in coordination with the AI Innovation team. The overall objective is to apply a strong understanding of AI, software architecture, and business processes to build and optimize high-performance AI systems.
Responsibilities:
- 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.
Qualifications:
- 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.
Education:
- Bachelor's/University degree or equivalent experience in Computer Science, Engineering, or a related quantitative field.
Vacancy posted 2 days ago
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