Job Post: Generative AI Research Engineer | On-Site in Pune
Introduction
Looking to make an impact in the fast-evolving world of Generative AI? Citi’s ICG Technology Strategy team is seeking an innovative and dynamic Generative AI Research Engineer to join its Pune office. In this role, you’ll work at the forefront of artificial intelligence, contributing to Citi’s groundbreaking AI platforms, products, and engineering solutions.
If you are a tech-savvy professional with expertise in Python, Kubernetes, machine learning, and large language models (LLMs), this is your opportunity to create transformative products that define the future of banking technology.
Job Overview
• Position: Generative AI Research Engineer
• Location: Pune, India
• Job Type: On-Site/Resident
• Category: Technology
• Experience Required: Strong experience in Generative AI, ML systems, Kubernetes, Python, and Golang
Key Responsibilities
As a Generative AI Research Engineer, you will:
1. Develop Scalable AI Products: Contribute to the 0-to-1 build of multiple AI-driven products and platforms.
2. Engineer Reliable Backend Systems: Utilize Python, Golang, and other programming languages to design and build scalable APIs.
3. Innovate in the Generative AI Space: Be a pioneer in creating first-of-its-kind Generative AI solutions for Citi, leveraging LLMs, LangChain, and cutting-edge ML frameworks.
4. Enhance User Experience: Prioritize user-centered designs to build high-quality AI applications.
5. Mentor Team Members: Guide and mentor junior engineers to grow their technical expertise.
6. Iterate and Scale AI Platforms: Continuously optimize AI models and platforms based on internal customer needs.
Qualifications & Skills Required
To excel in this role, you should have:
1. Technical Expertise:
• Proficiency in Python, Golang, and TypeScript.
• Hands-on experience with Kubernetes ecosystems and backend platform development.
• Advanced knowledge of LLMs, transformers, and vector databases.
2. Machine Learning Acumen:
• Expertise in Pytorch, TensorFlow, and LangChain.
• Experience with MLOps pipelines and large-scale ML system engineering.
3. Problem-Solving Skills:
• Ability to design complex architectures and innovative solutions for AI research challenges.
4. Real-World AI Applications:
• Knowledge of ETL pipelines, high-performance APIs, and sandboxing systems for Generative AI research.
5. Open-Source Contribution:
• A history of contributing to or maintaining open-source projects is highly valued.
What Makes You a Good Fit?
• Passion for AI innovation and a relentless drive to explore Generative AI technologies.
• Strong problem-solving capabilities in fast-paced, results-driven environments.
• Ability to collaborate through pair programming and teamwork.
• Desire to shape the future of AI platforms by leveraging your knowledge of Kubernetes, machine learning, and LLMs.
Why Work at Citi?
• Innovative Culture: Work in a startup-like environment that prioritizes innovation and collaboration.
• Cutting-Edge Tools: Access the latest technologies, including LangChain, TensorFlow, and Kubernetes.
• Growth Opportunities: Join a team where you’ll continually learn and evolve with the fast-moving field of AI.
• Inclusive Environment: Be part of an equal-opportunity workplace where your contributions are valued.
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Technical Interview Questions
Q1: Explain the concept of Large Language Models (LLMs).
Answer: LLMs are deep learning-based models, such as GPT or BERT, that process and generate human-like text. They use transformers to handle large datasets and identify complex language patterns, enabling applications in NLP tasks like summarization, translation, and chatbot interactions.
Q2: What is LangChain, and how is it used in Generative AI?
Answer: LangChain is a framework for building applications powered by language models. It allows seamless integration of LLMs, databases, and APIs for tasks like document retrieval, question answering, and more.
Q3: How do Kubernetes ecosystems support scalable AI development?
Answer: Kubernetes simplifies deployment and scaling of AI models by managing containers efficiently. It supports distributed computing, resource allocation, and fault-tolerant systems, making it ideal for high-performance AI applications.
Q4: What are vector databases, and why are they important in AI?
Answer: Vector databases store and retrieve embeddings generated by ML models, enabling fast similarity searches. They are critical for tasks like recommendation systems, image retrieval, and natural language search.
Q5: What role does MLOps play in AI product development?
Answer: MLOps bridges the gap between development and operations for ML projects. It automates the CI/CD pipeline, model monitoring, and deployment, ensuring scalable and reliable AI solutions.
Non-Technical Interview Questions
Q1: How do you stay updated with the latest AI and ML advancements?
Answer: Mention resources like research papers, AI conferences, and hands-on projects. Highlight your ability to learn and apply new concepts effectively.
Q2: Describe a challenging AI project you’ve worked on.
Answer: Share a detailed example that emphasizes problem-solving, innovation, and the impact of your work on the project’s success.
Q3: How do you handle collaboration in a fast-paced environment?
Answer: Discuss your teamwork approach, adaptability, and experience with methodologies like Agile or pair programming.
Q4: What excites you most about this Generative AI role?
Answer: Express your enthusiasm for working with LLMs, cutting-edge tools, and contributing to Citi’s AI innovation strategy.
Q5: How would you mentor a junior team member on AI engineering?
Answer: Highlight your ability to share knowledge, provide constructive feedback, and foster growth in team members.
Conclusion
If you’re ready to explore the boundaries of Generative AI, build scalable ML systems, and lead innovation at a global scale, this role is perfect for you. Citi’s Pune-based Generative AI Research Engineer position offers an exciting opportunity to be part of a dynamic and impactful team.
Apply now and take the next step in your AI career!