Distinguished AI Engineer at Capital One in Bangalore, In

Job description

• At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences.
• Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of
• AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
• At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.
• Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
• You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.
• You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.
• You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.

Responsibilities

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
• Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, evals engine, experimentation, governance, and observability, etc.
• Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
• Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.
• Devise novel context generation techniques that optimize cost / quality trade-offs.
• Design and implement capabilities for automated monitoring, anomaly detection and RCA for multi-turn and headless agentic applications.
• You will collaborate with lines of businesses to design and implement high value agentic applications
• Finally you will coach and evangelize, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences.

Requirements

• Bachelor's degree in Computer Science, Electrical Engineering or Computer Engineering
• At least 6 years of experience developing AI and ML algorithms or technologies
• At least 8 years of experience programming with Python, Go, Scala, or Java
• 10+ years of experience deploying scalable and responsible solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
• 4+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems
• 6+ years of experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
• 2+ years of experience with Agentic frameworks (LangChain, CrewAI, AutoGen etc.)
• 2+ years of experience leading GenAI or LLM-Powered application architectures in production
• 2+ years of experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
• 2+ years of experience with Observability and Evals for agentic applications
• Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
• Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level
• Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers
• Master’s or Ph.D in Computer Science, Computer Engineering, especially in AI/ML areas.

Skills

Required

• Python
• Go
• Scala
• Java

Preferred

• AWS Ultraclusters
• Huggingface
• VectorDBs
• Nemo Guardrails
• PyTorch
• LangChain
• CrewAI
• AutoGen