Senior Lead Software Engineer, Full Stack (AI Platform & Knowledge Library) (Enterprise Platforms Technology)

Capital One; Richmond (VA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Health Insurance

Financial Benefits

Performance Based Incentive

Cash Bonuses

Long Term Incentives

Job summary

Capital One is building a RAG-backed Content Moderation Knowledge Library and optimizing the embedding search pipeline for AI generation. The role leads Prompt MLOps and develops shared AI content compliance APIs across engineering teams, using Python and cloud-native tools.

The ideal candidate has a Bachelor's degree with 6+ years in software engineering, strong in Python, RAG, and vector search, and experience with AWS and API design.

Qualifications

• Requires a Bachelor's degree and at least 6 years of software engineering experience.
• Preferred: Master's degree with extensive Python, RAG, and vector search experience.
• Experience with cloud platforms and API design.

Responsibilities

• Design and build a RAG-backed Content Moderation Knowledge Library and manage embedding search pipeline for AI generation.
• Lead Prompt MLOps and develop shared AI content compliance and generation platform APIs across engineering teams.

Skills

Python

RAG

Large Language Models

Vector Search

AWS

API Design

MLOps

Prompt Engineering

Software Engineering

Cloud Computing

Knowledge Engineering

System Architecture

OpenSearch

Pinecone

PGvector

Weaviate

Education

Bachelor's degree

Master's degree

Job description

Design and build a RAG-backed Content Moderation Knowledge Library and manage the embedding search pipeline for AI generation. Lead Prompt MLOps and develop shared AI content compliance and generation platform APIs across engineering teams.

Requirements

Requires a Bachelor's degree and at least 6 years of software engineering experience, including cloud computing. Preferred qualifications include a Master's degree and extensive experience with Python, RAG systems, and vector search infrastructure.

Key Skills

• Python
• Retrieval-Augmented Generation (RAG)
• Large Language Models (LLM)
• Vector Search
• AWS
• API Design
• MLOps
• Prompt Engineering
• Software Engineering
• Cloud Computing
• Knowledge Engineering
• System Architecture
• OpenSearch
• Pinecone
• PGvector
• Weaviate

Benefits

• Health Insurance
• Financial Benefits
• Performance Based Incentive Compensation
• Cash Bonuses
• Long Term Incentives