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LeadFull-timePythonJavaRustSpringAWSKubernetesMachine LearningAIML
Salary Range
$153,000 - $207,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are seeking a Staff Software Engineer, AI to join the Member Growth organization at SoFi. This role will be pivotal in supporting members’ financial journeys through advanced personalization and AI-driven solutions, and lead the development of internal frameworks, tools, and applications that bring cutting-edge capabilities to our marketing, communications, and measurement systems.
Key Responsibilities
- →Drive technical architecture, design decisions, and cross-functional discussions for AI and ML-based solutions
- →Deliver highly available and scalable services in a production environment
- →Lead the design, development, and testing of systems
- →Lead code and system design reviews
- →Help translate product requirements into user stories and technical solutions
- →Mentor other engineers, support the technical culture, and help grow the team
- →Generate ideas for new initiatives and technologies
- →Communicate with product managers, data scientists, data engineers, and other software developers
- →Consistently demonstrate extremely high levels of technical knowledge, ingenuity, and creativity
- →Develop and apply advanced technologies, engineering principles, theories, and concepts
- →Take initiative and produce timely results in a fast-paced and sometimes ambiguous environment
Requirements
- ✓Bachelor’s Degree in Computer Science or related field, or equivalent experience
- ✓8+ years programming experience on a modern stack with expertise in Python
- ✓Experience working with new technologies in the AI stack, such as building Agents, creating MCP servers, fine tuning models, prompt engineering, and performance evaluation
- ✓Experience working with applications that leverage Large Language Models (LLMs), such as integrating LLMs, designing prompts, or exploring their practical applications
- ✓Comfortable developing using Java, Kotlin, Spring, AWS, Snowflake, and Kubernetes in a cloud-native service-oriented architecture
- ✓Experience working on a SOA or microservice-based application
- ✓Strong sense of ownership; driving a project from inception to completion
- ✓Pragmatic approach towards handling tech debt versus shipping new features
- ✓Experience working in a collaborative coding environment, refining designs together, working through code reviews and managing pull requests
