REMOTE WEST COAST - Sr. Full Stack Engineer; Python, Javascript​/Node.js Java APIs

Sr. Full Stack Software Engineer

Required Skills & Experience - West Coast candidates are highly preferred/preference will be given to candidates who are local to LA, Seattle or San Francisco - BS, BA, or advanced degree in Computer Science, Engineering or its equivalent

5+ years hands-on professional experience as a 'tech agnostic' Sr. Full Stack SWE, specifically with Python, JavaScript (Node.js), Java, Spring, etc. (i.e. server-side technologies specifically)

1+ years of related experience crafting and operating large-scale, high-availability backend services

Must have extensive experience work with and developing APIs

Experience working with a significant consumer product that is currently available

Must be able to write efficient, reliable, and maintainable code whether implementing architectural improvements, user-facing features, or fixing defects

Ability to collaborate in a small, productive development team as well as the larger engineering organization

Demonstrated experience using AI-assisted development tools (e.g., Claude Code, Git Hub Copilot) as part of your daily engineering workflow, with the ability to speak to their impact on velocity and code quality

Experience integrating with or building on top of LLM/GenAI APIs (e.g., OpenAI, Anthropic Claude, AWS Bedrock) to deliver product or platform capabilities

Motivated self-starter with the ability to learn and adapt to new technologies

Excellent verbal and written communication skills; can effectively articulate complex ideas and influence others through well-reasoned explanations

Troubleshoot and resolve issues, problems, and errors encountered across our various platforms

Analyze and optimize application code for efficiency, reliability, and performance

Understand product architecture, assisting other Software Architects as necessary

Ability to manage multiple competing priorities in a fast-paced, deadline-oriented environment

Nice to Have

Skills & Experience:

• 1+ years of related experience utilizing caching technologies
• Demonstrated knowledge of asynchronous programming
• Demonstrated knowledge of functional programming patterns
• Experience designing and building analytics or dashboard applications for a senior leadership or executive audience
• Familiarity with DORA metrics and other engineering performance frameworks
• Experience evangelizing new tools, technologies, or practices across an engineering organization
• Familiarity with measuring and communicating the ROI or impact of tooling and process changes
• Familiarity with retrieval-augmented generation (RAG) architectures, vector databases, and embeddings
• Experience with agentic or multi-step AI workflows

Job Description:

As part of the AIX (AI Experience) Engineering team, your mission is simple: scale AI for the company's workforce and their fans. AIX's work spans three connected areas:

AIX also continues to provide flexible engineering capacity, rotating onto other product Squads as an embedded Forward Deployed Engineer when teams need to burst capacity, bring in a specialist, or stand up new AI-powered features. This is a hands-on engineering position that blends ownership of AIX's product, platform, and impact-measurement initiatives with periodic rotations onto other engineering teams. Depending on your assignment, you may design and ship AI-powered features directly into the company's consumer products, build the data pipelines and dashboard tooling that measure AI's impact on productivity, or support enablement and evangelism efforts across the organization.

You will design, develop, test, deploy, maintain, and enhance software solutions, lean on AI-assisted development tools as part of your own workflow, architect reusable solutions that are shared across the company's products, lead others through complex technical tradeoffs, and provide oversight and direction to other SWE team-members.

Additional Responsibilities:

• Design new AI-powered solutions — whether product-facing features or internal enablement tooling — and drive alignment across engineering and product teams for high-priority company initiatives
• Expertly break down work at the epic level, setting project milestones with reasonable deadlines
• Prioritize work within a project to deliver on the most necessary or urgent requirements
• Write efficient, reliable, and maintainable code to implement new business critical features or optimize existing services
• Evaluate, integrate, and apply LLM/GenAI models and APIs to build AI-powered features for the company's consumer products or internal engineering tooling
• Design and build dashboard and analytics tooling that visualizes AI adoption…