Senior Software Development Engineer I

Shein Group; San Diego (CA); Presencial; USD 123.000 - 175.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health Savings Account with Employer F

Flexible Spending Accounts (Healthcare

Company-Paid Life/AD&D insurance

Disability insurance

Voluntary Benefits

401(k) with company match

Paid vacation and holidays

Company events

Snacks and beverages

Descripción de la vacante

SHEIN Technology is seeking a Senior Software Engineer (Forward Deployed Engineering) to own production AI systems for U.S. Marketplace sellers, turning seller data into publish-ready product listings with AI-driven mappings and automated verification.

You will build agentic systems, evaluate model performance, and collaborate with SHEIN Open Platform partners for API integration and testing. This high-ownership role requires turning real-world data into reliable production solutions and guiding

Formación

• Master's degree in Computer Science, AI, or related field, or equivalent practical experience.
• 3+ years of professional software engineering experience, including shipping LLM-powered applications to production.
• Experience building and evaluating production agentic systems on LLMs with multi-step tool use and structured output.
• Proficiency with REST APIs, webhooks, relational DBs, Redis, Kafka, containerized deployment, and external integrations.

Responsabilidades

• Build and maintain evaluation systems for agentic LLMs, including benchmarks and datasets from real seller data.
• Drive improvement loops by analyzing model runs, errors, and eval results to update prompts, plans, and mapping rules.
• Develop and run reliable production infrastructure for high-volume data and assets; ensure observability, security, and audits.
• Own AI automation platforms for HR and finance workflows within SHEIN U.S. business functions.
• Collaborate with partners and internal teams to enable API integrations, testing, and rollout.

Conocimientos

Backend development

REST APIs

Webhooks

MySQL

Redis

Kafka

Container deployment

External partner integrations

AI tooling

Explaining model behavior

Educación

Master's degree in CS/AI or related field

Herramientas

LangGraph / LangChain

Descripción del empleo

SHEIN is a global fashion and lifestyle e-retailer committed to making fashion accessible to all. We use on-demand manufacturing technology to connect suppliers to our agile supply chain, reducing inventory waste and enabling us to deliver a variety of affordable products to customers around the world. From our global offices, we reach customers in nearly 160 countries and regions worldwide. Founded in 2012, SHEIN has more than 17,000 employees operating from offices around the world, with U.S. Headquarters located in Los Angeles.

In SHEIN, we work with outstanding, creative, and capable peers. We share an energetic and open culture for capable people to discern, work and ignite as a team.

At SHEIN, our culture is driven by our core values: Customer First, Take Ownership, Deliver Results, Make Change, and Celebrate Diversity. These are not just words, they are the principles that guide our work as we strive to meet the needs of our customers around the world.

About the Position

Job Responsibilities

Target Level: S5-1

Reports to: Engineering Manager, U.S. Augmented Intelligence Team

About SHEIN

SHEIN is a global online fashion and lifestyle retailer, offering SHEIN branded apparel and products from a global network of vendors, all at affordable prices. Headquartered in Singapore, with more than 15,000 employees operating from offices around the world, SHEIN is committed to making the beauty of fashion accessible to all, promoting its industry-leading, on-demand production methodology, for a smarter, future-ready industry.

Position Summary

SHEIN Technology is looking for a Senior Software Engineer (Forward Deployed Engineering) to join the U.S. Augmented Intelligence Team and own production AI systems that help U.S. Marketplace sellers onboard and list products at scale. You will build and continuously improve agentic systems that turn arbitrary seller data — spreadsheets, ERP exports, and storefront catalogs — into correct, publish-ready product listings, with AI-driven category, attribute, and brand mapping, automated verification, and human-in-the-loop review. You will also own AI automation that supports SHEIN's U.S. business functions, such as people operations and accounting.

This role combines applied large-model engineering with production backend and integration work. Beyond shipping the first version, you will own the evaluation and improvement loop behind these agents: building benchmarks and eval harnesses from real seller data, using model-driven analysis of failures to iterate on plans, prompts, and mapping logic, and guarding against overfitting so gains hold up on unseen data. You will also serve as a technical point of contact for SHEIN Open Platform partners — ERPs, multichannel listing tools, and logistics providers — supporting their API integration, acceptance testing, and launch.

You will work directly with the U.S. Marketplace business team, U.S. corporate-function stakeholders, external integration partners, and SHEIN engineering counterparts in China. This is a high-ownership role: requirements often arrive as real seller files and partner questions rather than written specs, and you will be expected to take them from discovery to production and adoption.

• Build and maintain the evaluation system behind these agents — benchmark and blind holdout datasets from real seller data, end-to-end evals of the full publishing chain, and evidence-based model and configuration selection across accuracy, stability, latency, and cost.
• Drive recursive improvement loops in which models analyze task runs, error logs, and eval failures to propose and validate changes to prompts, plans, and mapping rules — with explicit anti-overfitting audits before any change reaches production.
• Build and run reliable production infrastructure: high-volume file and image processing, asynchronous task orchestration (e.g., Kafka), checkpointing, token-usage and publishing audit trails, observability, security remediation, on-call support, and documentation.
• Own and extend the team's internal AI automation platform for SHEIN's U.S. business functions — e.g., workforce-productivity automation integrating HR and project-management systems and accounting workflow automation — from requirements and data-source changes through rollout, stakeholder onboarding, and ongoing maintenance.
• Serve as a technical point of contact for SHEIN Open Platform partners (API support, UAT, acceptance, and coordination with SHEIN engineering in China), and work directly with U.S. Marketplace stakeholders and pilot sellers to prioritize features, run demos, and drive adoption from internal tool to seller-facing product.

Job Requirements

• Master's degree in Computer Science, Artificial Intelligence, or a related field — or equivalent practical experience — with 3+ years of professional software engineering experience, including shipping LLM-powered applications to production.
• Proven track record building and evaluating production agentic systems on LLMs — multi-step tool use, structured output, multi-agent orchestration, and designing around non-deterministic behavior; ability to build eval datasets from real business data, separate training and blind holdout sets, and catch regressions when models, prompts, or data change. Experience with LangGraph / LangChain is a plus.
• Solid backend, database, and integration skills — REST APIs and webhooks, relational databases such as MySQL, caching with Redis, message queues such as Kafka, containerized deployment, high-volume data processing, and integrating with external partners and internal business systems (e.g., HR, finance, or project-management SaaS) through APIs.
• Proficiency with an AI-powered coding tool (Claude Code, Codex CLI, GitHub Copilot, or Cursor) and the ability to design structured, repeatable AI-assisted development workflows.
• Ability to turn ambiguous business needs and messy real-world data into reliable solutions, and to explain model behavior and limitations clearly to non-engineering stakeholders.

Preferred Qualifications

• Experience with Recursive Self-Improvement (RSI) for AI agents — building closed loops in which an agent's own runs, failures, and eval results are fed back (often through another model) to propose, test, and adopt improvements to its prompts, plans, tools, or skills, with rigor to keep them honest: blind evaluation, overfitting audits, regression gates, and human review before production.
• Experience with e-commerce marketplaces and seller-side tooling — product catalogs, category taxonomies, attributes and variants (SPU/SKU), and ERP, multichannel listing, or fulfillment integrations (e.g., Shopify, Walmart, Amazon MCF, SellerCloud).
• Prior experience in a forward-deployed, solutions, or technical consulting / professional-services role — embedding with business teams or external clients to scope ambiguous problems, deliver AI solutions in their production environment, and drive adoption end-to-end.
• English and Mandarin bilingual fluency for collaboration with SHEIN HQ engineering teams in China.

Salary Range

$122,600 - $175,100

Job Status

exempt

• Health Savings Account with Employer Funding
• Flexible Spending Accounts (Healthcare and Dependent care)
• Company-Paid Basic Life/AD&D insurance
• Company-Paid Short-Term and Long-Term Disability
• Voluntary Benefit Offerings (Voluntary Life/AD&D, Hospital Indemnity, Critical Illness, and Accident)
• Employee Assistance Program
• Business Travel Accident Insurance
• 401(k) Savings Plan with discretionary company match and access to a financial advisor
• Vacation, paid holidays, floating holidays, and sick days
• Free swag giveaways
• Annual Holiday Party
• Invitations to pop-ups and other company events
• Complimentary daily office snacks and beverage

SHEIN is committed to an equitable and inclusive work environment for all candidates and provides equal opportunities in all employment practices without regard to race, color, national origin, ancestry, religion, sex, sexual orientation, gender identity, pregnancy or childbirth, age, disability, or veteran status.