Senior Software Engineer (Java; AI solution; LatAm-based)

Location:      Remote--will work for a US client with teams based in Los Angeles, California

Level:        Principal/Staff

Summary

Our client is a billion-dollar lifestyle lifestyle membership and e-commerce platform that delivers a curated collection of full-size products across beauty, fashion, wellness, fitness, home, and technology. As a market leader, they empower women to lead healthier, more fulfilling lives.

Our client prides themselves on their innovative approach and strong technology expertise, utilizing cutting-edge tools and methodologies to drive growth and enhance user experiences.

Joining the engineering team means being part of a collaborative and dynamic environment where your technical skills and creativity are valued and nurtured. With a focus on continuous improvement and embracing the latest advancements, they offer an exciting opportunity for engineers to work on challenging projects that make a real impact.

They are looking for a experienced Software Engineer to join their core and impactful API Team. As a Staff Software Engineer, you’ll spearhead the creation of innovative generative AI solutions from the ground up, driving both strategic vision and hands-on technical execution. Your work will empower our client to craft delightful shopping experiences, leveraging cutting-edge AI to personalize offerings, enhance customer engagement, and elevate the platform’s impact. If you’re passionate about building transformative technology for a vibrant, women-focused e-commerce ecosystem, this is your chance to lead the charge.

We would love to hear from you if:

• You love to design, build, and operate domain-driven backend systems at scale.
• You’ve worked in agile-ish systems, kanban systems, and more importantly, hybrid systems.
• You’re good at demystifying complex technical concepts for laymen and love to simplify complex ideas for curious teammates.
• Automation has become a core value for you, and your systems can operate in production for long periods without human intervention.
• You already can’t live without continuous delivery and know how to drive towards small, frequent deployments.
• You know how to tune up observability up and down the stack.
• You know how to find the growth edge for people on your team, including your own.

What you’ll do:

• Lead the development of generative AI solutions from the ground up, including strategic planning and technical execution.
• Design and implement customer-facing AI experiences integrated into our platforms, including features such as:

Personalized product descriptions.

Customer-facing chatbots to improve user engagement, including features that enable users to manage their account, billing, purchasing, and order status.

Agents for managing complex internal workflows.

• Develop, optimize, and maintain backend and application code in Java (and some Python) to support functionalities (including AI features).
• Deploy and manage components in production, ensuring their stability, scalability, and performance.
• Collaborate with cross-functional teams to define requirements and align project goals.
• Participate in weekly sprints to ensure timely planning, execution, and review of tasks.
• Establish standards and best practices through comprehensive documentation and training.
• Encourage a culture of experimentation, prototyping and brainstorming across technical teams
• Mentor and coach less experienced engineers on the team

Your background and skills will include:

• Bachelor’s degree in computer science or a related field is preferred
• 10+ years of experience as a software engineer, building and operating production systems at scale, with a strong focus on backend development.
• Proficiency in Java and its ecosystem
• Experience with Python or C# is a plus
• Understanding of data science concepts to support performance evaluation.
• AI and Chatbot Experience is a huge plus:

1 year of experience working with foundational LLM models, including deploying, fine-tuning, and integrating these models into production environments.

Worked on prompt engineering, experimenting with different approaches to enhance AI output.

Deployed and integrated AI models, specifically LLM foundational models, into real-world applications.

Worked with LLM agent architectures like AutoGen, MetaGPT, CrewAI, LangGraph, Semantic Kernel, AutoGPT, and Swarm.

Developed or worked with traditional chatbot frameworks such as Dialog Flow, Rasa, Microsoft Bot Framework, and Wit.ai.

Fine-tuned large language models to improve application-specific performance.

Implemented AI safety practices and guardrails to ensure ethical and responsible AI usage.

• Experience with ecommerce, billing and fulfillment systems are big pluses
• Some experience with React is a plus