Design, build and integrate scalable and reliable backend systems based on business and product requirements.
Identify and resolve bottlenecks, bugs, and operational issues.
Drive improvements in scalability, performance, reliability, observability, and cost optimization.
Create prototypes and proof-of-concepts for new products and features and do POC to validate new AI initiatives.
Take complete ownership of projects from design through deployment and production support.
Collaborate closely with Product Managers, Business Analysts, QA teams, and other engineering teams.
Lead the establishment and evolution of Sun King's AI Engineering capabilities, including architecture, tooling, development standards, and best practices.
Define and drive the AI technology stack, ensuring scalable, secure, reliable, and cost-effective adoption of AI across engineering and business workflows.
Architect systems that combine LLMs, retrieval systems, business logic, databases, APIs, and operational tooling.
Evaluate emerging AI technologies, frameworks, and models, and provide technical direction on their adoption and integration within the organization.
Mentor and guide engineers on backend architecture, AI system design, and implementation best practices, fostering AI expertise across the team.
Requirements
Strong experience in designing and developing scalable REST-based micro-services and APIs using Java (Spring Boot) and Python.
Strong experience with SQL, database design, and query optimization.
Experience working with AWS services such as EC2, RDS and Lambda.
Hands-on experience building AI-powered applications or workflows in production environments.
Practical understanding of Retrieval-Augmented Generation (RAG) architectures and their application to business problems.
Experience designing and building AI agents, copilots, workflow assistants, or intelligent automation systems.
Understanding of tool-calling, context management, prompt design, structured outputs, and hallucination mitigation techniques when integrating LLMs with business Systems, APIs and databases.
Ability to design end-to-end AI-powered solutions that combine deterministic systems with LLM-driven reasoning.
Prior experience mentoring engineers and leading technical initiatives.
Tech Stack
AWS
EC2
Java
Python
Spring
Spring Boot
SpringBoot
SQL
Benefits
Professional growth in a dynamic, rapidly expanding, high-social-impact industry
An open-minded, collaborative culture made up of enthusiastic colleagues who are driven by the challenge of innovation towards profound impact on people and the planet.
A truly multicultural experience: you will have the chance to work with and learn from people from different geographies, nationalities, and backgrounds.
Structured, tailored learning and development programs that help you become a better leader, manager, and professional through the Sun King Center for Leadership.