Job location: Remote
About the role:
The Senior Software Engineer - Backend will join the Digitization and Automation team to design, develop, and implement scalable technology solutions that solve a wide variety of business problems across the organization
This role is primarily focused on backend engineering, requiring strong software engineering fundamentals, system design expertise, and complete ownership of business-critical applications. Additionally, this position plays a key role in identifying, designing, and building AI-powered solutions to improve operational efficiency, automation, decision-making, and developer productivity across the organization
The ideal candidate combines strong backend engineering experience with practical experience building AI-powered applications, agents, copilots, retrieval systems, and workflow automations. This professional should be proficient in evaluating where AI adds business value, designing appropriate system architectures, and mentoring other engineers on AI-related engineering practices.
Backend Engineering
- 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 (POCs) for new products, features, and 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.
AI Strategy & Architecture
- Lead the establishment and evolution of 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, providing technical direction on their adoption and integration within the organization.
- Mentor and guide engineers on backend architecture, AI system design, and implementation best practices to foster AI expertise across the team.
Preferred Qualifications (Good to Have)
- Experience with messaging systems such as RabbitMQ, Kafka, or Amazon SQS.
- Experience with containerized deployments using Docker and Kubernetes.
- Experience building retrieval systems, semantic search, or knowledge assistants.
- Familiarity with agent frameworks and orchestration platforms.
- Experience integrating AI systems with enterprise applications, operational tooling, or internal platforms.
- Experience working with vector databases and embeddings.
- Experience building internal developer productivity or operational automation tools.
- Exposure to Model Context Protocol (MCP) or similar tool integration patterns.
- A strong interest in emerging technologies and a commitment to continuous learning and experimentation
Core Backend Engineering
- Strong experience in designing and developing scalable REST-based microservices 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.
Applied AI & Automation
- 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 effectively combine deterministic systems with LLM-driven reasoning.
Leadership & Collaboration
- Prior experience mentoring engineers and leading technical initiatives
- 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.