Senior Software Engineer, Coalition

• If you are passionate about building platforms that combine engineering excellence with the power of modern artificial intelligence, we invite you to join the AI Platform Engineering team and help shape the future of data-driven innovation at Coalition
• API and Service Development in Python and/or Go: Demonstrated experience designing, building, and maintaining scalable APIs and backend services using Python or Go
• AI Platform & Agentic System Experience: Hands-on experience developing platforms or orchestration systems leveraging LLMs, knowledge bases, or AI agents, and integrating with third-party AI/ML libraries or services
• Cloud-Native Engineering: Proven understanding of deploying and operating cloud-native applications (AWS, GCP, or Azure), including hands-on use of containers, orchestration (Kubernetes), scalability, monitoring, and security fundamentals (e.g., OWASP guidelines)
• Automation & Data Integration: Familiarity with data processing, workflow orchestration, or automation tools commonly used in Data Science, Analytics, or Agentic AI environments
• Source Control: Proficiency with source control systems such as Git, and experience with modern code collaboration platforms (e.g., GitHub, GitLab)
• Testing & Quality Assurance: Experience with automated unit, integration, and performance testing, especially in distributed systems or data-centric applications
• Agile Team Collaboration: Proven track record of collaborating in Agile environments, using tools like Jira, Confluence, or similar, and experience in cross-team or cross-functional settings
• System Design & Documentation: Ability to design complex systems and communicate solutions clearly in both technical documentation and discussions
• Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field; or equivalent industry experience delivering enterprise or research-grade backend software

Desirable

• The AI Platform Engineering team is a pioneering group dedicated to creating the next generation of intelligent, adaptable systems that will transform our organization's data and analytics landscape
• Our mission is to architect and deliver a highly scalable platform featuring a Knowledge Base, LLM (Large Language Model) Orchestration, Guardrails Service, Evaluation Framework, and Agentic AI agents
• As a Senior Backend Engineer on this team, you will play a central role in shaping an end-to-end AI infrastructure that empowers a wide range of business functions—from real-time knowledge retrieval and automated decision-making, to advanced safety mechanisms and rigorous model evaluation
• Through robust engineering, cutting-edge orchestration, and thoughtful system design, you will enable the platform to deliver intelligent, reliable, and ethical AI-powered experiences for users across diverse domains
• Collaborating with data scientists, product managers, and fellow engineers, you will design and implement backend services that are secure, resilient, and performant at scale
• Your work will enable rapid experimentation, continuous evaluation, and seamless integration of the latest AI technologies, ensuring our solutions stay ahead in a fast-evolving landscape
• This is a rare opportunity to have a foundational impact on our AI capabilities and to help define the standards for transparency, safety, and performance in production AI systems
• Architect, implement, and optimize robust APIs and backend services supporting core AI platform components such as Knowledge Base, LLM orchestration, Guardrails, and evaluation frameworks
• Design, document, and deploy scalable application interfaces and data models that enable reliable and efficient access and orchestration of AI services
• Develop and maintain AI Agents to drive automation across Data Analytics, Data Science, and other Agentic Orchestration initiatives within the organization
• Partner with cross-functional teams—including data science, product management, and platform engineering—to break down complex technical and business requirements into actionable development plans
• Collaborate with other engineering teams across the organization to power AI-driven agentic experiences and automation, ensuring consistent standards and seamless integration
• Collaborate closely with Site Reliability Engineers (SREs) to ensure the platform meets the highest standards of availability, observability, and operational excellence throughout the software lifecycle
• Proactively drive the adoption of best practices in API security, model evaluation, and safe/ethical AI usage across the platform
• Continuously raise the bar by addressing unforeseen challenges, driving process improvements, and contributing to the development culture and success of the AI Platform Engineering team