Software Engineer

August 27, 2026
Application ends: November 26, 2026
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Job Description

Responsibilities

  • Deliver measurable improvements in performance, reliability, and intelligence by building modern, scalable full stack solutions with integrated AI capabilities
  • Embed AI-first thinking across system design and development, leveraging LLMs, agentic frameworks, and AI-assisted tools to enhance product functionality and engineering productivity
  • Define and drive adoption of architecture standards, including scalable AI patterns and responsible guardrails to ensure interoperability, security, and future readiness
  • Modernize the technology stack and development practices to improve engineering velocity, scalability, and code quality through automation, CI/CD, and emerging tools
  • Strengthen system resilience and uptime through proactive dependency management, observability, fault tolerance, and intelligent monitoring
  • Lead technical direction and cross-team alignment by promoting best practices, enabling data-driven experimentation, and translating complex trade-offs into clear decisions
  • Systems are more stable, scalable, and intelligent, with improved automation and reduced manual intervention with AI capabilities thoughtfully integrated into engineering workflows, driving measurable efficiency gains
  • Engineering teams are aligned on architecture, including AI patterns and guardrails, reducing risk and increasing speed of delivery
  • Cross-team initiatives are delivered predictably in complex, interdependent environments, with clear technical direction
  • You actively mentor and support teams through structured forums, creating opportunities to share knowledge, elevate technical understanding, and build stronger cross-functional alignment

What We Are Looking For

  • 12+ years of delivering high-impact backend or full stack systems / enterprise software
  • Demonstrated ability to design, apply, and scale AI/ML systems within software products and development lifecycles
  • Experience working with or implementing LLMs, agentic frameworks, and model evaluation practices
  • Solid understanding of AI system design trade-offs, with the ability to define architecture patterns and establish responsible AI guardrails
  • Experience leveraging AI tools to enhance personal and team productivity, bringing an AI-first mindset to development and problem-solving
  • Experience leading technical direction as a team or technical lead and influencing architecture and strategy across multiple development teams
  • Expertise in unit testing, system design, and reliability engineering
  • In depth understanding of domain-driven design and system interdependencies
  • Experience working in agile environments with excellent communication and collaboration skills
  • Hands-on and willing to dive deep into complex problems, partnering with teams to diagnose root causes, navigate ambiguity, and drive practical, scalable solutions

Are you interested in this position?
Apply by clicking on the ā€œApply Nowā€ button below!
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