Seeking a hands-on AI Native Software Engineer to design, build, and deploy scalable, production-grade AI-driven systems in enterprise environments.
Responsibilities include developing AI agents (Retrieval, Orchestration, Tool invocation), integrating AI platforms (OpenAI, Google Vertex, open-source models), and creating multi-model abstractions.
Develop cloud-native services using microservices, containers, serverless, and CI/CD pipelines, ensuring monitoring, fault tolerance, and performance optimization.
The role involves building AI-powered applications, integrating with existing platforms, and defining testing strategies.
Requires 8–10+ years of software experience, expertise in cloud-native architectures, AI/LLM deployment, and proficiency in backend languages like Python or Java.
Preferred experience includes agent frameworks, multi-agent systems, enterprise integration, and workload optimization.
This is a hands-on engineering role focused on delivering high-quality code within existing standards, collaborating with teams, and participating in technical design discussions.