AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE We are looking for a Senior Software Engineer to join a high-impact AI initiative, driving the evolution of a distributed, microservices-based platform powered by Golang and Kubernetes. This role plays a critical part in accelerating delivery while enhancing system reliability and observability within a complex, globally distributed environment. You’ll help shape a scalable AI system and collaborate across time zones in a culture that values ownership, speed, and technical excellence.
WHAT YOU WILL DO - Develop and enhance features for a scalable, microservices-based AI platform; - Focus on implementation and execution to meet strict delivery timelines; - Improve system reliability, resiliency, and scalability; - Work with observability tools to monitor and debug the distributed system; - Collaborate closely with a team distributed across US and India time zones. MUST HAVES - 3+ years of professional software development experience ; - High proficiency in Golang ; - Strong, hands-on experience with Kubernetes ; - Proven experience building and maintaining microservices architectures with a focus on scalability, reliability, and resiliency; - Very strong English communication skills; - Strong experience designing and implementing HTTP/REST and gRPC-based services , including API design, Protocol Buffers, streaming, and authentication; - Ability to learn and debug complex systems quickly; - Upper-intermediate English level. NICE TO HAVES - Good knowledge of enterprise observability frameworks, including Prometheus and Grafana ; - Familiarity with Retrieval-Augmented Generation (RAG) models; - Experience with document databases (e.g., MongoDB ); - Experience with vector databases (e.g., Milvus ); - Demonstrable experience in building scalable AI inferencing systems.
PERKS AND BENEFITS - Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
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