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.
Competitive compensation: USD‑based pay with education, fitness, and team activity budgets.
Exciting projects: Modern solutions with Fortune 500 and top product companies.
Flextime: Flexible schedule with remote and office options.
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