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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