Job Description
Agile Engine 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 g RPC-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.,
Mongo DB );
- Experience with vector databases (e.g.,
Milvus );
- Demonstrable experience in building scalable AI inferencing systems.
PERKS AND BENEFITS
-
Professional growth:
Mentorship, Tech Talks, 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.
