Job Description
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
As a Golang Software Engineer, you'll build and scale a microservices-based AI platform, delivering high-performance systems that power intelligent, data-driven applications. You'll play a key role in improving reliability, observability, and system resilience while collaborating with a globally distributed team. This is an opportunity to work with cutting-edge AI systems, influence architecture decisions, and grow your expertise in cloud-native and scalable backend development in a fast-paced environment.
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
- 4+ years of professional software development experience;
- High proficiency in Golang;
- Proven experience building and maintaining microservices architectures with a focus on scalability, reliability, and resiliency;
- Very strong English communication skills;
- Ability to learn and debug complex systems quickly.
NICE TO HAVES
- Experience with automation testing using Python;
- Strong hands-on experience with Kubernetes;
- Strong experience designing and implementing HTTP/REST and gRPC-based services, including API design, Protocol Buffers, streaming, and authentication;
- Professional experience with Java;
- 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.
Meet Our Recruitment Process
It includes main stages:
ApplicationCoding ChallengeVideo InterviewTechnical Interview or Interview with the Hiring Manager(s).
Each step helps us understand your skills and overall fit.
If it's a match, you'll receive an offer.
