Software Engineer

hace 1 día

Buenos Aires, Buenos Aires C.F., Argentina AgileEngine A tiempo completo
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 Senior Software Engineer, you'll accelerate a high-priority AI initiative by strengthening a fully distributed, microservices-based platform that demands fast execution and high reliability. You'll focus on hands-on implementation, system resiliency, and observability while collaborating across global time zones. This role offers direct influence on a cutting-edge AI system and the chance to grow your impact in a highly technical, fast-moving 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
  • 6-8 years of professional software development;
  • High proficiency in Golang;
  • Kubernetes: Strong, hands-on experience with Kubernetes;
  • Microservices: Proven experience building and maintaining microservices architectures with a focus on scalability, reliability, and resiliency;
  • Observability: Good knowledge of enterprise observability frameworks, including Prometheus and Grafana;
  • Communication: Very strong English communication skills;
  • Ramp-up: Ability to learn and debug complex systems quickly;
  • Upper-intermediate English level.
NICE TO HAVES
  • RAG: Familiarity with Retrieval-Augmented Generation (RAG) models;
  • Databases: Experience with document databases (e.g., MongoDB);
  • VectorDBs: Experience with vector databases (e.g., Milvus) is a significant plus;
  • AI Systems: Demonstrable experience in building scalable AI inferencing systems.
PERKS AND BENEFITS
  • Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
  • A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
  • Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. 

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