Senior Ai/ml Engineer (Costa Rica)
Senior Ai/ml Engineer (Costa Rica)
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Costa Rica, Colombia
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Publicado: hace menos de una semana
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Descripción
REMOTE-
- ARGENTINA-
- CHILE-
- COLOMBIA-
- COSTA RICA-
- MEXICO
- October 23, 2025- REQUIREMENTS:- A Bachelor's degree in Computer Science, Engineering, or a related technical field with 6+ years of professional experience; or a Master's degree with 4+ years of professional experience in backend software engineering and Generative AI. It must include a proven track record of designing, building, and scaling distributed, production-grade systems.
- Strong knowledge of Python, a major backend framework (e.g., FastAPI, Flask), and asynchronous programming (e.g., asyncio). Deep understanding of designing RESTful APIs, microservices, and the complete operational lifecycle, including comprehensive testing, CI/CD (e.g., ArgoCD), observability, monitoring, alerting, maintaining high uptime, and executing zero-downtime deployments.
- Experience designing and implementing robust evaluation frameworks for LLM-based systems, including rubric-based scoring, LLM Judges, or using tools like MLflow, alongside monitoring performance and drift.
- Familiarity with large-scale data processing platforms and tools (e.g., Databricks, Apache Spark).
- Demonstrated ability to lead complex technical projects and foster the growth of other engineers.- RESPONSIBILITIES:- Design, build, and operate scalable, low-latency backend services and APIs that serve Generative AI features, from retrieval-augmented generation (RAG) pipelines to complex agentic systems.
- Continuously improve retrieval and generation quality through techniques like retrieval optimization (tuning k-values, chunk sizes), using re-rankers, advanced chunking strategies, and prompt engineering for hallucination reduction.
- Engineer solutions that seamlessly combine LLMs with the proprietary knowledge of repositories, external APIs, and real-time data streams to create powerful copilots and research assistants.
- Collaborate with data science and engineering teams to establish and implement best practices for LLMOps, including Postúlate en Kit Empleo: kitempleo.com.co/empleo/1at7xf
- ARGENTINA-
- CHILE-
- COLOMBIA-
- COSTA RICA-
- MEXICO
- October 23, 2025- REQUIREMENTS:- A Bachelor's degree in Computer Science, Engineering, or a related technical field with 6+ years of professional experience; or a Master's degree with 4+ years of professional experience in backend software engineering and Generative AI. It must include a proven track record of designing, building, and scaling distributed, production-grade systems.
- Strong knowledge of Python, a major backend framework (e.g., FastAPI, Flask), and asynchronous programming (e.g., asyncio). Deep understanding of designing RESTful APIs, microservices, and the complete operational lifecycle, including comprehensive testing, CI/CD (e.g., ArgoCD), observability, monitoring, alerting, maintaining high uptime, and executing zero-downtime deployments.
- Experience designing and implementing robust evaluation frameworks for LLM-based systems, including rubric-based scoring, LLM Judges, or using tools like MLflow, alongside monitoring performance and drift.
- Familiarity with large-scale data processing platforms and tools (e.g., Databricks, Apache Spark).
- Demonstrated ability to lead complex technical projects and foster the growth of other engineers.- RESPONSIBILITIES:- Design, build, and operate scalable, low-latency backend services and APIs that serve Generative AI features, from retrieval-augmented generation (RAG) pipelines to complex agentic systems.
- Continuously improve retrieval and generation quality through techniques like retrieval optimization (tuning k-values, chunk sizes), using re-rankers, advanced chunking strategies, and prompt engineering for hallucination reduction.
- Engineer solutions that seamlessly combine LLMs with the proprietary knowledge of repositories, external APIs, and real-time data streams to create powerful copilots and research assistants.
- Collaborate with data science and engineering teams to establish and implement best practices for LLMOps, including Postúlate en Kit Empleo: kitempleo.com.co/empleo/1at7xf
Información clave
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Nombre de la empresaSvitla Systems
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Nombre de la vacanteSenior Ai/ml Engineer (Costa Rica)
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