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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior AI Engineer (AI/ML): Designing, building, and deploying production AI/ML systems, including models, data pipelines, training workflows, and agentic systems, with an accent on reliability, performance, scalability, and responsible AI. Focus on building RAG pipelines, evaluating and observing LLM applications, optimizing token costs, and delivering cloud-native systems with AWS, Docker, and Kubernetes.
Location: Colombia — Remote
Company
Robots & Pencils is an applied AI engineering firm building and deploying AI co-workers and production digital solutions for enterprise clients.
What you will do
Design, implement, optimize, and deploy AI/ML models and generative AI systems from concept through production.
Build data pipelines, training workflows, RAG pipelines, APIs, and agentic systems.
Maintain production AI systems by monitoring drift, debugging issues, and improving reliability and scalability.
Contribute to AI architecture, design discussions, code reviews, and long-term technical decisions.
Collaborate with product, engineering, and data teams to align AI systems with business goals.
Support junior engineers and communicate technical trade-offs and model behavior to non-specialists.
Requirements
4+ years of professional software engineering experience, including 2+ years focused on production AI/ML systems.
Hands-on generative AI development experience and proven ability to design and ship agentic systems.
Strong software engineering background with Python or a similar language.
Working knowledge of cloud platforms, preferably AWS services and AWS generative AI offerings.
Experience with AI frameworks, orchestration tools, evaluation frameworks, LLM observability, and AI safety.
Experience with prompt-injection defenses, PII handling, vector databases, Docker, Kubernetes, APIs, and AI coding tools such as Claude Code and Cursor.
Nice to have
Experience optimizing token economics through caching, model routing, and quantization.
Experience working with enterprise AI systems and complex technical challenges.
Culture & Benefits
Work on production-ready AI systems for real-world enterprise operations.
Collaborate with experienced architects and senior engineers; teams average more than 15 years of experience.
Access specialized AWS training, emerging cloud capabilities, and advanced engineering resources through AWS partnerships.
Gain hands-on exposure to complex problem-solving with North American clients.
Work in an environment emphasizing ownership, direct feedback, engineering craft, and continuous learning.
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