AI Engineer - Remote

Posted 5 days ago

Software Development

Full Time

USA

Overview

Join us at Fastino as we build the next generation of LLMs. Our team, boasting alumni from Google Research, Apple, Stanford, and Cambridge is on a mission to develop specialized, efficient AI.

In Short

Full-time remote position.
Work on designing and deploying high-performance AI systems.
Collaborate with engineering teams to turn research into production.
Drive rapid prototyping of AI functionalities.
Ensure stability and throughput of inference pipelines.
Architect data and fine-tuning strategies for model improvement.
2+ years of experience in AI/ML engineering required.
Proficiency with LLMs and AI/ML techniques is necessary.
Comfortable with full-stack development from prompt engineering to deployment.
Optional experience with microservices and GLiNER architectures.

Requirements

2+ years of hands-on experience in AI/ML engineering roles.
Demonstrated proficiency with LLMs.
Experience with prompt engineering and Kubernetes deployment.
Optional: Experience building microservices for high-concurrency tasks.
Optional: Familiarity with GLiNER or similar architectures.

Benefits

Work with a talented team from top tech companies.
Participate in innovative AI projects.
Flexible working hours.
Opportunity to contribute to open-source models.
Competitive salary and benefits.

fastino.ai

Fastino.ai is an innovative technology company focused on developing the next generation of large language models (LLMs). With a team comprised of experts from prestigious organizations such as Google Research, Apple, Stanford, and Cambridge, Fastino is dedicated to creating specialized and efficient AI solutions. Their GLiNER family of open-source models has achieved significant traction, with over 5 million downloads and usage by major companies like NVIDIA, Meta, and Airbnb. Backed by prominent investors including Microsoft and Khosla Ventures, Fastino has successfully raised $25 million in funding to further its mission of bridging the gap between AI research and practical applications.

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