8 days ago
AI Engineer
Fastino Labs
Hybrid
Full Time
$220,000
Hybrid
Job Overview
Job TitleAI Engineer
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$220,000
LocationHybrid
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Job Description
Introduction
Join us at Fastino Labs 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. Fastino’s GLiNER family of open-source models has been downloaded more than 5 million times and is used by companies such as NVIDIA, Meta, and Airbnb. Fastino has raised $25M (as featured in TechCrunch) through our seed round and is backed by leading investors including Microsoft, Khosla Ventures, Insight Partners, Github CEO Thomas Dohmke, Docker CEO Scott Johnston, and others.
What You’ll Work On
- Innovate at the edge of efficiency by designing and deploying high-performance agentic systems that leverage Fastino’s optimized model architectures to outperform traditional LLM benchmarks.
- Bridge the gap between research and production by collaborating with engineering teams to turn novel architectural breakthroughs into scalable, low-latency solutions for enterprise customers.
- Drive rapid, iterative prototyping of AI functionalities, refining model performance and task-accuracy based on real-world telemetry to ensure specialized models meet rigorous developer standards.
- Own the stability and throughput of inference pipelines, proactively solving scalability bottlenecks to ensure models deliver consistent, reliable performance under massive operational loads.
- Architect large-scale data and fine-tuning strategies to continuously improve the precision and domain-specific reliability of the Fastino models.
What We’re Looking For
Required:
- 2+ years of hands-on experience in AI/ML engineering roles.
- Demonstrated proficiency with LLMs and a track record of applying AI/ML techniques to solve complex, unstructured problems.
- Comfortable working across the stack from prompt engineering and vector DB tuning to Kubernetes deployment and API design.
Optional:
- Experience building microservices that handle high-concurrency agentic workloads.
- Familiarity with GLiNER or other information extraction architectures.
Key skills/competency
- LLMs
- AI/ML Engineering
- Agentic Systems
- Inference Pipelines
- Scalability
- Data Architecture
- Fine-tuning
- Kubernetes
- API Design
- Prompt Engineering
How to Get Hired at Fastino Labs
- Research Fastino Labs' culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to understand their innovative approach to specialized AI and LLMs.
- Tailor your resume for AI Engineer: Highlight your 2+ years of AI/ML engineering experience, proficiency in LLMs, and full-stack capabilities (prompt engineering, Kubernetes, API design). Quantify achievements where possible.
- Showcase LLM expertise: Prepare to discuss your experience applying AI/ML techniques to complex problems and demonstrate your understanding of agentic systems and optimized model architectures during the interview process.
- Prepare for technical depth: Be ready to discuss challenges in inference pipeline stability, scalability, and architecting data/fine-tuning strategies relevant to advanced AI Engineer roles.
- Network strategically: Connect with current Fastino Labs employees on LinkedIn, especially those in engineering and research roles, to gain insights and potentially secure referrals.
Frequently Asked Questions
Find answers to common questions about this job opportunity
01What kind of LLM research does Fastino Labs focus on for the AI Engineer role?
02What are the core technical challenges for an AI Engineer at Fastino Labs?
03How does Fastino Labs support career growth for its AI Engineers?
04What is the typical interview process like for an AI Engineer at Fastino Labs?
05How important is open-source experience for the AI Engineer position at Fastino Labs?
06What specific AI/ML frameworks or languages are predominantly used by AI Engineers at Fastino Labs?
07How does Fastino Labs measure model performance and task-accuracy for its specialized models?
08What kind of enterprise customers will an AI Engineer support at Fastino Labs?
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