Fastino Labs

Building the first foundational model for agent personalization.

AI Engineer

AI EngineerMachine Learning EngineerFull TimeRemoteTeam 11-50Company SiteLinkedIn

Location

United States

Posted

16 days ago

Salary

Not specified

2 yrs expEnglishKubernetesMicroservices

Job Description

• 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.

Job Requirements

  • Required:2+ years of hands-on experience in AI/ML engineering roles
  • Required: Demonstrated proficiency with LLMs and a track record of applying AI/ML techniques to solve complex, unstructured problems
  • Required: You are 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.
  • Optional: Familiarity with GLiNER or other information extraction architectures.

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