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.

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.

AI Engineer

Key skills