AI Engineer
WFA Digital Insight
As the demand for AI and machine learning expertise continues to surge, roles like the AI Engineer at fastino.ai have become essential in shaping the future of technology. With major companies actively seeking to enhance their capabilities through specialized AI, candidates with strong skills in LLMs are in high demand. Fastino.ai stands out by not only attracting talent from prestigious backgrounds but also by being at the forefront of open-source AI development. Prospective applicants should be prepared to showcase their hands-on experience and innovative thinking, as they step into a rapidly evolving landscape that favors experience in production-ready AI systems.
Job Description
About the Role
Join fastino.ai as an AI Engineer to work on innovative LLM technology, enhancing model architectures for enterprise solutions.Responsibilities
- Design and deploy high-performance agentic systems
- Collaborate with teams to turn architectural breakthroughs into scalable solutions
- Prototype AI functionalities and refine model performance based on real-world feedback
- Ensure the stability and throughput of inference pipelines for optimal performance
- Architect data strategies to improve model precision and reliability
Requirements
- Minimum 2 years of experience in AI/ML engineering
- Proficiency with LLMs and experience in solving unstructured problems
- Skills in prompt engineering, vector DB tuning, Kubernetes deployment, and API design.
Nice to Have
- Experience building microservices for high-concurrency workloads
- Familiarity with GLiNER or similar architectures
Benefits
- Work with a talented team from top tech companies
- Engage in pioneering projects with significant real-world impact
- Contribute to an environment that values innovation and collaboration.
How to Stand Out
- Highlight your experience with LLMs and any specific projects you've worked on.
- Showcase your problem-solving skills in your resume by detailing examples of overcoming complex challenges.
- Prepare for technical interviews by practicing common AI/ML engineering problems and discussing your approach.
- Familiarize yourself with Fastino’s AI products and be ready to discuss how you can contribute to their development.
- Demonstrate your understanding of AI deployment processes, particularly around Kubernetes and microservices.
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