Job Overview
Location
Indiana, USA
Job Type
Full-time
Category
Machine Learning Engineer
Date Posted
February 18, 2026
Full Job Description
đź“‹ Description
- • Join Fastino AI Inc., a pioneering company at the forefront of developing the next generation of Large Language Models (LLMs). Our mission is to create specialized, efficient AI solutions that push the boundaries of what's possible. We are a dynamic team comprised of talented individuals with backgrounds from prestigious institutions and companies like Google Research, Apple, Stanford, and Cambridge. Our commitment to open-source innovation is evident in our GLiNER family of models, which have achieved over 5 million downloads and are actively utilized by industry leaders such as NVIDIA, Meta, and Airbnb. Fastino has secured significant funding, raising $25 million in our seed round, as highlighted in TechCrunch, and is backed by a distinguished group of investors including Microsoft, Khosla Ventures, Insight Partners, and prominent tech leaders like Github CEO Thomas Dohmke and Docker CEO Scott Johnston.
- • As an AI Engineer at Fastino, you will be instrumental in shaping the future of AI. You will innovate at the cutting edge of efficiency, focusing on the design and deployment of high-performance agentic systems. These systems will harness Fastino's uniquely optimized model architectures, engineered to surpass traditional LLM benchmarks in both performance and efficiency. Your work will directly contribute to bridging the critical gap between groundbreaking AI research and robust production-ready solutions. You will collaborate closely with our engineering teams, transforming novel architectural breakthroughs into scalable, low-latency applications tailored for our enterprise clientele.
- • This role demands a proactive and iterative approach to prototyping AI functionalities. You will be responsible for refining model performance and enhancing task accuracy by analyzing real-world telemetry data. This continuous feedback loop ensures that our specialized models consistently meet and exceed the rigorous standards expected by developers and end-users. A key aspect of your role will be to own the stability and throughput of our inference pipelines. This involves proactively identifying and resolving scalability bottlenecks, guaranteeing that our models deliver consistent, reliable performance even under immense operational loads and peak demand.
- • Furthermore, you will architect comprehensive, large-scale data strategies and fine-tuning methodologies. These strategies are essential for the continuous improvement of the precision, reliability, and domain-specific capabilities of the Fastino models. Your contributions will directly impact the evolution and effectiveness of our AI offerings, ensuring they remain at the pinnacle of the industry. You will engage in deep technical discussions, contribute to architectural design sessions, and mentor junior engineers, fostering a culture of learning and excellence. The opportunity to work with state-of-the-art AI technologies and contribute to impactful projects makes this a truly unique and rewarding position. You will be empowered to take ownership of critical components of our AI infrastructure and drive significant advancements in the field.
- • This role offers a unique opportunity to make a substantial impact in a fast-growing, well-funded startup environment. You will work on challenging problems with a team of world-class researchers and engineers, contributing to the development of AI that powers leading companies worldwide. Your work will not only advance the state of the art in AI but also directly influence the products and services used by millions. We encourage a collaborative spirit, where ideas are freely exchanged and innovation is paramount. You will have the autonomy to explore new approaches and the support to implement them, driving tangible results and shaping the future of AI.
- • Design, develop, and deploy advanced agentic AI systems leveraging Fastino's optimized LLM architectures.
- • Collaborate with research and engineering teams to translate cutting-edge AI research into scalable, production-ready solutions.
- • Optimize inference pipelines for high throughput, low latency, and robust stability under heavy load.
- • Develop and implement data strategies and fine-tuning techniques to enhance model precision and domain-specific performance.
- • Analyze real-world telemetry and performance metrics to iteratively improve AI functionalities and accuracy.
- • Contribute to the full stack of AI development, from prompt engineering and vector database tuning to Kubernetes deployment and API design.
- • Proactively identify and resolve performance bottlenecks in AI systems.
- • Ensure the reliability and consistency of AI model performance for enterprise customers.
- • Participate in architectural design discussions and contribute to the long-term technical roadmap.
- • Mentor junior engineers and foster a collaborative, innovative team environment.
- • Stay abreast of the latest advancements in LLMs, agentic AI, and related technologies.
- • Contribute to the open-source community through model development and documentation.
- • Work with cross-functional teams to understand customer needs and translate them into AI solutions.
- • Develop and maintain robust testing frameworks for AI models and systems.
- • Troubleshoot and debug complex AI system issues in production environments.
- • Contribute to the documentation of AI models, systems, and best practices.
- • Drive continuous improvement in AI model performance, efficiency, and scalability.
- • Engage in peer code reviews to maintain high code quality and share knowledge.
- • Contribute to the development of internal tools and infrastructure to accelerate AI development.
- • Ensure compliance with data privacy and security best practices in AI development.
🎯 Requirements
- • Minimum of 2 years of hands-on experience in AI/ML engineering roles.
- • Demonstrated proficiency with Large Language Models (LLMs) and a proven track record of applying AI/ML techniques to solve complex, unstructured problems.
- • Comfort working across the full technology stack, including prompt engineering, vector database tuning, Kubernetes deployment, and API design.
- • Strong programming skills in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face).
- • Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices.
- • Excellent problem-solving and analytical skills.
- • Strong communication and collaboration abilities.
- • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- • Optional: Experience building microservices that handle high-concurrency agentic workloads.
- • Optional: Familiarity with GLiNER or other information extraction architectures.
🏖️ Benefits
- • Competitive salary and equity package.
- • Comprehensive health, dental, and vision insurance.
- • Generous paid time off (PTO) and holidays.
- • Remote-first work environment with flexible hours.
- • Opportunities for professional development and continuous learning.
- • Access to cutting-edge AI research and technology.
- • Collaborative and innovative company culture.
- • Regular team-building events and virtual social activities.
- • Contribution to impactful open-source AI projects.
- • Relocation assistance (if applicable).
- • Parental leave.
- • 401(k) plan (if applicable).
- • Professional development budget.
Skills & Technologies
Docker
Kubernetes
GitHub
Data Science
Remote
About Fastino AI Inc.
Fastino AI is a technology company focused on developing advanced artificial intelligence solutions. Their core business revolves around creating and deploying AI-powered tools and platforms designed to automate complex processes and enhance decision-making across various industries. They specialize in areas such as machine learning, natural language processing, and computer vision, aiming to provide businesses with innovative ways to leverage data and improve operational efficiency. Fastino AI's offerings cater to clients seeking to integrate cutting-edge AI capabilities into their existing workflows, driving digital transformation and competitive advantage.
