Stateside
B2B • SaaS • HR Tech
Stateside is a company that specializes in sourcing, hiring, and managing top nearshore technical talent. With a focus on providing high-quality staffing solutions, they help businesses scale their tech teams efficiently and cost-effectively. Stateside is recognized for its quick time to hire and low attrition rates, offering services that include full-stack development, project management, and various engineering roles. They aim to facilitate smooth collaboration through cultural alignment and real-time integration of dedicated teams.
AI Engineer
Job not on LinkedIn
April 25
Stateside
B2B • SaaS • HR Tech
Stateside is a company that specializes in sourcing, hiring, and managing top nearshore technical talent. With a focus on providing high-quality staffing solutions, they help businesses scale their tech teams efficiently and cost-effectively. Stateside is recognized for its quick time to hire and low attrition rates, offering services that include full-stack development, project management, and various engineering roles. They aim to facilitate smooth collaboration through cultural alignment and real-time integration of dedicated teams.
📋 Description
• We are seeking a dynamic AI Engineer to help design and deploy cutting-edge artificial intelligence systems that drive innovation and automation across our platforms. • This role bridges the gap between data science and software engineering, requiring expertise in developing, integrating, and optimizing AI-powered solutions. • Design and develop AI systems and intelligent applications, leveraging deep learning, NLP, and computer vision. • Collaborate with cross-functional teams to identify business problems solvable through AI. • Build production-ready APIs that expose AI capabilities across platforms. • Integrate AI solutions into mobile, web, or enterprise software stacks. • Research and experiment with generative AI (LLMs, GANs), reinforcement learning, and other advanced techniques. • Optimize inference performance and latency using quantization, pruning, or ONNX. • Maintain AI systems through continuous evaluation, retraining, and performance tuning. • Develop reusable AI components and tools that accelerate engineering velocity.
🎯 Requirements
• Bachelor’s or Master’s degree in Computer Science, AI, Electrical Engineering, or related discipline. • 3–6+ years of experience delivering AI/ML models into production systems. • Strong programming skills in Python and familiarity with C++, Java, or Go. • Proficiency with AI/ML libraries like TensorFlow, PyTorch, Hugging Face Transformers, OpenCV. • Experience building RESTful APIs and microservices that expose AI logic. • Familiarity with AI model lifecycle tools like MLflow, Triton Inference Server, ONNX Runtime. • Experience deploying AI solutions to cloud platforms (Azure, AWS, GCP).
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