Artificial Intelligence Engineer

This range is provided by Accelero. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Direct message the job poster from Accelero Location: Fully remote We're looking for an experienced full‑stack developer with AI expertise to design and deploy end‑to‑end intelligent systems. You'll own features from UI to model deployment and develop solutions that deliver AI capabilities to end users in AWS environments. This role is perfect for someone with expertise in open‑source, API development, fine‑tuning LLMs, and integrating AI into scalable applications. If you thrive in an AI‑driven development environment, enjoy working on cutting‑edge retrieval models, and have a passion for optimizing LLM performance, we want to hear from you. What You'll Do Design and implement full‑stack AI‑powered applications from frontend to model serving Build intuitive user interfaces Develop scalable backend systems using Python and Go for model inference, data pipelines, and API services Develop sophisticated prompt engineering strategies for LLM‑based features, including few‑shot learning, chain‑of‑thought reasoning, and retrieval‑augmented generation Optimize models for specific use cases and performance requirements Design and optimize database schemas for relational database Collaborate with stakeholders to translate business requirements into technical solutions What We're Looking For 2+ years of professional full‑stack development experience with AI/ML systems Strong engineering skills across frontend and backend technologies Proficiency with modern frontend frameworks (React, Vue, Angular) and TypeScript Backend experience with Python, including API design (REST) Hands‑on experience deploying LLMs, transformers, or other neural networks Proven experience with prompt engineering techniques and LLM optimization Experience with ML frameworks (PyTorch/TensorFlow) and model serving Proficiency with relational databases and AWS (PostgreSQL/MySQL) AWS experience on basic services (ECS, S3, etc.) Experience with containerization (Docker) and orchestration Understanding of model evaluation metrics and experimental design If interested, please apply with your latest CV. Sponsorship unfortunately, isn’t available for this role. Seniority level Mid‑Senior level Employment type Full‑time Job function Information Technology. Industries: Technology, Information and Media and Information Services. #J-18808-Ljbffr