remote
Applied AI Engineer - Quantifind
AI Engineer
Build end‑to‑end AI‑powered applications, from data pipelines to front‑end interfaces, using Python, LLMs, and cloud services while collaborating directly with clients and cross‑functional teams.
About the role
Key Responsibilities
- Design, develop, and ship prototype AI applications that integrate large language models across backend, frontend, and data layers.
- Implement rapid‑iteration workflows, including prompt engineering, model fine‑tuning, and multi‑agent orchestration.
- Build and maintain cloud‑native infrastructure (AWS) for scalable inference, data storage, and CI/CD pipelines.
- Collaborate with clients and product teams to translate ambiguous business problems into technical solutions.
- Write clean, production‑ready code in Python and modern full‑stack frameworks, and conduct code reviews.
Requirements
- Strong proficiency in Python and experience with machine‑learning libraries (e.g., PyTorch, TensorFlow, Hugging Face).
- Hands‑on experience building and deploying LLM‑based systems, including prompt design and model evaluation.
- Solid understanding of cloud platforms (AWS) and containerization/orchestration tools.
- Full‑stack development skills (REST APIs, React or similar front‑end frameworks) to deliver end‑to‑end prototypes.
- Excellent communication, self‑driven mindset, and ability to thrive in ambiguous, fast‑paced environments.
Skills
pythonmachine learning