remote
AI Engineer - Budgetly
AI Engineer
AI Engineer building an AI‑first delivery platform for expense management, leveraging Python, Machine Learning, NLP and AWS to create agentic tools that accelerate engineering workflows.
About the role
Key Responsibilities
- Design, develop and deploy AI models that power agentic engineering features for expense management workflows.
- Integrate OpenAI and other LLM APIs, fine‑tune embeddings, and build NLP pipelines to interpret user intent and automate data extraction.
- Collaborate with backend and frontend teams to embed AI services into a cloud‑native platform on AWS.
- Implement CI/CD pipelines, containerize services with Docker, and monitor model performance in production.
- Iterate on user feedback, conduct A/B tests, and continuously improve model accuracy and latency.
Requirements
- 3+ years of software engineering experience with Python and ML frameworks (PyTorch, TensorFlow).
- Hands‑on experience with LLMs, OpenAI API, and NLP techniques.
- Proficiency in AWS services (SageMaker, Lambda, ECS) and container orchestration.
- Strong problem‑solving skills and ability to work independently in a remote setting.
- Excellent communication skills and a passion for building AI‑first products.
Skills
pythonmachine learningawsnlp