onsite
Gen AI Engineer - Dinero Solutions
AI Engineer
Lead the design and implementation of generative AI solutions to transform internal digital experiences, leveraging Python, NLP, and cloud services to deliver scalable, user‑centric applications.
About the role
Key Responsibilities
- Architect and develop end‑to‑end GenAI pipelines using Python, ensuring robust async workflows, type safety, and comprehensive unit testing.
- Collaborate with cross‑functional teams to translate business processes into AI‑driven digital experiences, enhancing collaboration and efficiency.
- Integrate NLP models and fine‑tune them for domain‑specific use cases, deploying solutions on AWS infrastructure with Docker containers.
- Maintain and optimize model performance, monitoring latency, accuracy, and resource utilization in production environments.
- Document architecture, code, and best practices, providing mentorship to junior engineers and fostering a culture of continuous improvement.
Requirements
- Proven experience in Python (async, typing, packaging, unit testing) and building production‑grade AI services.
- Strong background in NLP and generative AI frameworks (e.g., Hugging Face, OpenAI APIs).
- Hands‑on experience with Docker, Kubernetes, and AWS services (SageMaker, Lambda, ECS).
- Excellent problem‑solving skills and ability to translate complex business needs into technical solutions.
- Effective communication skills and a collaborative mindset for working with diverse stakeholders.