AI Engineer
- Design and implement models that seamlessly integrate advanced AI technologies into our products.
- Collaborate with product and engineering teams to translate business goals into scalable, effective AI solutions.
- Work closely with other AI teams across R&D to build and maintain a unified AI strategy.
- Drive innovation by staying current with the latest advancements in AI and applying them to real-world use cases.
- Enhance the performance, scalability, and reliability of AI-powered services in a production environment.
- Mentor peers and contribute to a collaborative, knowledge-sharing team culture.
- Review production prompts for problems and potential improvements.
- Help evaluate evolving AI-based tools from other members of the Research team.
- Stay informed about new advances in AI Engineering.
- Python development experience (3+ years)
- Experience writing Python backend APIs (e.g. Flask or FastAPI)
- Experience writing Python packages
- Source control experience (git)
- Writing clear, documented, easy to maintain code
- Experience with CI/CD and Python test suites (e.g. pytest)
- Experience using generative models, prompting and testing at scale
- Familiarity with best practices in AI Engineering, to include differences in prompts between major LLM vendors.
- Ability to develop and maintain good working relationships with cross-functional teams.
- Ability to clearly communicate and present to internal and external stakeholders.
- NLP/Deep learning experience (e.g. huggingface, spaCy)
- Deep learning framework experience (preferably PyTorch)
- MLOps experience (e.g. data and model versioning, model deployment CI/CD, MLFlow/DVC)
- Some basic devops experience useful (kubectl, helm, etc.)
- Cloud platform experience, especially from an ML standpoint (AWS preferred)
- Statistical testing experience
- Basic AWS resource management, including microservice deployment.
- Experience with AWS Bedrock
- Experience with C#
- Containerization via Docker.
- Awareness of basic data science and generative AI methods.
- Exposure to generative AI application frameworks like LangChain, LlamaIndex, SmolAgents and griptape.
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