Senior AI Engineer for Large Language Models
1 week ago
Tecton Corporation is a leader in providing data platforms for AI applications. We're seeking an experienced Senior AI Engineer for Large Language Models to join our team.
About the CompanyTecton helps companies unlock the full potential of their data for AI applications, streamlining the process of preparing and delivering data to models. Our platform enables AI teams to accelerate the development of smarter, more impactful AI applications.
About the SalaryThe estimated US base salary range for this position is $189,000 - $258,000 annually, including comprehensive benefits such as medical, dental, vision, life, 401(K), flexible paid time off, 10 paid holidays each calendar year, sick time, leave of absence as per the FMLA and other relevant leave laws.
About the Job DescriptionThis role involves driving GenAI initiatives from ideation to delivery in a collaborative environment and partnering across cross-functional teams and Product Managers. The ideal candidate will have a proven track record of building, fine-tuning, and deploying machine learning or generative AI models in production environments.
- Work closely with the CEO/CTO to define and lead Tecton's GenAI strategy.
- Drive GenAI initiatives from ideation to delivery in a collaborative environment and partner across cross-functional teams and Product Managers.
- Identify, develop, and validate the most important end-to-end GenAI use cases in Tecton.
- Work closely with customers to launch impactful new capabilities at a rapid pace and close the gap for technical adoption of Tecton's GenAI capabilities.
- Take an experimental and iterative approach, prioritizing swift progress, and navigate through a high degree of ambiguity.
The successful candidate will have:
- A Bachelor's, Master's, or equivalent degree in Computer Science, Engineering, or a related field. A PhD is a plus, especially with a focus on AI/ML or Natural Language Processing (NLP).
- A minimum of 6+ years as a Machine Learning Engineer or Software Engineer specializing in machine learning infrastructure or GenAI applications.
- Proven proficiency in Python and familiarity with key libraries such as NumPy, pandas, scikit-learn, TensorFlow, PyTorch, or JAX/Flax.
- Hands-on expertise with deep learning frameworks, such as PyTorch or TensorFlow, and familiarity with libraries like Hugging Face Transformers for LLM development.
- Experience working with large language models (LLMs) such as GPT, BERT, Llama, or Claude, including fine-tuning, prompt engineering, and deploying LLMs in production.
- Proficiency in working with cloud platforms (AWS, GCP, Azure) for deploying ML/GenAI pipelines, including familiarity with services like S3, Lambda, SageMaker, Vertex AI, or equivalent.
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