- Company Name
- 9fin
- Job Title
- Senior AI Engineer
- Job Description
-
Job Title: Senior AI Engineer
Role Summary:
Lead the design, development, and deployment of large‑scale AI systems within the debt capital markets domain. Focus on generative AI, NLP, information retrieval, and LLMs to create applications that streamline financial and legal workflows. Act as a technical mentor and champion AI adoption across multiple product teams.
Expections:
- Advanced Python programming for production systems.
- Expert knowledge of the generative AI ecosystem, including agentic frameworks.
- Hands‑on experience with NLP, IR stacks, and LLM development.
- Comprehensive model lifecycle mastery: experimentation, training, testing, monitoring, and deployment.
- Proficiency with AWS AI/ML infrastructure (SageMaker, Bedrock, etc.).
Key Responsibilities:
- Design and build generative AI solutions tailored to complex financial and legal use cases.
- Lead end‑to‑end model development, ensuring reproducible research and rigorous best practices.
- Collaborate cross‑functionally to translate business problems into scoped, testable AI bets.
- Mentor teammates and promote AI literacy across engineering, product, and research groups.
- Iterate on models with a fail‑fast mentality, applying cutting‑edge research to deliver rapid improvements.
- Own model monitoring, performance evaluation, and efficient deployment pipelines.
- Advocate and drive AI adoption throughout the organization.
Required Skills:
- Python (production‑grade code, libraries such as PyTorch/Transformers).
- Generative AI and agentic framework architectures.
- NLP, IR, LLMs, and large‑scale data processing.
- End‑to‑end machine learning lifecycle: experimentation, training, testing, monitoring, deployment.
- AWS AI/ML services (SageMaker, Bedrock, Lambda, CloudFormation).
- Strong software engineering practices (version control, CI/CD, testing).
- Excellent communication and mentorship abilities.
Required Education & Certifications:
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Data Science, or a related field.
- Optional certifications: AWS Certified Machine Learning – Specialty, AWS Certified ML – Developer, or equivalent AI/ML credentials.