Full-Time
Senior Software Engineer
Updated on 5/4/2024
AI-powered platform for audit and advisory
Senior
San Francisco, CA, USA
Required Skills
Python
UI/UX Design
React.js
Tensorflow
Keras
Postgres
TypeScript
AWS
Natural Language Processing (NLP)
Development Operations (DevOps)
Requirements
- 5+ years of engineering experience
- Excitement for product-focused application of ML/AI - this will be a production-focused role
- Understanding of ML concepts like supervised/unsupervised/self-supervised learning, neural networks and deep learning
- Understanding of modern ML/AI technologies, including natural language processing (NLP) and LLMs (e.g., GPT-3+, open source models, etc.), RAG architectures, and their applications
- Exceptional technical proficiency with at least one programming language, particularly Python or TypeScript
- Experience architecting systems and data pipelines that can handle the ingestion, digitalization, storage, and retrieval of document-heavy data sets, including document processing, search, and classification
- Experience in developing, testing, evaluating and deploying ML models
- Collaborating on all aspects of product strategy and UX
- Experience shaping an early stage tech stack and product, and engineering organization
- Experience training, fine-tuning, and deploying LLMs
- Familiarity with ML frameworks and tools such as TensorFlow, PyTorch, Keras, scikit-learn
- Familiarity with modern web tech stacks consisting of several of the following: TypeScript, React, GraphQL, NodeJS, Hasura, Postgres, Python, and AWS
- Experience with cloud computing platforms like AWS
- Experience with DevOps and continuous integration/delivery best practices
Responsibilities
- Be an essential technical contributor at a seed-stage company as it scales.
- Play a leadership role on the end-to-end development of features, specifically in regards to making architectural decisions and trading off different approaches.
- Bring a mindset of continuous improvement to your work. You’ll be responsible for making our technology and processes better over time.
- Understand how to optimize for iteration speed while maintaining a high quality bar and technical rigor.
Fieldguide provides an AI-powered Advisory Services platform tailored for audit and advisory firms, streamlining engagement lifecycles for various frameworks such as SOC 2, PCI, HITRUST, and ISO. Leveraging Artificial Intelligence and Cloud technologies, the platform digitizes the end-to-end workflow, ensuring visibility, consistency, and control across all client engagements.
Company Stage
Series B
Total Funding
$50.2M
Headquarters
San Francisco, California
Founded
2020
Growth & Insights
Headcount