Senior Software Engineer, AI
Company
FiscalNote
Location
Remote
Type
Full Time
Job Description
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What To Expect In This Position
- Design and contribute to high-compute and volume data pipelines. FiscalNote is massively data-driven. We have teams working across our data pipeline from ingestion/scraping to data engineering/ML to search before it is made available to our users. Managing this dataflow and finding ways to validate our data and optimize it is essential to our success.
- Integrate data/functionality across multiple software solutions. Deeply integrating our products, finding synergies and opportunities across multiple existing solutions, and building out new global services will solidify our positioning as an end-to-end offering.
- Push the limits of what it means to search. The kind of information our clients need and want access to, what is and isnât important, is constantly evolving. Not only do they want more, they also want better. We need to be able to tell our customers more than âhere is what youâre looking forâ â we also want to be able to say âand this is why it matters.â
- Build web application functionality in Python/FastAPI and React/Next.js.
- Work with and integrate the latest Generative AI and LLM technologies.
- Work across teams to ensure cohesion and collaboration across R&D functions (Engineering, Product, QA, Data, etc.)
- Mentor other engineers on software development best practices
- Create experiences for demanding end users by applying your knowledge to deliver a world-class user experience
- Respond to QA, client success, and customer support requests to provide excellent customer service
What Sets You Apart
- 5+ years of applied experience or equivalent in the software development industry using a modern tech stack (we use Python/FastAPI, React/Next.js,, etc.)
- Working knowledge of production and Cloud environments (we use AWS, Linux/Unix, Bash, nginx, etc.)
- Familiarity with common storage implementations (we use Mongo primarily, but also connect to Postgres, Elasticsearch, Redis, etc.)
- Demonstrated experience building successful working relationships with Product + UI/UX teams
- Experience working on projects from inception to completion
- Architecture design and production decision-making experience (preferred)
- Comfortable presenting to technical and non-technical audiences
- Familiarity with Generative AI and LLM technologies and concepts
- Technically curious, eager to learn, willing, and interested in trying new technologies
Date Posted
12/19/2024
Views
0
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