Artificial Intelligence (AI), Continuous Improvement, Cross-Functional, Database Administration, Funding, Grant Administration/Management, Grant Writing, Machine Learning, Nonprofit, Process Improvement, Product Design, Production Systems, Python Programming/Scripting Language, Quality Management, Shallow Parsing, Software Engineering, Startup, Systems Maintenance, Systems Reliability, Systems Scalability, User Interface/Experience (UI/UX)
San Francisco, California
Software Engineer, AI/ML GenAI
- Title of Role: Software Engineer, AI/ML GenAI
- Location: San Francisco, on-site or remote
- Company Stage of Funding: Venture Round
- Office Type: On-site or remote
- Salary: $175K–$220K
Company Description
We're representing a dynamic platform focused on empowering nonprofits and grant writers to enhance their revenue streams. This company offers a personalized approach that allows grant seekers to discover, win, and manage their grants seamlessly in one integrated solution.
What You Will Do
- Design, develop, and scale production-ready AI features that enhance user experience and operational efficiency.
- Implement retrieval-augmented generation pipelines, ensuring robust ingestion, chunking, retrieval, and tuning processes.
- Collaborate with cross-functional teams to build user-facing features that address real customer challenges.
- Own the end-to-end lifecycle of features from ideation through to deployment, monitoring, and iteration.
- Evaluate model outputs and establish feedback loops to continuously improve AI quality and reliability.
- Utilize Python and vector databases to create efficient and scalable backend systems for AI applications.
Ideal Candidate Background
- 5–8 years of experience in software engineering with a strong emphasis on Python.
- Proven track record of building and deploying LLM-powered applications in production environments.
- Hands-on experience with vector databases and embeddings, demonstrating expertise in AI system reliability and performance.
- Ability to design complex backend systems with a focus on scaling and monitoring AI features.
- Experience working in fast-paced startup environments with a strong initiative and ownership mentality.
Preferred
- Familiarity with machine learning evaluation methods and observability practices for AI systems.
- Experience collaborating closely with product and design teams to deliver impactful user-facing features.
- Understanding of operational discipline in maintaining AI systems post-launch.
Compensation and Benefits
The base salary for this role ranges from $175K to $220K, complemented by competitive equity options. Join a forward-thinking team dedicated to making a meaningful impact in the nonprofit sector.