AI Engineer

🔥 3 hours ago

🇺🇸 United States – Remote

💵 $105k - $125k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 AI Engineer

👻 Ghost score 0%

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Charity Navigator

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💰 Seed Round on 2023-07

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Charity Navigator is an independent nonprofit organization that evaluates and rates charities to help donors make informed giving decisions. It provides searchable ratings and donor resources focused on nonprofits' financial health, accountability, and transparency, along with tools and support for both donors and nonprofit organizations. The platform includes account creation for users and offers nonprofit resources and guidance to improve giving effectiveness.

📋 Description

• Build and ship production LLM-powered and agentic features • Develop prompt orchestration, tool calling, embeddings, and structured outputs using reusable components • Build API integrations, MCP servers, and retrieval-augmented generation workflows • Connect existing data systems to vector search so AI features accurately surface and explain published ratings data and cite sources • Build and run evaluation infrastructure, including prompt regression tests, LLM-as-a-judge evaluations, and synthetic datasets • Monitor AI features in production and track accuracy, latency, token cost, and hallucination rates • Debug and tune prompts based on production findings • Implement runtime safety and reliability guardrails • Research and recommend orchestration frameworks, vector stores, and model providers • Work directly with non-technical stakeholders to scope problems and assess AI capabilities • Evaluate emerging models and tools and use AI-assisted development • Contribute to engineering standards through code review • Report to the VP of Engineering and collaborate with senior engineers on system design, technical direction, and strategic AI opportunities • Own AI features from day one and take on increasing architectural ownership

🎯 Requirements

• 2-3+ years building or deploying machine learning models or AI-driven applications • Bachelor’s degree in Computer Science, Engineering, AI/ML, or a related field, or a relevant certificate program • Demonstrated technical proficiency and relevant industry experience will be considered in lieu of a formal degree • 2+ years of Python, professional or substantial project-based experience • Solid grasp of core machine learning concepts and API integration • Hands-on experience with foundation model providers such as Anthropic, OpenAI, and similar • Experience with prompt engineering and agentic patterns • Experience using orchestration frameworks such as LangChain or LlamaIndex, or integration standards such as the Model Context Protocol • Practical experience querying and tuning a vector database such as pgvector, OpenSearch, or similar for RAG applications • AWS required • Managed cloud AI services such as Amazon Bedrock preferred • Cloud deployment of application code via serverless or containerized patterns preferred • Scrum or other Agile development experience preferred • Cloud, Gen AI, or machine learning certifications preferred • Legally authorized to work in the United States and currently residing in the US • Quiet, professional home setup for video collaboration

🏖️ Benefits

• Health, Dental, and Vision Insurance (including coverage for dependents) • Life & Disability Insurance • 20 vacation days • 10 sick days • 11 paid holidays in your first year • Retirement savings with up to 3% match of base salary • Flexible spending and dependent care accounts • Computer provided • Occasional travel to team retreats or key strategic meetings may be required

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