Senior AI Platform Developer

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Logo of U.S. Green Building Council

U.S. Green Building Council

201 - 500 employees

Founded 1993

🤝 B2B

🤝 Non-profit

🌍 Social Impact

B2B • Non-profit • Social Impact

U. S. Green Building Council is a leader in promoting sustainable building practices and minimizing climate impacts through its innovative LEED (Leadership in Energy and Environmental Design) rating system. By advocating for environmentally responsible construction and development, the USGBC enhances the well-being of individuals, communities, and the planet. The council unifies a global community to advance sustainable construction and encourage energy-efficient, eco-friendly building practices.

📋 Description

• Design and develop AI-powered applications supporting internal staff and external customers • Build web applications, chatbots, and conversational interfaces that leverage large language models and AI services • Develop conversational AI systems using LLM architectures and retrieval-augmented generation (RAG) • Build and maintain APIs and microservices that enable AI capabilities across digital platforms • Develop AI-powered chatbots and assistants to support initiatives such as certification-review tools, customer guidance systems, and conversational analytics • Integrate AI solutions with enterprise platforms, including Snowflake, Salesforce, Power BI, Drupal, and other internal systems • Design knowledge ingestion and retrieval pipelines using embeddings, vector search, and semantic retrieval techniques • Operationalize AI systems with monitoring, logging, evaluation frameworks, and cost optimization • Coordinate closely with other developers, architects, product owners, and business stakeholders to deliver AI initiatives • Collaborate with cross-functional teams to identify high-impact AI use cases and deliver scalable production solutions • Ensure responsible AI practices, including citation grounding, security, governance, and data protection

🎯 Requirements

• 6–10+ years of software engineering, platform development, or web application development experience • 3+ years working with AI/ML or LLM-based systems • Hands-on experience building AI applications and chatbots using AWS services, particularly Amazon Bedrock • Experience building web applications or conversational interfaces integrating AI capabilities • Experience integrating foundation models such as Anthropic Claude or similar models into production workflows • Experience implementing retrieval-augmented generation (RAG) or semantic search systems • Experience building APIs, microservices, and backend services supporting AI-powered applications • Experience working collaboratively within engineering teams to deliver complex technical initiatives • Experience integrating AI solutions with enterprise systems and data platforms • Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field (or equivalent experience)

🏖️ Benefits

• A chance to make a measurable impact on global sustainability efforts • Opportunities to grow your career and take ownership of meaningful work • A purpose-driven, inclusive culture

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