ThoughtFull - Employee Mental Wellbeing

AI Engineer

• Design, develop, and deploy scalable, secure, and production-ready AI applications using Large Language Models and modern AI frameworks
• Build AI agents and automated workflows integrating APIs, databases, tools, and existing systems
• Develop and optimize Retrieval-Augmented Generation pipelines, including document processing, embeddings, vector search, and retrieval strategies
• Integrate and manage LLM providers such as OpenAI, Anthropic, and AWS Bedrock using prompt engineering, structured outputs, and function calling
• Develop and maintain backend services and RESTful APIs
• Implement AI evaluation frameworks and guardrails for accuracy, consistency, safety, reliability, sensitive-data protection, and human escalation
• Optimize AI application performance, response latency, token usage, and infrastructure costs
• Deploy, monitor, and maintain AI services using cloud infrastructure, Docker, and CI/CD pipelines
• Collaborate with product, engineering, and clinical teams to translate business requirements into AI-powered solutions
• Research and evaluate emerging AI technologies, models, and frameworks

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Full-stack Engineer

• Design, develop, and maintain scalable web services, APIs, and front-end applications
• Collaborate with Product, Business, and Clinical/Ops teams to shape features from concept to delivery
• Write clean, well-tested code and participate in code reviews and architecture discussions
• Optimize performance across the stack to ensure reliability and speed
• Contribute to team-wide engineering best practices and tooling improvements

Explore Software Engineer – Full Stack at ThoughtFull - Employee Mental…. Review requirements and application details.