Design and develop LLM-powered applications, AI Agents, and AI automation workflows.
Build RAG systems, prompt pipelines, tool calling, evaluation and AI orchestration.
Integrate LLMs such as OpenAI, Claude, Gemini into production products.
Develop and optimize AI services using Python and modern AI/ML frameworks.
Evaluate model quality, latency, cost, reliability and continuously improve AI performance.
Work with Engineering and Product teams to turn business problems into scalable AI solutions.
Establish best practices for AI evaluation, monitoring, safety and production deployment.
2+ years of software/
AI engineering experience, with strong hands-on development experience.
Strong experience building and deploying LLM/GenAI applications in production.
Solid knowledge of Python, APIs, databases and cloud infrastructure.
Hands-on experience with RAG, vector databases, embeddings, prompt engineering, function/tool calling and AI Agents.
Experience with at least one major LLM ecosystem: OpenAI, Anthropic, Google Gemini, etc.
Strong problem-solving and system-design skills.
Able to independently take an AI problem from idea → prototype → production.
Build AI products used by real families at scale.
Work directly with a small, highly autonomous Product & Engineering team.
Opportunity to shape TeenCare's AI architecture and technical direction.
High ownership, fast experimentation and strong exposure to AI product development.