Senior Full Stack Developer (AI & Conversational Systems)

Description of Work:

• Deep JavaScript front-end and Python back-end expertise, hands-on experience integrating large language models (LLMs) into production systems, ability to operate independently in a fast-paced, highly collaborative environment.Contribute to front-end development using JavaScript to support conversational user experiences and integration with backend APIs.
• Design, develop, and maintain scalable Python backend systems for a public-facing AI chatbot.
• Integrate and manage LLMs, including prompt design, context management, retrieval-augmented generation (RAG), AI agents, and tool/function calling.
• Ensure chatbot reliability, safety, and compliance through moderation, guardrails, and abuse prevention.
• Implement monitoring, logging, and alerting to support production reliability and rapid issue resolution.
• Lead code reviews and enforce best practices to maintain high engineering standards.
• Contribute to CI/CD pipelines, cloud deployments, and infrastructure decisions supporting high
• availability.
• Evaluate and adopt new AI technologies and architectural improvements to support long-term scalability.
• Be proactive, adaptable, and highly engaged communicating clearly, raising risks early, and collaborating effectively to deliver high-quality code at speed.
• All other duties as assigned or directed.

Basic Qualifications: Minimum knowledge, skills, abilities needed.

• 10+ years of experience building, scaling, and maintaining production-grade JavaScript / Python applications.

• Strong experience with JavaScript front-end development using modern frameworks (e.g., React, Vue, or similar), including building user interfaces and integrating with backend APIs.
• Deep expertise building, scaling, and maintaining production-grade Python applications
• Hands-on experience working with AI and LLMs in production environments.
• Strong Python backend engineering experience including API design, asynchronous programming, and system integration.
• Solid understanding of key AI/LLM concepts, including prompt engineering, RAG, AI agents, context management, evaluation and structured outputs.
• Experience with DevOps practices, including CI/CD pipelines, cloud infrastructure, containerization, monitoring, and logging.
• Demonstrated ability to solve complex technical problems and make sound architectural decisions in ambiguous environments.
• Strong communication skills with a proven ability to be vocal, engaged, collaborative, proactive, and adaptable within cross-functional teams.