Senior Full Stack Developer (AI & Conversational Systems)

Omm IT Solutions • Woodlawn, MD

1d • Onsite

About The Position

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.

Requirements

• Bachelor's Degree in Computer Science, Mathematics, Engineering or a related field.
• Bachelor's Degree with 7+ years of experience
• Masters or Doctorate degree may substitute for required experience
• 10+ years of experience building, scaling, and maintaining production-grade JavaScript / Python applications.
• Must be able to obtain and maintain a Public Trust. Contract requirement.
• 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
• Strong Python backend engineering experience including API design, asynchronous programming, and system integration.
• Hands-on experience working with AI and LLMs in production environments.
• 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.

Nice To Haves

• Prior experience building or operating public-facing, high-availability, or regulated systems.
• Familiarity with AI safety, moderation, and responsible AI practices.
• Experience working in fast paced, “startup-like" environments.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level