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Senior Python Developer (AI & Conversational Systems)
Baltimore, MD, On -site 5 Days
Description of Work:
Senior Python Developer (AI & Conversational Systems)
Baltimore, MD, On -site 5 Days
Description of Work:
- Deep Python expertise, hands-on experience integrating large language models (LLMs) into production systems, ability to operate independently in a fast-paced, highly collaborative environment.
- 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.
- Bachelor's Degree in Computer Science, Mathematics, Engineering or a related field.
- Masters or Doctorate degree may substitute for required experience
- 10 years of experience building, scaling, and maintaining production-grade JavaScript / Python applications.
- Deep expertise building, scaling, and maintaining production-grade Python applications
- Strong Python backend engineering experience including API design, asynchronous programming, and system integration.
- Proficiency in managing and querying both relational databases and vector databases for semantic search.
- 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.
- Understanding of how to measure LLM performance using frameworks like Ragas, TruLens, or Arize Phoenix to evaluate faithfulness, relevance, and safety.
- 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.
- Must be able to obtain and maintain a US Public Trust clearance.
- Experience with DevOps practices, including CI/CD pipelines, cloud infrastructure, containerization, monitoring, and logging.
- 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.