Python Developer

Key Required Skills:

• Experience building, scaling, and maintaining production-grade Python applications.

• Position Description:

  • 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.

  • Design and analyze A/B tests to evaluate the impact of changes to chatbot prompts, models, or features.

  • 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 – communicate clearly, raise risks early, and collaborate effectively to deliver high-quality code at speed.

  • Communicate with stakeholders and support user feedback.

  • Design, implement, and maintain relational and/or NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB) to support chatbot functionality, session management, and knowledge base storage.

  • Optimize database queries and ensure data integrity, security, and scalability.

  • Manage document indexing and updates in the knowledge base to ensure accurate and efficient retrieval.

  • Skills Requirements:

    Foundation for Success (Basic Qualifications)

    • 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 Python applications.

    Factors To Help You Shine (Required Skills)

    **Selected candidate must be able to obtain and maintain a public trust clearance**

    **Selected candidate must be willing to work on-site in Woodlawn, MD 5 days a week**

    • Deep expertise building, scaling, and maintaining production-grade Python applications.

    • Understanding of encryption, secure data storage, and transmission (SSL/TLS).

    • Experience implementing secure login systems (e.g., OAuth2, SAML, Multi-Factor Authentication).

    • Experience with testing frameworks.

    • Experience with relational (PostgreSQL, MySQL) and/or NoSQL databases (MongoDB).

    • Familiarity with automated deployment tools (e.g., Jenkins, GitHub Actions).

    • Strong Python backend engineering experience including API design, asynchronous programming, and system integration.

    • Ability to write clear technical documentation for maintainability and compliance.

    • 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.

    How To Stand Out From The Crowd (Desired Skills)

    • 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.

    • Analyze logs and user interactions to identify usage patterns, common queries, and areas for improvement.

    • Provide recommendations for enhancements based on data analysis to improve chatbot reliability, accuracy, and user experience.

    • Familiarity with AI safety, moderation, and responsible AI practices.

    • Experience working in fast paced, “startup-like" environments.