Job Title: Python Developer.
Location: Woodlawn, MD (Need only locals)
Duration: Long term
Key Required Skills:
Experience building, scaling, and maintaining production-grade Python applications.
**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**
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.
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