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.

• 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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About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions’ Privacy Policy and INSPYR Solutions’ AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/. By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.

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