Senior Software Developer (NLP)

Parsons Corporation is seeking a Senior Software Developer to support their cutting-edge Drone Armor counter-unmanned aerial systems program. The role involves designing and implementing software code across various programming languages, optimizing NLP capabilities, and collaborating with data scientists to integrate NLP models into production systems.

Responsibilities:

• Create logical and functional software code in a variety of programming languages to support Drone Armor capabilities
• Lead the design and implementation of software components, services, and interfaces based on system and mission requirements
• Ensure solutions are robust, secure, maintainable, and aligned with program architecture and coding standards
• Design and implement services and pipelines that incorporate NLP models and text processing components into C-UAS workflows (e.g., analysis of communications, reports, or operator inputs)
• Collaborate with data scientists and ML/NLP engineers to integrate NLP models into production systems
• Implement and optimize NLP pipelines for tasks such as classification, entity extraction, summarization, translation, or intent detection, as required by mission needs
• Integrate large language models and other NLP components via APIs or model-serving infrastructure, ensuring performance, reliability, and security
• Work with stakeholders to translate mission and operational requirements into concrete NLP features and user-facing capabilities
• Understand and articulate the benefits and risks associated with different coding languages and frameworks in various functional environments
• Recommend appropriate languages, tools, and design patterns based on performance, security, maintainability, and integration needs
• Evaluate and recommend NLP libraries, frameworks, and platforms (e.g., transformer-based toolkits, vector databases, or text analytics services)
• Provide technical guidance to developers on language and framework selection, coding practices, architectural decisions, and NLP integration strategies
• React to software problems quickly and effectively, correcting code and related configurations as necessary
• Debug complex issues across multiple layers (application, service, interface, data) and environments (development, integration, field)
• Diagnose and resolve issues specific to NLP-enabled features, including latency, accuracy, unexpected outputs, and integration failures
• Support and refine unit, integration, and system-level tests, including tests for NLP components (e.g., input validation, model behavior checks, regression tests on text datasets) to validate functionality and prevent regressions
• Serve as a senior technical resource within the development team, mentoring junior and mid-level developers
• Coach team members on best practices for integrating NLP capabilities into existing architectures and workflows
• Collaborate with systems engineers, test engineers, data scientists, NLP/ML engineers, and field personnel to resolve issues and improve system performance
• Contribute to technical reviews, design walkthroughs, and continuous improvement of development and AI/NLP integration practices