Software Developer Senior

N2IA TechnologiesWashington, DC

About The Position

N2IA Technologies is a consulting company specializing in acquisition/contracting support, cost/FinOps, and technology optimization for federal clients. We deliver tailored strategies, robust software solutions, and streamlined operations to help organizations achieve their goals. At N2IA, we are committed to developing innovative financial and compliance-based solutions that address evolving business and regulatory needs. If you are passionate about accounting, financial accuracy, and supporting government programs, N2IA is the place for you. N2IA is seeking a Senior Software Developer with strong full-stack AI development experience to build and maintain scalable AWS-based web applications. The ideal candidate has expertise in Python, React or Angular, backend development, databases, and cloud technologies. Experience with AI technologies or a strong willingness to learn and implement AI solutions is highly desirable.

Requirements

  • 4+ years of professional full-stack software development experience
  • Strong experience with Python
  • Experience with React or Angular
  • Proven experience with at least one production-grade AI project
  • Experience developing applications using AWS services
  • Strong understanding of frontend, backend, and database concepts
  • Experience with AI technologies or a strong willingness to learn and implement AI solutions
  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field
  • One of the following AWS certifications: AWS Certified Developer - Associate, AWS Certified Machine Learning - Specialty, or AWS Certified Generative AI Engineer - Professional
  • Security+ certification
  • Active security clearance

Nice To Haves

  • Experience with Asynchronous Processing to handle long-running AI tasks
  • Experience with DevSecOps and Cost Management
  • Experience with one or more additional backend languages, such as Node.js, Go, Java, C++, or Rust.

Responsibilities

  • Build the UI in React and connect to services like Amazon Bedrock and leverage AI-powered coding agents.
  • Implement RAG and Agentic AI.
  • Fine-tune model prompts and monitor AI performance/costs.
  • Debug CSS alignment issues.
  • Address timeouts in Python based Lambda functions.
  • Scale applications via code.
  • Implement server-side logic and database operations.
  • Swap AI models in and out of an architecture.
  • Use AWS IAM and Guardrails to stay secure.
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