Dynanet Corporation-posted 3 days ago
Full-time • Mid Level
Onsite • Ashburn, VA
11-50 employees

Strong experience in modern web development and applied AI integration. The ideal candidate will be comfortable building scalable, data-driven web applications using React, Next.js, NestJS, and MongoDB, and will have hands-on experience implementing Retrieval-Augmented Generation (RAG) systems and prompt engineering for AI-driven features. You’ll work across the stack to design, develop, and deploy robust products that leverage both front-end interactivity and intelligent backend systems.

  • Design, build, and maintain scalable full-stack applications using Next.js, React, NestJS, and MongoDB.
  • Integrate and optimize AI-based features, including RAG pipelines and LLM-powered tools.
  • Develop and tune prompt templates, retrieval chains, and embeddings for contextual AI performance.
  • Collaborate with product managers, designers, and data scientists to translate requirements into technical solutions.
  • Implement secure APIs, efficient data models, and robust backend services.
  • Ensure application performance, security, and reliability across deployments.
  • Participate in code reviews, testing, and CI/CD pipelines.
  • Stay up to date with modern frameworks, AI integration patterns, and best practices in full-stack engineering.
  • Bachelor’s degree in Cybersecurity, IT, or related field (or equivalent experience)
  • Must have an existing CBP Full BI
  • 3–5 years of experience as a Full Stack Engineer or similar role.
  • Strong proficiency in JavaScript/TypeScript, React, Next.js, NestJS, and MongoDB.
  • Experience building and deploying RAG-based AI systems (e.g., integrating vector databases, embedding models, or LLM APIs).
  • Familiarity with prompt engineering techniques for optimizing AI outputs.
  • Strong understanding of RESTful and GraphQL API design.
  • Experience with version control (Git), containerization (Docker), and cloud platforms (AWS, GCP, or Azure).
  • Familiarity with LangChain, LlamaIndex, or similar frameworks for AI application development.
  • Experience with vector databases (e.g., Pinecone, Weaviate, Milvus).
  • Knowledge of CI/CD pipelines and DevOps practices.
  • Experience working in Agile/Scrum teams.
  • Industry Competitive Compensation
  • Medical and Dental Insurance
  • Paid Time Off/Holidays
  • 401(k) Retirement Plans with Matching
  • Remote Work (Contract dependent)
  • Paid Training
  • Employee Referral Program
  • Employee Development Program
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