Senior AI Developer
NuAxis
- Location
- Washington, DC
- Workplace
- Hybrid
- Employment
- Full Time
- Salary
- 0
Posted 2mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Lead architecture, design, development, and implementation of enterprise AI solutions
- Design and implement Retrieval-Augmented Generation (RAG) solutions
- Develop AI-powered assistants, chatbots, intelligent copilots, and document processing solutions
- Integrate AI capabilities into enterprise applications through secure APIs
- Apply predictive analytics, recommendation models, anomaly detection, and AI-driven decision support
- Collaborate with cross-functional teams to translate business requirements into production-ready AI solutions
- Develop prompt engineering standards, AI guardrails, evaluation frameworks, and Responsible AI practices
- Implement MLOps processes to support model deployment, monitoring, versioning, testing, and lifecycle management
- Participate in Agile development activities
- Evaluate emerging AI technologies and recommend innovative solutions
- Ensure AI solutions comply with Federal cybersecurity requirements
- Support testing, performance optimization, security assessments, and production support
Requirements
- Bachelor's degree in Computer Science, Information Systems, Software Engineering, or related field
- Minimum of 5 years of software development experience
- Minimum of 2 years developing enterprise AI or Generative AI solutions
- Experience with Python
- Experience with C#
- Experience with JavaScript
- Experience with TypeScript
- Experience with SQL
- Experience with REST APIs
- Experience with cloud platforms including Azure, AWS, or GCP
- Experience with modern AI frameworks
- Experience with LLMs
- Experience with RAG
- Experience with prompt engineering
- Experience with AI agents
- Experience with vector databases
- Experience with enterprise application integration
- Understanding of Agile methodologies
- Understanding of secure software development practices
- Understanding of enterprise architecture
Skills
- Python
- C#
- JavaScript
- TypeScript
- SQL
- Azure
- AWS
- GCP
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