Arcfield is looking to solve the problem of developing and deploying full-stack artificial intelligence software applications
Requirements
- Software Engineering (Java, Python)
- Graph-Based/Data Science Skills (PyGraph, Pydantic)
- AI/MLOps - (Azure AI Studio; AWS Sagemaker, Kubeflow, etc)
- Familiarity with LLM APIs (OpenAI API, AWS Bedrock/boto)
- Experience with modern LLM integration methods and applicable tools (LlamaIndex/LangChain)
- Experience with Software Development lifecycle practices and automations (Pipeline design, management, Git/GitOps, CI/CD, Version Control, Testing)
- Cloud-native technologies and development (Python/FastAPI, SQL, Redis)
Responsibilities
- Data Science and ML Frameworks
- AI/Mlops - Model Containerization and deployment, pipeline automations
- Developing software applications interfaces (APIs), integrating software applications
- Web-based Front-End Application design and development for scalable software solutions
- User Interface (GUI) Design and Development for intuitive user experiences (UI/UX)
- Cloud and Information Technology principals including cloud based architectures, database architectures, and data sharing protocols
- Specification, architecting, and development of cloud-based software including AI/ML technology and pipelines
Other
- BS 8-10, MS 6-8, PhD 3-5
- Must be able to obtain and maintain a Secret Clearance
- Customer facing demonstrations of software technology are required
- Collaborating with a software development team on the development and deployment of full-stack artificial intelligence software applications
- Working in a cross-functional team designing, developing and deploying advanced applications in cloud and AI technology
