Arcfield
Roles and Responsibilities
The Candidate should be capable to work independently as a full stack contributor to an Agile AI/ML software development and deployment team. He or she should exhibit expertise in:
Data science and ML frameworks
AI/MLOps – model containerization and deployment, pipeline automations
Strong software architecting and programming skills, with proficiency in Java and Python
Developing software application interfaces (APIs) and 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
The candidate should also demonstrate a general understanding, or interest in gaining expertise in:
Systems engineering processes, methods, and tools as applied to systems lifecycles
Digital engineering methodologies and tooling
In this role, the candidate would be collaborating with a software development team on the development and deployment of full-stack artificial intelligence software applications. Day-to-day responsibilities would include the specification, architecting, and development of cloud-based software including AI/ML technology and pipelines. The candidate will be working in a cross-functional team designing, developing and deploying advanced applications in cloud and AI technology. Application development includes integration with commercial and cloud-based software through REST or Open APIs, development of pipelines for software builds, and occasionally customer-facing demonstrations of software technology. Additional duties as assigned.
Qualifications Required Skills
BS 8-10 years, MS 6-8 years, PhD 3-5 years
Must be able to obtain and maintain a Secret Clearance
Technology and Tools
Software engineering: Java, Python
Graph-based/Data science skills: PyGraph, Pydantic
AI/MLOps: Azure AI Studio; AWS SageMaker, Kubeflow, etc
LLM APIs: OpenAI API, AWS Bedrock/boto
LLM integration methods and tools (LlamaIndex/LangChain):
Orchestration frameworks (RAG, Agents, MCP, etc)
Retrieval (Vector Search, BM25, Hierarchical, etc)
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
Command-line proficiency: Bash, PowerShell, etc
Integration via RESTful APIs, Java APIs, WebSockets, async message queues (Pub/Sub, etc)
Web-based technologies: HTML/CSS/JavaScript and JavaScript frameworks (React, Vue, Angular, Next) 3+ years
Equal Pay Act This is the projected compensation range for this position. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, contract wage determination, relevant work experience, skills and competencies that align to the specified role, geographic location (for remote opportunities), education and certifications as well as federal government contract labor categories. In addition, Arcfield invests in its employees beyond just compensation. Arcfield’s benefits offerings include, dependent upon position, health insurance, life insurance, paid time off, holiday pay, short‑term and long‑term disability, retirement and savings, learning and development opportunities, wellness programs as well as other optional benefit elections. Min: $93,262.13 Max: $224,107.51
EEO Statement We are an equal opportunity employer and federal government contractor. We do not discriminate against any employee or applicant for employment as protected by law.
Seniority Level Mid-Senior level
Employment Type Full-time
Job Function Engineering and Information Technology
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Data science and ML frameworks
AI/MLOps – model containerization and deployment, pipeline automations
Strong software architecting and programming skills, with proficiency in Java and Python
Developing software application interfaces (APIs) and 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
The candidate should also demonstrate a general understanding, or interest in gaining expertise in:
Systems engineering processes, methods, and tools as applied to systems lifecycles
Digital engineering methodologies and tooling
In this role, the candidate would be collaborating with a software development team on the development and deployment of full-stack artificial intelligence software applications. Day-to-day responsibilities would include the specification, architecting, and development of cloud-based software including AI/ML technology and pipelines. The candidate will be working in a cross-functional team designing, developing and deploying advanced applications in cloud and AI technology. Application development includes integration with commercial and cloud-based software through REST or Open APIs, development of pipelines for software builds, and occasionally customer-facing demonstrations of software technology. Additional duties as assigned.
Qualifications Required Skills
BS 8-10 years, MS 6-8 years, PhD 3-5 years
Must be able to obtain and maintain a Secret Clearance
Technology and Tools
Software engineering: Java, Python
Graph-based/Data science skills: PyGraph, Pydantic
AI/MLOps: Azure AI Studio; AWS SageMaker, Kubeflow, etc
LLM APIs: OpenAI API, AWS Bedrock/boto
LLM integration methods and tools (LlamaIndex/LangChain):
Orchestration frameworks (RAG, Agents, MCP, etc)
Retrieval (Vector Search, BM25, Hierarchical, etc)
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
Command-line proficiency: Bash, PowerShell, etc
Integration via RESTful APIs, Java APIs, WebSockets, async message queues (Pub/Sub, etc)
Web-based technologies: HTML/CSS/JavaScript and JavaScript frameworks (React, Vue, Angular, Next) 3+ years
Equal Pay Act This is the projected compensation range for this position. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, contract wage determination, relevant work experience, skills and competencies that align to the specified role, geographic location (for remote opportunities), education and certifications as well as federal government contract labor categories. In addition, Arcfield invests in its employees beyond just compensation. Arcfield’s benefits offerings include, dependent upon position, health insurance, life insurance, paid time off, holiday pay, short‑term and long‑term disability, retirement and savings, learning and development opportunities, wellness programs as well as other optional benefit elections. Min: $93,262.13 Max: $224,107.51
EEO Statement We are an equal opportunity employer and federal government contractor. We do not discriminate against any employee or applicant for employment as protected by law.
Seniority Level Mid-Senior level
Employment Type Full-time
Job Function Engineering and Information Technology
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