AI-Focused Software Engineer I — Python & AI Tools

Belay Technologies, Inc.; Annapolis (MD); Presencial; USD 70.000 - 190.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

8 weeks paid leave

401(k) matching 100%

Training and tuition assistance

Life insurance up to $420k

HSA with rich medical coverage

Dental coverage including orthodontia

Descripción de la vacante

Belay Technologies, Inc. is seeking a Software Engineer (AI Focus) to develop and refine software that integrates AI capabilities into CNO workflows.

You will integrate diverse data sources and external APIs with MCP tools to enable seamless interoperability, under guidance from senior engineers. You will implement agentic Python integrations, leverage multiple AI models and data sources, and build workflows using contemporary frameworks.

Formación

• Requires TS/SCI clearance with polygraph and 3 years of relevant experience or 4 additional years in place of a BS.
• Proficiency in Python, REST APIs, and data manipulation; experience with API data access.

Responsabilidades

• Develop agentic integrations with Python leveraging multiple AI models, APIs, and data sources.
• Build agentic workflows within modern frameworks (e.g., PydanticAI, Langgraph, DeepAgents).
• Collaborate with stakeholders to elicit requirements and deliver scalable, interoperable solutions.
• Identify data types and extract relevant information for customers.
• Work with fellow engineers to test workflows and resolve issues.

Conocimientos

Python

JSON

REST APIs

Data manipulation

AI development concepts

Prompt engineering

Context management

Structured outputs

Tool calling

Git

Jira

Confluence

Data analysis

Educación

Bachelor's degree in a technical discipline

Herramientas

AWS

Docker

Kubernetes

Descripción del empleo

Belay Technologies, Inc. is seeking a Software Engineer (AI Focus) to develop and refine software that integrates AI capabilities into CNO workflows.

You will integrate diverse data sources and external APIs with MCP tools to enable seamless interoperability, under guidance from senior engineers. You will implement agentic Python integrations, leverage multiple AI models and data sources, and build workflows using contemporary frameworks.