Full Stack Engineer
Aviso de fuente externaen Foster Weise Covey (Launch Foundry)
Full Stack Engineer: build backend services and APIs integrating AI/ML components, with .NET 8, Python, REST APIs, and production systems.
Salario
No especificado
Ubicación
Tegucigalpa, Honduras
Tipo de empleo
Tiempo completo
Modalidad
No especificado
Full Stack Engineer
Tegucigalpa, Honduras
Descripción del empleo
About the role
Foster Weise Covey (Launch Foundry) is hiring an AI Product Engineer for a hands-on engineering position in its product development cell. The role involves building backend services and APIs that integrate AI/ML components into scalable production architectures, working with the Data & ML Engineer and Product team to connect intelligent models with business outcomes.
Responsibilities
- Develop and maintain backend services using .NET 8, Python, or equivalent frameworks.
- Design and implement REST APIs for consuming ML models and AI services.
- Integrate foundational models, cognitive services, and agentic frameworks into production systems.
- Enforce authentication, authorization, and access-control security standards.
- Manage CI/CD pipelines, code versioning, and deployment practices.
- Implement monitoring, logging, and observability for production services.
- Collaborate with Product Owners and technical leads on feature definition.
Requirements
- Three years of software development experience.
- One or more years integrating AI/ML components in production environments.
- A degree in Systems Engineering, Computer Science, or a related field; studies in progress are accepted.
- Strong ownership, documentation discipline, and a collaborative mindset.
- Technical requirements: .NET 8, Python, Angular / TypeScript, React Native, SQL Server, MySQL, MongoDB, Redis, Ollama, AWS, Azure, agent frameworks, REST/WCF, Dapper / EF Core, HTML5 / CSS, and unit testing.
Datos clave
- The role is based in Tegucigalpa, Honduras.
- Requires three years of software development experience.
- Requires one or more years integrating AI/ML components in production environments.
- A degree in Systems Engineering, Computer Science, or a related field is required; studies in progress are accepted.
Preguntas frecuentes
What does the role involve?
It involves building backend services and REST APIs that integrate AI/ML components into scalable production architectures.
What experience is required?
The listing asks for three years of software development experience and one or more years integrating AI/ML components in production environments.
What technical skills are listed?
The requirements include .NET 8, Python, REST APIs, databases, cloud services, agent frameworks, and unit testing, among other technologies.