Backend Developer - Go & Generative AI
XTIVIA.com
Office
Latin American Countries
Full Time
XTIVIA: Backend Developer - Go & Generative AI
Start Date: ASAP
Duration: 6 months (with potential for extension based on performance)
Work Location: Nearshore (Latin America preferred for time zone alignment)
At this time, XTIVIA’s partner cannot transfer nor sponsor a work visa for this position.
How you will make a difference: Backend Development & Go Expertise
Strong experience in backend development with a strong focus on Go (Golang) in production-grade environments.
Proven experience designing, building, and maintaining microservices architectures and RESTful APIs.
Generative AI & LLM Integration
- Hands-on experience integrating Large Language Models (LLMs) via APIs (e.g., OpenAI, Anthropic, AWS Bedrock, etc.).
- Ability to design and implement workflows that leverage LLMs for tasks such as summarization, classification, and content generation.
- Familiarity with prompt engineering and managing model outputs effectively.
Testing & Quality Assurance
- Proficient in writing unit tests, integration tests, and using Go testing frameworks.
Cloud & Infrastructure
- Experience deploying and managing services in AWS, including use of services like Lambda, ECS, S3.
Database & Data Handling
- Strong experience with MySQL/SQL databases, including schema design, query optimization, and migrations.
- Understanding of data privacy and security best practices when handling sensitive data.
Version Control & DevOps
- Proficient with Git, GitHub/GitLab workflows, and CI/CD pipelines.
- Experience with automated testing and deployment strategies.
What you bring to your new team
- Strong communication skills and ability to work independently in a remote, agile team.
- Comfortable collaborating across time zones and with cross-functional teams (e.g., product, design, ML engineers).
- Proactive problem-solving mindset and eagerness to learn emerging technologies.
How you add even MORE value (if applicable: preferred qualifications, experience, or education)
- Python experience, especially for LLM API integration, scripting, or data preprocessing.
- Familiarity with Docker and containerization best practices for local development and deployment.