Senior AI Engineer
New
D
DevlaneGenerative AI
This is a remote position for candidates based in Latin America. Source API remote eligibility restrictions: Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bermuda, Bolivia, Bonaire, Sint Eustatius and Saba, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), Grenada, Guatemala, Guyana, Haiti, Honduras, Jamaica, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and the Grenadines, South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela, Virgin Islands, British, Virgin Islands, U.S.Full-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Advanced English level.
- Experience
- 7+ years of software engineering experience
- Required Skills
- AWSPythonGCPKubernetesAzurePrompt EngineeringGenerative AI
Requirements
- Have 7+ years of software engineering experience.
- Bring a strong foundation in software architecture and engineering best practices.
- Have strong Python skills.
- Have proven experience developing and scaling backend services in production environments.
- Have technical knowledge of Generative AI, including LLM APIs, RAG pipelines, multi-step AI workflows, and prompt engineering.
- Have hands-on experience integrating foundational models into application workflows.
- Have experience with LlamaIndex and embedding optimization techniques.
- Be able to evaluate, debug, and optimize AI-generated outputs for accuracy, bias, compliance, and performance.
- Have experience with AWS, Azure, or GCP.
- Have hands-on experience with Docker, Kubernetes, Git, and CI/CD pipelines.
- Have an advanced level of English.
Responsibilities
- Design scalable Generative AI solutions.
- Build and productionize applied AI and backend systems.
- Integrate LLM APIs and foundational models into application workflows.
- Build RAG pipelines and multi-step AI workflows.
- Optimize AI-generated responses through prompt engineering.
- Evaluate and debug AI-generated outputs for accuracy, bias, compliance, and performance.
- Work with AI, DevOps, and software engineering teams to deliver reliable, production-ready solutions.
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