Back to SearchSenior GenAI Engineer
Remote in Argentina, & 2 others
AI Solution Engineering& 7 others
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We are looking for a Senior GenAI Engineer to lead the end-to-end development, deployment, and operation of enterprise-grade AI-powered applications. This role combines backend engineering, LLM integration, cloud infrastructure, and AI platform operations to deliver scalable GenAI solutions in production environments, working closely with AI/DS, Product, and DevOps teams to build and scale AI-driven applications while ensuring reliability, observability, performance optimization, and operational excellence across the full AI SDLC.
Responsibilities
- Design, develop, deploy, and maintain backend services for AI/LLM-powered applications
- Own E2E delivery of GenAI features from implementation to production support
- Integrate and operate LLM APIs in enterprise production environments
- Develop APIs, orchestration layers, and microservices supporting agentic AI workflows
- Optimize LLM systems for latency, resiliency, retries, fallbacks, and cost efficiency
- Implement CI/CD pipelines, observability, monitoring, and logging for AI services
- Collaborate with AI/DS, Product, DevOps, and platform teams to streamline delivery and improve reliability
- Support MCP integrations, agentic memory initiatives, and AI orchestration frameworks
- Drive GenAI-assisted development practices and scale AI SDLC processes
- Contribute to AI Beauty Chat delivery through agentic micro-pod execution models
- Perform System Steward responsibilities in agentic micro-pods
Requirements
- 3+ years of experience in Python backend engineering
- Experience building and operating production-grade GenAI/LLM applications end-to-end
- Hands-on experience with OpenAI or other LLM APIs in production environments
- Skills in prompt engineering, agentic workflows, and orchestration patterns
- Experience handling LLM operational challenges, including latency, retries, fallbacks, observability, and cost optimization
- Understanding of scalable backend and distributed system architecture
- Experience with CI/CD, DevOps workflows, and Azure cloud environments
- Experience applying GenAI across the SDLC, including AI-assisted development, testing, deployment, and delivery workflows
- Working knowledge of SQL/NoSQL databases, Redis, and Kafka
- Familiarity with Databricks and MCP
- Excellent English communication skills (B2+ level)