AI Native Software Engineer at Quantum Wave Technologies, Inc | Torre

AI Native Software Engineer

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Full-time

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Remote (for United States residents)
Posted 6 months ago

Responsibilities


My client is looking for multiple AI Native Software Engineers to support our client's growing AI practice. Key Qualifications: - Communicate clearly, deeply technical, and hands-on. - Use GCP/Microsoft/Databricks. - Use OpenSource scaffolding around AI models. - Very heavy niche engineering skillset. - Exceptional at amplifying productivity but still need to do review/validation of code. - Have the agentic AI architecture built out (OpenAI/Cloud/GCP/Gemini/Databricks/AWS/Azure). - Need production experience and Agentic AI experience, but doesn't need to have agentic AI production experience. What You Must Have: - 8+ years of software engineering experience. - Strong experience with cloud-native systems (APIs, microservices, containers, serverless). - Experience building and deploying AI/LLM-based systems in production (agents, RAG, orchestration). - Proficiency in Python, Java, or similar backend languages. - Hands-on experience with AI platforms (OpenAI, Claude, Vertex AI, or similar). - Experience with agent frameworks (e.g., LangGraph, AutoGen, CrewAI). - Experience designing multi-agent or distributed AI systems. - Familiarity with enterprise-scale system integration. - Experience optimizing AI workloads for cost and performance. Responsibilities Will Include: - Design and implement AI agents, including Retrieval (RAG). - Integrate with AI providers (e.g., OpenAI, Anthropic, Google Vertex, open-source models). - Microservices architecture. - Containers (Docker, Kubernetes). - Implement CI/CD pipelines and infrastructure as code (e.g., Terraform, Helm). - Build and deploy AI-powered applications aligned to business workflows. - Integrate AI systems into existing enterprise platforms and APIs.