AI Architect

Lorven Technologies Inc.; San Jose (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

Lorven Technologies Inc. in San Jose, CA seeks a senior AI/ML engineer with 6–12 years of experience in AI/ML/deep learning model development, plus 5 years on cloud AI platforms (AWS SageMaker, Azure ML, GCP AI).

The role requires 2–3 years with LLMs, NLP, or speech/voice AI and production deployments, and 3–5 years designing and fine‑tuning LLMs or AI models. Strong Python, PyTorch, or TensorFlow experience is needed, with familiarity in Azure services (Azure AI Speech, Translator, OpenAI) and

Job description

• 6–10 years of experience in AI/ML/Deep Learning model development; 5 years of experience in Cloud AI platforms (AWS SageMaker / Azure ML / GCP AI)
• 2-3 years hands-on experience with LLMs, NLP, or speech/voice AI systems and deploying AI solutions in production environments
• 3-5 years of experience designing, training, and fine-tuning LLMs or AI models, Speech/Voice AI systems, Realtime voice pipeline
• 2+ years of experience in Agentic AI frameworks such as LangChain, LangGraph, A2A, MCP, and Multi agent orchestration
• 2-3 years of experience Familiarity with model evaluation metrics, bias detection, and optimization
• 5 years of experience in integrating AI models into applications via APIs or pipelines
• 3+ years of experience in Python, PyTorch, TensorFlow, or similar frameworks
• 2-3 years in Azure services — Azure AI Speech & Translator, Azure OpenAI, AI Search, plus Container Apps/AKS, API Management, Event Hubs, Key Vault, and Application Insights
• Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field
• Strong mathematical and statistical foundation; Preferred - Advanced coursework or certifications in ML, DL, or NLP
• Secondary / Preferred Skills – Advanced LLM techniques, prompt engineering, and fine-tuning strategies; Continuous learning on emerging AI frameworks and architectures; AI ethics, fairness, and responsible AI deployment; LLMOps - layered evals (WER, entity F1, COMET), CI regression gates, tracing, cost-per-minute telemetry, model routing, and drift detection.