About the Company At CloudHew, we help businesses simplify the complex through technology. Our products and solutions enable smarter decisions, seamless execution, and measurable impact. We’re growing fast, and we’re looking for someone who loves the challenge of turning conversations into genuine opportunities. Experience: 10–15+ years What You’ll Do Lead end-to-end AI solution architecture for enterprise clients. Design scalable LLM systems — RAG, multi-agent, orchestration, evaluation. Create AI roadmaps, frameworks, and reusable accelerators for CloudHew. Mentor engineering teams; review architecture & code. Work directly with CXOs to define AI strategy, governance & ROI. Requirements Expertise in AI/ML systems, distributed architecture, and GenAI. Strong understanding of vector search, data pipelines, GPUs, and scaling LLM workloads. Experience integrating AI across cloud platforms (AWS/Azure/GCP). Ability to evaluate build vs buy, costs, latency, security and infra tradeoffs. Strong communication and stakeholder management skills. Why You’ll Love Working Here Competitive pay and performance-based incentives. Direct access to leadership and quick decision-making. A culture that values initiative, collaboration, and authentic relationships. A chance to make an actual impact in a growing company.
About the Company At CloudHew, we help businesses simplify the complex through technology. Our products and solutions enable smarter decisions, seamless execution, and measurable impact. We’re growing fast, and we’re looking for someone who loves the challenge of turning conversations into genuine opportunities. Experience: 5–8 years What You’ll Do Build and deploy AI/ML models (NLP, CV, GenAI) for enterprise solutions. Work with LLMs, embeddings, RAG, and fine-tuning pipelines. Optimize model performance, latency, scalability, and caching. Collaborate with backend and DevOps teams for production deployments. Evaluate new GenAI technologies, frameworks, and tools. Requirements Strong Python & ML frameworks (PyTorch/TensorFlow). Experience with LLMs, vector DBs, LangChain/LlamaIndex. Familiarity with MLOps (Docker, CI/CD, Kubernetes). Experience deploying models on AWS/Azure/GCP. Good understanding of prompt engineering & evaluation. Why You’ll Love Working Here Competitive pay and performance-based incentives. Direct access to leadership and quick decision-making. A culture that values initiative, collaboration, and authentic relationships. A chance to make an actual impact in a growing company.