AI Engineer- Anthropic
# AI Engineer- Anthropic **Quantum Strides LLC** · India · `Remote` · `Full Time` 💼 **Уровень роли:** `Mid-level` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[AI-Engineer]` `[Machine-Learning-Engineer]` `[Generative-AI-Engineer]` `[LLM-Engineer]` `[Artificial-Intelligence-Engineer]` `[AI-Engineering]` `[Artificial-Intelligence-Engineering]` `[AI-Engineering-Specialist]` --- ### About the Role Job Description Artificial Intelligence Engineer – Anthropic About Quantum Strides Quantum Strides is looking for a talented and hands-on Artificial Intelligence Engineer to join our growing AI engineering team. The ideal candidate will have strong practical experience building and deploying AI/ML solutions, with specific expertise in Anthropic's Claude ecosystem, APIs, and generative AI technologies . This is a fully remote, full-time opportunity for an engineer who enjoys working with emerging AI technologies and translating business requirements into scalable, production-ready AI solutions. Key Responsibilities - Design, develop, and deploy AI-powered applications using Anthropic Claude and related AI technologies . - Build applications and workflows using Anthropic APIs/SDKs and modern Generative AI frameworks. - Develop LLM-powered applications, AI agents, conversational AI, and intelligent automation solutions . - Implement Retrieval-Augmented Generation (RAG) solutions using enterprise and unstructured data. - Develop effective prompting strategies, prompt templates, evaluation approaches, and LLM workflows. - Integrate AI models with enterprise applications, APIs, databases, and cloud platforms. - Work with vector databases and embedding technologies for semantic search and knowledge retrieval. - Develop and optimize AI agents capable of tool use, reasoning workflows, and multi-step task execution. - Evaluate AI model performance, accuracy, latency, reliability, and cost. - Implement appropriate guardrails, security controls, monitoring, and responsible AI practices. - Collaborate with product managers, software engineers, data engineers, and business stakeholders to deliver AI solutions. - Troubleshoot, optimize, and continuously improve AI applications in production environments. - Stay current with developments in Anthropic, Claude, Generative AI, LLMs, AI agents, and AI engineering best practices . Required Skills & Qualifications - 3–4 years of professional experience in Artificial Intelligence, Machine Learning, Generative AI, or related engineering roles. - Anthropic certification is required. - Hands-on experience with Anthropic Claude models and Anthropic APIs/SDKs . - Strong understanding of Generative AI and Large Language Models (LLMs) . - Experience developing LLM-based applications, chatbots, AI assistants, or AI agents. - Strong knowledge of Prompt Engineering and LLM evaluation techniques. - Experience implementing RAG architectures , embeddings, vector search, and knowledge retrieval. - Programming experience in Python ; experience with JavaScript/TypeScript is a plus. - Experience working with REST APIs, JSON, databases, and third-party integrations. - Familiarity with AI/ML frameworks such as LangChain, LlamaIndex, or comparable frameworks . - Experience with vector databases such as Pinecone, Weaviate, Milvus, Chroma, or similar technologies . - Understanding of cloud platforms such as AWS, Azure, or IBM Cloud . - Familiarity with Docker, Git, CI/CD, and production deployment practices. - Strong analytical, problem-solving, and communication skills. Preferred Qualifications - Experience building AI agents and agentic workflows . - Experience with Claude tool use/function calling and enterprise AI integrations. - Experience with MCP (Model Context Protocol) or similar AI integration approaches. - Experience with model evaluation, observability, and AI application monitoring. - Knowledge of fine-tuning, model adaptation, embeddings, and NLP techniques. - Experience integrating AI solutions with enterprise systems and business applications. - Exposure to Responsible AI, AI security, privacy, and LLM governance. Originally posted on Himalayas
- AI-Engineer
- Machine-Learning-Engineer
- Generative-AI-Engineer
- LLM-Engineer
- Artificial-Intelligence-Engineer
- AI-Engineering
- Artificial-Intelligence-Engineering
- AI-Engineering-Specialist
Наблюдалась 2026-10-14, впервые 2026-10-14, источник — Himalayas (JSON API).