AI Engineer- Anthropic

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 experiencein 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