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.

AI Engineer- Anthropic

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