AI Engineer
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Job Description
We are seeking a highly skilled **AI Engineer with 5\+ years of experience** to lead the design, development, and optimization of cutting\-edge generative AI solutions. In this role, you will leverage advanced LLM architectures, automation frameworks, and cloud infrastructure to build scalable, cost\-efficient AI applications.The ideal candidate has a deep understanding of Anthropic's Claude ecosystem (including Opus, Artifacts, and specialized prompt engineering controls like EffortLevel), next\-generation coding paradigms (UltraCode), and robust cloud/automation pipelines (Azure, n8n).
- *Key Responsibilities**
- **AI Architecture \& Implementation:** Design and deploy advanced AI workflows using Large Language Models (LLMs) and Retrieval\-Augmented Generation (RAG) frameworks.
- **Claude Ecosystem Expertise:** Utilize Anthropic’s model family (including Claude Opus) alongside specialized platform features like Claude Artifacts and Claude Design principles to build interactive, state\-of\-the\-art user experiences.
- **System Integration:** Interface with and manage integrations across diverse AI architectures, model environments, and developer suites (including Codex, Luna, Terra, Sol, and Astra frameworks).
- **Cost \& Performance Optimization:** Implement strict token cost optimization strategies, context window management, and inference latency reduction techniques.
- **Workflow Automation \& Cloud DevOps:** Build complex, automated backend workflows using n8n. Deploy, scale, and maintain AI infrastructure securely within the Azure cloud environment.
- **CI/CD \& Version Control:** Manage codebase integrity, branching strategies, and deployment pipelines using GitHub.
- **Advanced Prompting \& Control:** Master complex prompt design utilizing parameters like execution effort levels (EffortLevel) and advanced synthetic code generation paradigms (UltraCode).
- *Required Skills \& Qualifications**
- **Core Experience:** Minimum 5 years of professional software engineering experience, with at least 2–3 years dedicated heavily to Generative AI and LLM application development.
- **Model Expertise:** Deep hands\-on experience with Anthropic models (Claude Opus), OpenAI models (Codex architectures), and associated ecosystem layers (Luna, Terra, Sol, Astra).
- **Advanced AI Concepts:** Proven track record building production\-grade RAG pipelines, vector database integrations, and semantic search systems.
- **Optimization \& Controls:** Deep expertise in token reduction strategies, structured outputs, prompt caching, and managing model execution limits (EffortLevel / UltraCode paradigms).
- **Tools \& Infrastructure:**
- Strong workflow automation skills using **n8n**.
- Cloud deployment experience on **Microsoft Azure** (Azure OpenAI Service, VMs, App Services).
- Highly proficient with **GitHub** for version control and CI/CD pipelines.
- **Soft Skills:** Excellent problem\-solving abilities, strong communication skills, and a self\-driven attitude suitable for a fast\-paced environment.
Pay: ₹1,000,000\.00 \- ₹1,500,000\.00 per year
Work Location: In person
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Job Overview
- Job type
- Full-time
- Work mode
- On-site
- Location
- Delhi
- Posted
- 1d ago
- Source
- Indeed