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 rapid-paced environment.

Pay: ₹1,000,000.00 - ₹1,500,000.00 per year

Work Location: In person

📌 AI Engineer (Janakpuri)
🏢 OSS Education
📍 Janakpuri