AI Engineer

Key Responsibilities:

• Design and develop AI-powered applications using LLMs, RAG, prompt engineering, and agentic AI frameworks.
• Build autonomous and semi-autonomous agents with tool-calling, memory, orchestration, and guardrails.
• Develop scalable backend services (REST/GraphQL APIs, microservices, integrations) and modern frontend applications (React, AI-native UX).
• Create data pipelines for structured/unstructured data, embeddings, retrieval, and knowledge management.
• Deploy and manage cloud-native solutions using containers, CI/CD, security best practices, and performance optimization.
• Ensure responsible AI practices, including data privacy, reliability, observability, and auditability.

Required Skills:

• Strong experience in Python and/or TypeScript/JavaScript.
• Hands-on expertise with LLMs, RAG, prompt engineering, embeddings, and AI agent frameworks.
• Experience in React, API development, cloud platforms (Azure/AWS/GCP), Docker, and microservices.
• Knowledge of AI evaluation, guardrails, monitoring, and production deployment.
• Excellent problem-solving, communication, and collaboration skills.