Senior AI Engineer

Key Responsibilities:

• Architect, develop, deploy, and maintain production-grade LLM capabilities integrated into customer-facing products and internal workflows.
• Build backend services, APIs, and integrations that connect AI capabilities with product functionality.
• Implement production-ready patterns involving LLMs, RAG, embeddings, vector search, agents, and tool calling.

Requirements:

• Demonstrated hands-on experience building and shipping LLM-powered features into production.
• Strong software engineering background with experience designing APIs and backend services.
• Practical experience with RAG, embeddings, vector search, agentic systems, and LLM APIs.

Benefits:

• Flexible work-from-home arrangement with a $500 home-office setup budget.
• $1,000 annual learning and development budget to support professional growth.
• Visa and relocation support where required.