Al Engineer - Full Stack Al Backend & Infrastructure

Role Overview

You will own the complete AI backend end-to-end - from agent architecture and model integration to deployment, monitoring, and continuous improvement. You are the single owner of the AI stack: designing agents, building retrieval pipelines, optimizing costs, deploying to production, and iterating based on real-world usage. This role sits at the intersection of AI engineering, backend engineering, and DevOps.

Responsibilities

• Design and scale a multi-agent orchestration system with 10+ specialized agents
• Implement parallel execution, conditional routing, and shared state handling
• Manage multi-model, multi-provider architecture and optimize token usage
• Build hybrid search pipelines using vector databases and keyword search
• Develop scalable backend services for AI pipelines with streaming responses
• Deploy and manage services using cloud infrastructure and maintain CI/CD pipelines
• Build monitoring systems for latency, errors, and model performance
• Optimize inference costs across models and workflows

Requirements

• Strong experience with backend development (Python preferred)
• Hands-on experience with LLMs and AI systems in production
• Experience with vector databases and retrieval systems
• Understanding of distributed systems and async processing
• Familiarity with cloud platforms (AWS/GCP/Azure)
• 4+ Years of experience

Skills

• Python
• LLMs
• AWS
• Vector Databases
• DevOps

Nice to Have

• Experience with multi-agent frameworks
• Knowledge of prompt engineering at scale
• Experience with real-time AI applications
• Exposure to monitoring and observability tools

Benefits

• Flexible schedule
• Food provided
• Paid sick time
• Provident Fund