Sr. AI Engineer/ AI Architect

Responsibilities

Position: Sr. AI Engineer/ AI Architect

Company Overview:

Klearnow is a leading technology company at the forefront of the AI revolution. We are dedicated to harnessing the power of artificial intelligence to drive innovation, enhance user experiences, and solve complex challenges across various industries. Our team is composed of passionate individuals who strive to create cutting-edge AI solutions that make a positive impact on the world.

Role Overview

We are looking for a hands-on Sr. AI Engineer/ AI Architect who is passionate about building production-grade AI systems and intelligent automation at scale. You will work on AI-driven backend services, LLM-powered workflows, and distributed AI systems that power mission-critical trade and logistics operations.

Key Responsibilities

• Design and build AI-powered applications and intelligent automation systems.
• Develop scalable AI backend services using Python.
• Build LLM-based workflows and AI agents to automate document and data processing.
• Develop high-performance AI services using gRPC.
• Work with event-driven architectures using Kafka for large-scale data processing.
• Build AI pipelines for data ingestion, processing, and transformation.
• Integrate AI capabilities with microservices-based architecture.
• Rapidly prototype AI solutions and deploy them in production environments.
• Optimize AI systems for performance, scalability, and reliability.
• Collaborate closely with product, engineering, and platform teams.

Key Qualifications

• 6+ years of experience in AI engineering, backend engineering, or related roles.
• Strong programming experience in Python.
• Experience building AI systems, LLM applications, or intelligent automation workflows.
• Experience with Kafka or similar event streaming platforms.
• Experience building APIs/services using gRPC or similar technologies.
• Good understanding of distributed systems and microservices architecture.
• Familiarity with AI/ML frameworks such as PyTorch, TensorFlow, or Keras (good to have).
• Experience with LLM frameworks, RAG pipelines, or AI agents is a plus.
• Strong analytical thinking and problem-solving skills.