Description

You will lead the design and technical execution of large-scale AI architectures and agentic ecosystems.

Responsibilities

• Design and document target AI architectures, specifically focusing on the KDB layer, product-agnostic semantic layers, and reusable application layers.
• Develop a scalable, product-agnostic agentic ecosystem, defining interaction patterns and communication protocols.
• Architect solutions for integrating diverse knowledge sources like source code and API specifications into a unified semantic layer.
• Drive the technical roadmap by translating high-level designs into detailed technical specifications and work plans.
• Prototype new approaches using LLMs, vector databases, and agent frameworks to evaluate architectural choices.
• Identify and mitigate technical risks regarding scalability, performance, security, and maintainability.

Required Skills

• 5+ years of experience designing and implementing complex, large-scale software and AI/ML systems.
• Deep understanding of AI/ML concepts, algorithms, NLP, and LLMs.
• Hands-on experience with machine learning frameworks such as TensorFlow and PyTorch.
• Proven experience designing, building, and deploying agent-based systems or multi-agent ecosystems.
• Strong software architecture skills in microservices, APIs, data modeling, and distributed systems.
• Proficiency in Python, Java, or Scala.
• Solid understanding of data engineering principles, pipelines, SQL/NoSQL databases, and data warehousing.
• Experience with cloud-native patterns and designing for high reliability and performance.

Key Skills

Education

Any Gradute