Description:

Design systems for real-time collaboration between AI agents and developers.
Build and implement agentic systems for task planning, code writing, testing, and application deployment.
Integrate LLMs (especially Claude) into production workflows.
Design tool-use and agent orchestration layers.
Implement strategies for long-context management and multi-step reasoning loops.
Define architecture for scalable, distributed AI systems on AWS.
Evaluate .NET and alternative ecosystems for optimal solutions.
Collaborate with engineering teams to bring architecture into production.

Requirements:

Proven experience in building or designing AI/agentic systems.
Deep understanding of LLM integrations, function calling, agent orchestration, reasoning loops, and context management.
Hands-on experience with AWS and complex cloud-native architectures.
Strong background in distributed systems and scalable platform design.
Experience with .NET C# and Angular systems.
Focus on SDLC-AI Driven development.
Ability to make impactful architectural decisions in dynamic environments.
Strong communication skills and ability to influence technical direction.
English proficiency at C1 level (written and verbal).

Skills

Benefits