About the Position

We are seeking a talented and motivated Agent OS Developer to join our team in designing and building the core infrastructure that powers intelligent agent-based systems. You will be instrumental in creating the operating system that orchestrates agent behaviors, manages workflows, and integrates with external tools and APIs. This is a unique opportunity to shape the next generation of computing where autonomous agents collaborate to solve complex tasks.

Responsibilities

Design and develop the Agent Operating System (Agent OS) to support multi-agent coordination, task planning, and execution.
Implement core services such as memory, perception, planning, scheduling, environment modeling, and long-term state persistence.
Develop abstractions and APIs that allow developers to define, manage, and deploy agents in dynamic environments.
Integrate with LLMs, vector stores, toolchains, and third-party APIs to enable agent capabilities such as reasoning, code generation, and data analysis.
Build agent lifecycle management tools, including initialization, state management, failure recovery, and inter-agent communication.
Ensure the Agent OS is secure, scalable, fault-tolerant, and optimized for low-latency interactions.
Collaborate with research, ML, and platform teams to test and iterate on features grounded in real-world use cases.
Contribute to documentation, developer tooling, and best practices for building with Agent OS.

Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
4+ years of experience in systems-level development, distributed systems, or AI frameworks.
Proficiency in Python, Rust, or Go. Experience with asynchronous programming and microservices architecture.
Familiarity with agentic frameworks like LangChain, LangGraph, CrewAI, Autogen, ReAct, or bespoke task-oriented agents.
Familiarity with patterns like Supervisor, Judge and multi-agent architecture.
Deep understanding of AI/ML infrastructure, including LLMs, embeddings, prompt orchestration, and vector databases.
Experience with multi-agent systems, behavior trees, or reinforcement learning is a plus.
Knowledge of containerization (Docker), orchestration (Kubernetes), and cloud platforms (AWS, GCP, Azure).

Nice to Have

Contributions to open-source agent frameworks or AI tooling.
Experience working with observability and monitoring tools to track agent performance.
Exposure to knowledge graphs, memory management systems, or retrieval-augmented generation (RAG) pipelines.

We Offer

Opportunity to shape the next generation of computing.
Collaborative and innovative work environment.
Competitive compensation package.

About the Company

We are a forward-thinking company dedicated to advancing the field of artificial intelligence. Our mission is to create intelligent agent-based systems that can collaborate to solve complex tasks, driving innovation and efficiency in various industries.

Apply for this Position

Our team will review your application within the next 5 days.

Location: Europe (Remote)

Contact: [email protected] + 420 775 371 991

Senior AI Engineer

Job description