to join our team in designing and building the core infrastructure for
intelligent agent-based systems
. This is a unique opportunity to shape the future of autonomous computing by developing the operating system that powers agents to collaborate, reason, and solve complex tasks at scale.
Key Responsibilities
Design an
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 state persistence.
Develop
abstractions and APIs
for developers to define, manage, and deploy agents in dynamic environments.
Integrate with
LLMs, vector databases, toolchains
, and third-party APIs to enable advanced agent capabilities like reasoning, code generation, and data analysis.
Build robust
agent lifecycle management
, 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 based on real-world applications.
Contribute to documentation, developer tooling, and best practices for the Agent OS ecosystem.
Preferred Qualifications
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
5+ years experience
in systems-level development, distributed systems, or AI infrastructure.
Proficiency in
Python, Rust, or Go
, with experience in asynchronous programming and microservices architecture.
Familiarity with
agentic frameworks
like
LangChain, LangGraph, CrewAI, Autogen, ReAct
, or custom agent implementations.
Understanding of multi-agent patterns such as
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.
Proficient with containerization (Docker), orchestration (Kubernetes), and cloud platforms (AWS, GCP, Azure).
Nice to Have
Contributions to open-source agent frameworks or AI tooling.
Experience with observability and monitoring tools to track agent performance.
Exposure to knowledge graphs, memory management systems, or retrieval-augmented generation (RAG) pipelines.
What do we offer you?
Attractive salary
Large freedom and real influence
No unhealthy competition, team approach to meeting challenges
Remote-first, flexible working culture
Company apartments in cool cities across Europe: work and enjoy a memorable getaway
About Us
We are a software house with 18 years of experience and a global portfolio of projects. We help businesses modernize, scale, and innovate through custom software solutions -- always with a focus on flexibility and quality. Our team embraces unconventional ideas and new technologies, delivering solutions that drive real impact. If you value professionalism, creativity, and a strong engineering culture, you'll feel at home here.
Job Type: Full-time
Pay: 45,000.00-102,000.00 per year
Experience:
AI: 2 years (required)
Python, RUST or Go: 5 years (required)
Work Location: Remote
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