Data Science with GenAI

Data

Towarowa 28, Warszawa

DCG

150 - 170PLN

Net per hour - B2B

Full-time

B2B

Mid

Remote

Tech stack

Polish

B2

English

B2

Machine Learning

regular

LLM

regular

AI

regular

Go

regular

Rust

regular

Langchain

regular

Langgraph

regular

Python

regular

Job description

As a recruitment company, DCG understands that every business is powered by experienced professionals. Our management style and partnership approach enable us to meet your needs and provide continuous support. Due to our ongoing growth and the large number of recruitment projects we undertake for our partners, we are currently looking for:

Data Science with GenAI

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

• Knowledge of containerization (Docker), orchestration (Kubernetes), and cloud platforms (AWS, GCP, Azure)

• Knowledge of English at B2 level (minimum)

Nice to have:

• Experience with multi-agent systems, behavior trees, or reinforcement learning

Offer:

• Private medical care

• Co-financing for the sports card

• Training & learning opportunities

• Constant support of dedicated consultant

• Employee referral program

Published: 13.08.2025

Office location