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AI Engineer Python, LLMs, RAG, MCP, A2A Warsaw, Łódź, Gdańsk
Diverse CG Sp. z o.o. Sp.k.
5 hours ago
Full-time
On-site
Poland, New York, United States
Responsibilities
Design, develop, and scale AI applications end-to-end
Prototype, validate, and deliver AI use cases from concept and PoC to production
Build Agentic AI and Generative AI solutions using LLMs, RAG, MCP, A2A, and related technologies
Integrate AI solutions with vector databases, APIs, cloud platforms, and enterprise systems
Explore new AI tools, frameworks, and technologies, and create PoCs to assess their business value
Deploy, monitor, and optimise AI solutions on cloud platforms such as AWS, Azure, or GCP
Design scalable and reliable AI/ML systems, including model selection, deployment, monitoring, and performance optimisation
Ensure proper documentation, compliance, risk management, and security standards
Promote ethical, safe, and responsible AI practices across delivered solutions
Collaborate with both technical and business stakeholders to translate needs into practical AI solutions
Mentor team members and share best practices related to Artificial Intelligence
Requirements
Master's degree in Computer Science, Engineering, Data Science, or equivalent
5+ years of experience building and deploying Machine Learning or AI solutions in production
Experience in developing scalable systems and production-ready applications
Hands‑on experience with Agentic AI frameworks such as LangGraph, CrewAI, AutoGen, or similar
Experience with Generative AI, including LLMs, RAG, and MCP
Strong AI/ML system design skills, including model selection, deployment, monitoring, and optimisation
Practical cloud experience with AWS, Azure, or GCP
Proven track record of delivering solutions from idea through PoC to scalable product
Strong communication skills and ability to work effectively with both technical and business stakeholders
Fluency in English (both written and spoken)
Nice to have
Experience with A2A protocols and multi-agent systems
Knowledge of agent testing, monitoring, reliability, and observability
Understanding of AI safety, alignment, and ethics
Familiarity with EU AI regulations
Experience working in regulated industries, such as banking or finance
Offer
Private medical care
Co-financing for the sports card
Constant support of dedicated consultant
Personal Consulting Agency (License No. 4642)
#J-18808-Ljbffr
Design, develop, and scale AI applications end-to-end
Prototype, validate, and deliver AI use cases from concept and PoC to production
Build Agentic AI and Generative AI solutions using LLMs, RAG, MCP, A2A, and related technologies
Integrate AI solutions with vector databases, APIs, cloud platforms, and enterprise systems
Explore new AI tools, frameworks, and technologies, and create PoCs to assess their business value
Deploy, monitor, and optimise AI solutions on cloud platforms such as AWS, Azure, or GCP
Design scalable and reliable AI/ML systems, including model selection, deployment, monitoring, and performance optimisation
Ensure proper documentation, compliance, risk management, and security standards
Promote ethical, safe, and responsible AI practices across delivered solutions
Collaborate with both technical and business stakeholders to translate needs into practical AI solutions
Mentor team members and share best practices related to Artificial Intelligence
Requirements
Master's degree in Computer Science, Engineering, Data Science, or equivalent
5+ years of experience building and deploying Machine Learning or AI solutions in production
Experience in developing scalable systems and production-ready applications
Hands‑on experience with Agentic AI frameworks such as LangGraph, CrewAI, AutoGen, or similar
Experience with Generative AI, including LLMs, RAG, and MCP
Strong AI/ML system design skills, including model selection, deployment, monitoring, and optimisation
Practical cloud experience with AWS, Azure, or GCP
Proven track record of delivering solutions from idea through PoC to scalable product
Strong communication skills and ability to work effectively with both technical and business stakeholders
Fluency in English (both written and spoken)
Nice to have
Experience with A2A protocols and multi-agent systems
Knowledge of agent testing, monitoring, reliability, and observability
Understanding of AI safety, alignment, and ethics
Familiarity with EU AI regulations
Experience working in regulated industries, such as banking or finance
Offer
Private medical care
Co-financing for the sports card
Constant support of dedicated consultant
Personal Consulting Agency (License No. 4642)
#J-18808-Ljbffr