Descrizione dell'offerta
Who We Are
We don’t just build AI solutions — we create intelligent products that redefine the way enterprises operate. At NTT DATA Romania, our multidisciplinary teams combine expertise in artificial intelligence, software engineering, cloud technologies, and DevOps to develop innovative solutions for global organisations. We embrace emerging technologies, encourage experimentation, and empower our engineers to transform ambitious ideas into scalable enterprise products.
What You’ll Be Doing
Design, develop and maintain AI‑powered enterprise applications
Develop software solutions using AI‑assisted development tools, primarily Claude Code
Evaluate and implement agentic AI frameworks such as LangChain, LangGraph, Pydantic AI and related technologies
Extend and improve existing Dify.ai solutions by developing intelligent agents and reusable AI capabilities
Design and maintain applications using relational and vector databases, including MariaDB and Milvus
Develop AI solutions leveraging large‑language‑model embeddings and Retrieval‑Augmented‑Generation concepts
Build modern dashboarding and front‑end solutions for AI‑driven applications
Work with locally deployed LLMs using vLLM and Qwen
Collaborate closely with DevOps engineers to ensure reliable deployments and scalable environments
Research emerging AI technologies and contribute to technical and architectural decisions
What You’ll Bring Along
Degree in Computer Science, Artificial Intelligence, Software Engineering or a comparable field
Extensive experience developing software solutions using modern programming practices
Strong understanding of LLMs, Retrieval‑Augmented‑Generation, embeddings and vector search
Hands‑on experience with AI orchestration frameworks such as LangChain, LangGraph, Pydantic AI, Dify.ai or equivalent
Experience working with relational databases and vector databases such as MariaDB and Milvus
Knowledge of Linux environments and contemporary software‑development workflows
Good understanding of CI/CD pipelines and DevOps principles
Experience with Git and collaborative software‑development practices
Passion for innovation, experimentation and building AI‑powered enterprise solutions
Knowledge of data science, infrastructure or cyber‑security is considered an advantage
Strong analytical thinking and problem‑solving skills
Excellent communication skills in English mandatory
#J-18808-Ljbffr
We don’t just build AI solutions — we create intelligent products that redefine the way enterprises operate. At NTT DATA Romania, our multidisciplinary teams combine expertise in artificial intelligence, software engineering, cloud technologies, and DevOps to develop innovative solutions for global organisations. We embrace emerging technologies, encourage experimentation, and empower our engineers to transform ambitious ideas into scalable enterprise products.
What You’ll Be Doing
Design, develop and maintain AI‑powered enterprise applications
Develop software solutions using AI‑assisted development tools, primarily Claude Code
Evaluate and implement agentic AI frameworks such as LangChain, LangGraph, Pydantic AI and related technologies
Extend and improve existing Dify.ai solutions by developing intelligent agents and reusable AI capabilities
Design and maintain applications using relational and vector databases, including MariaDB and Milvus
Develop AI solutions leveraging large‑language‑model embeddings and Retrieval‑Augmented‑Generation concepts
Build modern dashboarding and front‑end solutions for AI‑driven applications
Work with locally deployed LLMs using vLLM and Qwen
Collaborate closely with DevOps engineers to ensure reliable deployments and scalable environments
Research emerging AI technologies and contribute to technical and architectural decisions
What You’ll Bring Along
Degree in Computer Science, Artificial Intelligence, Software Engineering or a comparable field
Extensive experience developing software solutions using modern programming practices
Strong understanding of LLMs, Retrieval‑Augmented‑Generation, embeddings and vector search
Hands‑on experience with AI orchestration frameworks such as LangChain, LangGraph, Pydantic AI, Dify.ai or equivalent
Experience working with relational databases and vector databases such as MariaDB and Milvus
Knowledge of Linux environments and contemporary software‑development workflows
Good understanding of CI/CD pipelines and DevOps principles
Experience with Git and collaborative software‑development practices
Passion for innovation, experimentation and building AI‑powered enterprise solutions
Knowledge of data science, infrastructure or cyber‑security is considered an advantage
Strong analytical thinking and problem‑solving skills
Excellent communication skills in English mandatory
#J-18808-Ljbffr
Candidatura e Ritorno (in fondo)
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