Data and AI Engineer - Enterprise Agentic Solutions

Covisian • Roma, LAZ, IT

Actively Hiring

Full-time Posted 3 months ago

Responsibilities

check_circle Design, build, and optimize data and AI solutions for enterprise clients
check_circle Contribute to the development and operationalization of data pipelines, AI models, and intelligent services in production environments
check_circle Support the implementation of scalable architectures across cloud and multi-cloud ecosystems
check_circle Develop and improve batch and streaming data processing pipelines using modern distributed frameworks
check_circle Build and enhance CI/CD pipelines, automation practices, and release processes for data and AI workloads
check_circle Contribute to data lake, ingestion, transformation, and export architectures supporting business-critical use cases
check_circle Troubleshoot production issues and improve platform reliability, performance, and operational efficiency
check_circle Collaborate with cross-functional teams to translate technical requirements into robust, maintainable, and scalable enterprise solutions

Experience with LLM integration, LLMOps, or AI model deployment in enterprise applications
Familiarity with frameworks and tools such as Ray or similar environments for model serving and orchestration
Exposure to computer vision, fraud detection, or intelligent automation use cases
Experience working in multi-cloud client environments
Background spanning both software engineering and data platform delivery

check_circle The opportunity to work on high-impact transformation initiatives at the intersection of data engineering, AI deployment, cloud infrastructure, and agentic solutions
check_circle Exposure to challenging enterprise environments with real engineering responsibility and end-to-end platform impact
check_circle A role within a business unit focused on business insights, AI-driven transformation, and agentic solutions
check_circle Professional growth in a company with a business-first, technology-agnostic mindset
check_circle A collaborative environment focused on innovation, engineering quality, and long-term value creation
check_circle Proven experience in roles such as Data Engineer, AI Engineer, ML Engineer, Platform Engineer, or Senior Software Engineer
check_circle Strong hands-on background with Python, Java, or Scala
check_circle Solid experience with cloud platforms, especially Azure, AWS and GCP
check_circle Experience with data engineering and distributed processing ecosystems such as Spark, Kafka, Hadoop, Hive, or NiFi
check_circle Strong knowledge of containerization, orchestration, and DevOps tools, including Docker, Kubernetes, Jenkins, or similar technologies
check_circle Familiarity with SQL / NoSQL technologies and modern data architectures
check_circle Experience in deployment, optimization, and troubleshooting of production-grade data or AI workloads
check_circle Strong problem-solving skills, ownership, and a collaborative engineering mindset

Remote Ai Ai Engineer