Teams at LITIT

Design, develop, and deploy AI solutions for industrial automation and smart manufacturing. Build Generative AI applications, RAG systems, ML models, data pipelines, APIs, and vector retrieval systems on Azure. Containerize and operate solutions using Docker and Kubernetes while implementing MLOps practices for monitoring, versioning, and lifecycle management. Collaborate with engineering, cloud, data, product, and domain teams to integrate AI into enterprise systems.

Designs, builds, and operates scalable AWS data platforms, including ETL/ELT pipelines, data lakes, lakehouse components, and data mesh solutions. Develops PySpark processing jobs, manages Glue and Lake Formation resources, and builds event-driven serverless workflows using AWS services. The role also supports APIs, monitoring, security, CI/CD, Infrastructure as Code, and production deployments while collaborating with analytics and product teams in Agile environments.

Develop full-stack solutions for an automotive production quality assurance system. Build AWS serverless backends with Lambda, API Gateway, and event-driven integrations; develop React interfaces; automate infrastructure with AWS CDK or Terraform; maintain secure CI/CD pipelines and observability; and implement comprehensive backend and frontend testing. The role requires mandatory hands-on Agentic Coding experience, strong DevSecOps practices, collaboration with international stakeholders, and occasional travel.