Home
Jobs
Saved
Resumes
Senior AI Engineer – Enterprise GenAI, SAP Environment at PulseRise Technologies | JobVerse
JobVerse
Home
Jobs
Recruiters
Companies
Pricing
Blog
Jobs
/
Senior AI Engineer – Enterprise GenAI, SAP Environment
PulseRise Technologies
Remote
Website
LinkedIn
Senior AI Engineer – Enterprise GenAI, SAP Environment
Czechia
Full Time
1 hour ago
No Sponsorship
Apply Now
Key skills
AWS
Azure
Cloud
Distributed Systems
Django
Docker
ETL
Flask
Java
JavaScript
Kubernetes
Microservices
Node.js
Python
AI
ML
GenAI
LLM
MLOps
MLflow
Databricks
FastAPI
GitHub Actions
GitHub
Caching
SAP
Agile
Scrum
Kanban
CI/CD
About this role
Role Overview
Design, develop, and deploy enterprise AI and GenAI services
Guide solutions from PoC to secure production rollout
Build and integrate multi-agent AI systems and LLM-based products
Work with SAP data products and underlying data architectures
Manage ingestion, transformation, caching, and indexing workflows
Support distributed systems and big data processing environments
Implement CI/CD pipelines and MLOps best practices
Automate model training, validation, testing, and deployment
Work with Azure ML, Databricks, or AWS environments
Implement secure API design, secrets management, and access control
Contribute to security concept design
Ensure observability, reliability, and compliance in AI deployments
Collaborate with AI Product Owners, Data Scientists, and stakeholders
Create architecture diagrams, ADRs, and technical documentation
Ensure high-quality, well-documented codebases.
Requirements
5+ years of professional software engineering experience
Strong Python expertise (mandatory)
Experience with Node.js or Java (at least one additional language)
Backend framework experience (FastAPI, Flask, or Django)
Microservices architecture experience
Docker and Kubernetes experience
Experience with GitHub Actions, MLFlow, or similar orchestration tools
Hands-on ETL, API integration, and model deployment experience
Experience implementing CI/CD and MLOps in cloud environments
Knowledge of distributed systems and big data platforms
Experience working in Agile frameworks (Scrum, Kanban)
Fluent English and strong problem-solving mindset.
Tech Stack
AWS
Azure
Cloud
Distributed Systems
Django
Docker
ETL
Flask
Java
JavaScript
Kubernetes
Microservices
Node.js
Python
Benefits
Flexible work arrangements
Professional development
Apply Now
Home
Jobs
Saved
Resumes