
Senior AI Engineer – Enterprise GenAI, SAP Environment
PulseRise Technologies
full-time
Posted on:
Location Type: Remote
Location: Czechia
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Job Level
Tech Stack
About the role
- 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
- 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
- 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.
- Experience with multi-agent or GenAI frameworks (LangChain, CrewAI) (nice to have)
- Familiarity with SAP AI Core and SAP BTP (nice to have)
- Experience with Jira (Scrum, SAFe) (nice to have)
Benefits
- Full time remote
- Working with SAP data products
- Professional growth opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonNode.jsJavaFastAPIFlaskDjangoDockerKubernetesCI/CDMLOps
Soft Skills
problem-solvingcollaborationcommunicationleadership