Senior Gen AI Engineer

DYNE IT Services
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote

Tech stack

Java
API
Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
JIRA
Cloud Computing
Computer Programming
Continuous Integration
Data Integration
ETL
DevOps
Distributed Systems
Django
Github
Python
Node.js
Scrum
Azure
SAP Applications
Software Engineering
Flask
Large Language Models
Multi-Agent Systems
Generative AI
SAP Business Technology Platform
Backend
FastAPI
Containerization
Kubernetes
Machine Learning Operations
Data Pipelines
Docker
Databricks
Microservices

Job description

As part of our Business AI Program, we are building intelligent AI agents that streamline core business processes and significantly enhance productivity. These solutions will empower Sales and Post-Sales teams to focus on high-value customer engagement and accelerate time-to-value.

Requirements

Do you have experience in Scrum?, Do you have a Master's degree?, We are seeking a Senior AI / Generative AI Engineerwho combines strong software engineering fundamentals with hands-on production experience in LLM-powered systems. You will take AI initiatives from proof-of-concept to secure, scalable enterprise deployment., * 6+ years of professional software engineering experience.

  • Proven track record deploying AI/LLM-based systems into production.

Programming

  • Strong expertise in Python (mandatory).
  • Proficiency in Node.js or Java(at least one required).

Backend Architecture

  • Experience with FastAPI, Flask, or Django.
  • Strong understanding of microservices architecture.
  • Knowledge of distributed systems and scalable backend design.

Containerization DevOps

  • Hands-on experience with Docker and Kubernetes.
  • Familiarity with orchestration and automation tools (GitHub Actions, MLflow).

Cloud MLOps

  • Experience building CI/CD and ML Ops pipelines in:
  • Azure ML
  • Databricks
  • AWS

Data Integration

  • Experience with ETL processes.
  • API integrations and data pipeline development.
  • Model deployment and monitoring workflows.

Agile Collaboration

  • Experience working in Agile environments (Scrum, Kanban).

  • Strong communication skills in English.

  • Proactive, solution-oriented mindset.

  • Nice to Have

  • Experience with multi-agent frameworks(LangChain, CrewAI).

  • Exposure to Generative AI architecturesand RAG pipelines.

  • Familiarity with SAP AI Core and SAP BTP.

  • Experience with Jira or SAFe frameworks.

What We're Looking For

  • A hands-on AI engineer who can bridge research and production.
  • Someone who understands both LLM experimentation and enterprise scalability.
  • A builder who prioritizes clean architecture, observability, and maintainability.
  • A professional comfortable working in distributed European teams (CET hours).

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