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Agentic AI Software Engineer
ICT
💰 Salary Not shared
📊 Market 5,000 EUR–8,000 EUR/mo (60,000 EUR–96,000 EUR/yr)
About the Company
Machine Learning Reply is specialized in providing AI services and solutions to guide its customers towards digitalisation, helping them to become more competitive and data driven as a result of Smart Analytics, Machine Learning and Artificial Intelligence. The consultative approach, the functional expertise and the highly specialized technological components are the key enablers through which Machine Learning Reply builds a tailored proposal, to meet the needs of the market and the individual customer. The company operates in the main industries offering itself as a reference point in facing digital challenges. The collaboration with prestigious technological and institutional partners allows the company to remain aligned with the main sector trends and consequently offer products and services in line with the highest market standards. IT Services and IT Consulting Specialties: Machine Learning, Artificial Intelligence, Natural Language Processing, Deep Learning, Image Recognition, Text Mining, Intelligent Process Automation, Reinforcement Learning, Computer Vision
About the Role
We are looking for a skilled and motivated Consultant to join our team. The ideal candidate combines strong software engineering expertise with hands-on experience in modern AI systems, including agentic AI and generative AI applications. You will support our clients in designing and building intelligent, production-ready systems that leverage LLMs, autonomous agents, and scalable cloud architectures.
Responsibilities
- ● Design, build, and deploy scalable, production-grade systems on cloud platforms such as AWS, GCP, or Azure.
- ● Develop and operate agentic AI systems, including multi-step workflows, tool integration, and autonomous decision-making components.
- ● Lead end-to-end implementation of AI-driven features, from prototyping to production deployment.
- ● Build high-performance APIs and backend services for AI applications using frameworks such as FastAPI, Flask, or Spring Boot.
- ● Integrate generative AI solutions into enterprise environments.
- ● Design and implement robust orchestration and retrieval pipelines for scalable AI applications.
- ● Set up and maintain MLOps pipelines and CI/CD workflows for continuous integration, evaluation, and deployment.
- ● Ensure software quality through testing, monitoring, observability, and performance optimization.
- ● Collaborate closely with clients and cross-functional teams to identify requirements and deliver impactful AI solutions.
Benefits
- ● Work on innovative AI and Software Engineering projects across industries.
- ● Expand your skills in areas such as MLOps, cloud architecture, data engineering, and generative AI.
- ● Collaborate with top technology partners in the cloud, AI, and automation ecosystem.
- ● Access to training, certifications, and interdisciplinary projects.
- ● Join a vibrant community with hackathons, conferences, and knowledge-sharing events.
- ● Award-winning office space in downtown Munich with great transport connections.
- ● Flexible working model between client site, Reply office, and remote work.
- ● Deutschlandticket for public transport.
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