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Agentic AI Software Engineer
Machine Learning Reply · Remote, Bayern, Germany
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 (PoC) 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 (LLMs, vector databases, RAG pipelines, orchestration frameworks like LangChain/LangGraph) into enterprise environments.
- Design and implement robust orchestration and retrieval pipelines for scalable AI applications.
- Set up and maintain MLOps / LLMOps 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.
What we offer you
- Work on innovative AI and Software Engineering projects across industries (Banking, Insurance, Automotive, Retail, etc.).
- 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.
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