Remote job
Agentic AI Software Engineer
Machine Learning Reply
Job briefing
Read from the posting and checked against our job index
- Apply from
- Germany
- Work model
- Remote
- Salary
- Not stated
- Roles in the same field in our index: median €6,000 per month, middle range €4,375 to €7,292 (125 postings).
- Level
- Senior
Tech stack
- AWS
- GCP
- Azure
- FastAPI
- Flask
- Spring Boot
- LLMs
- vector databases
- RAG
- LangChain
Good to know
- Listed with us since
- September 3, 2026, republished on October 27, 2026
- Employer
- 12 more open roles at Machine Learning Reply in our index. Of these, 9 fully remote. See remote jobs at Machine Learning Reply
- Benefits in the posting
- Training, Certifications, Hackathons, Conferences, Award-winning office space in downtown Munich, Flexible working model
Generated automatically by nomado24 from the posting and our index. Not an employer statement. The original posting is authoritative.
Job description
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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This role is provided by an external source. Applications are handled on the source website.