Machine Learning Reply
Technology
AgenticAISoftwareEngineer
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“Agentic AI Software Engineer at Machine Learning Reply. Skills: Agentic AI, Generative AI, LLMs, Cloud architecture. Design, build, and deploy systems on cloud platforms. Develop and operate agentic AI systems”
What You'll Achieve.
Deliver impactful AI solutions
Industry & Context.
Troubleshooting
What They're Looking For.
Must Have
University studies with quantitative or technical background, Initial consulting and project management experience, Solid programming experience in at least two languages, Practical experience deploying ML/AI models into production, Experience with SQL and NoSQL databases, Experience with large language models, Fluent in English, C1-level German
Nice to Have
Hands-on experience with cloud AI services, Understanding of MLOps concepts, Cloud certifications are a plus
What You'll Do.
and deploy systems on cloud platforms
Develop and operate agentic AI systems
Integrate autonomous decision-making components
Lead end-to-end implementation of AI-driven features
Build high-performance APIs and backend services
Integrate generative AI solutions into enterprise environments
Design and implement orchestration and retrieval pipelines
Set up and maintain MLOps / LLMOps pipelines
Maintain CI/CD workflows
Ensure software quality through testing
Ensure software quality through monitoring
Ensure software quality through observability
Ensure software quality through performance optimization
Collaborate with clients to identify requirements
Deliver impactful AI solutions
How You'll Work.
Team & Collaboration
Cross-functional teams; Client collaboration
Communication Scope
Explaining technical concepts
Process & Methodology
Project management
Full 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-w
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