Agentic AI Software Engineer

Machine Learning Reply; Deutschland; Hybrid; EUR 80.000 - 110.000; Vollzeit

Benefits dieser Stelle

Office in Munich downtown

Flexible client site/office/remote

Deutschlandticket

Zusammenfassung

Machine Learning Reply is seeking a Consultant who blends software engineering with hands-on AI system work. You will design, build, and deploy production‑ready platforms that leverage LLMs, autonomous agents, and scalable cloud architectures.

You will lead end-to-end AI features, create robust APIs with FastAPI/Flask/Spring Boot, integrate generative AI solutions, and establish MLOps / LLMOps pipelines while ensuring quality, testing, monitoring, and cross‑functional collaboration.

Qualifikationen

• Experience designing and building production AI systems.
• Strong cloud platform experience (AWS, GCP, or Azure).
• Hands-on work with LLMs, autonomous agents, or generative AI.
• Experience with CI/CD, testing, monitoring, and observability.

Aufgaben

• Design, build, and deploy scalable AI systems on cloud platforms.
• Develop and operate agentic AI systems with multi-step workflows and automation.
• Lead end-to-end AI feature delivery from PoC to production.
• Build high-performance APIs and backend services (FastAPI/Flask/Spring Boot).
• Integrate generative AI solutions (LLMs, vector DBs, RAG) into enterprise envs.
• Design orchestration and retrieval pipelines for scalable AI apps.
• Set up MLOps/LLMOps pipelines and CI/CD workflows.
• Ensure software quality with testing, monitoring, and performance tuning.
• Collaborate with clients and cross-functional teams to deliver AI solutions.

Kenntnisse

Software engineering

AI systems

Cloud architectures

MLOps

API development

Tools

FastAPI

Flask

Spring Boot

LangChain

LangGraph

Jobbeschreibung

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.
• Deutschlandticket for public