Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

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.

Requirements

• Completed university studies with a strong quantitative or technical background (e.g., Computer Science, Data Science, Engineering, or similar).
• Initial consulting and project management experience.
• Ability to work effectively with others toward common objectives.
• Flexibility in taking on different roles within a team and understanding customer needs.
• Solid programming experience in at least two programming languages such as Python, Java, Rust, or JavaScript.
• Practical experience deploying ML/AI models into production environments (on-premises or cloud).
• Experience with different database technologies, including SQL and NoSQL, with knowledge of database design, data modeling, and data management.
• Experience with large language models (LLMs), prompt engineering, fine-tuning, and integrating generative AI into actual solutions.
• Strong communication skills for explaining technical concepts to both technical and business stakeholders.
• Fluent in English and at least C1-level German.
• Hands-on experience with cloud AI services.
• Understanding of MLOps concepts (model registry, monitoring, CI/CD).
• Knowledge of modern AI/ML frameworks and tools such as PyTorch, TensorFlow, Hugging Face, LangChain, or OpenAI APIs.
• Awareness of software engineering principles (SOLID, testing, version control).
• Familiarity with containerization and orchestration (Docker, Kubernetes).
• Cloud certifications are a plus.

Skills

• Software Engineering
• AI Systems
• Agentic AI
• Generative AI
• LLMs
• Autonomous Agents
• Cloud Architectures
• AWS
• GCP
• Azure
• FastAPI
• Flask
• Spring Boot
• Vector Databases
• RAG Pipelines
• LangChain
• LangGraph
• MLOps
• LLMOps
• CI/CD
• Testing
• Monitoring
• Observability
• Performance Optimization
• Python
• Java
• Rust
• JavaScript
• SQL
• NoSQL
• Prompt Engineering
• Fine-tuning
• PyTorch
• TensorFlow
• Hugging Face
• OpenAI APIs
• SOLID
• Version Control
• Docker
• Kubernetes

Location

• Munich
• Berlin

Work Type

• Flexible working model (client site, Reply office, remote)

Experience Level

• Initial consulting and project management experience
• Practical experience deploying ML/AI models into production environments
• Experience with different database technologies
• Experience with large language models (LLMs)
• Hands-on experience with cloud AI services
• Awareness of software engineering principles

Education Level

• Completed university studies with a strong quantitative or technical background (e.g., Computer Science, Data Science, Engineering, or similar).

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
• Deutschlandticket for public transport

About the Company

• Machine Learning Reply