Applied AI Engineer

About This Opportunity

We are representing a confidential AI technology company that is transforming how heavy industries leverage autonomous systems and intelligent automation. Our talent team is seeking an Applied AI Engineer to join their forward-deployed engineering organization in Munich, Germany (Hybrid).

In this role, you'll work directly at customer sites, delivering end-to-end technical solutions that combine Generative AI, Computer Vision, and Machine Learning. This is a unique blend of software engineering, ML engineering, architecture, and technical consulting—ideal for senior engineers who thrive in customer-facing, high-impact environments.

This position requires frequent travel to customer sites.

Responsibilities

• Engage directly with enterprise customers to understand their workflows, data environments, and technical requirements
• Architect, build, and deploy custom solutions leveraging GenAI, LLMs, Computer Vision models, and customer data sources
• Lead full project lifecycles from scoping and solution design through development, testing, deployment, and iteration
• Integrate and optimize AI/ML pipelines, including data preprocessing, prompt engineering, model selection, and evaluation
• Build reliable, scalable software integrations using APIs, cloud services, and containerized systems
• Troubleshoot complex technical issues across applications, models, data pipelines, infrastructure, and integrations
• Act as the customer's trusted technical advisor, enabling adoption of new AI capabilities
• Partner with internal product and engineering teams to communicate customer feedback and influence roadmap priorities
• Produce high-quality documentation, architecture diagrams, runbooks, and technical assets
• Mentor junior engineers and contribute to internal best practices for solution delivery

What We're Looking For

Required:

• 5–10+ years in engineering roles such as Forward Deployed Engineer, ML Engineer, Software Engineer, Solutions Engineer, or Technical Consultant
• Strong proficiency in Python, JavaScript/TypeScript, Go, or similar production languages
• Hands-on experience with Machine Learning, including training, fine-tuning, evaluating, or deploying models
• Direct experience with Generative AI (LLMs, multimodal models) applied to real-world problems
• Exposure to Computer Vision techniques (detection, segmentation, OCR, embeddings, multimodal pipelines)
• Strong knowledge of ML frameworks (PyTorch, TensorFlow, OpenCV, etc.)
• Experience with cloud infrastructure (AWS, GCP, Azure) and containerization (Docker, Kubernetes)
• Excellent communication skills with both technical and non-technical audiences
• Comfort leading customer-facing engagements and guiding stakeholders through ambiguity
• Willingness and ability to travel frequently

Preferred:

• Prior experience in consulting, technical solutions, professional services, or customer-embedded technical roles
• Experience with vector databases, embedding pipelines, or retrieval-augmented generation (RAG)
• Experience building APIs, microservices, or distributed systems
• Familiarity with MLOps tools (Docker, Kubernetes, model registries, CI/CD for ML)
• Background deploying or fine-tuning CV models (YOLO, SAM, CLIP, DETR, etc.)
• Experience in startup or high-growth environments

How We Work with You

Candidates apply directly through Get A Job.ai. Our recruiting team will conduct an initial screening to understand your background and match you with the right opportunity. Once qualified, we submit your profile to our client for consideration. Please do not attempt to contact the client directly—all communication flows through our talent team to ensure a smooth, professional process.

Pay

Compensation details including salary and equity will be discussed during the interview process and are competitive within the German AI engineering market.

Equal Opportunity: Get A Job.ai is committed to providing equal employment opportunities to all qualified candidates regardless of race, color, religion, sex, national origin, age, disability, or any other protected characteristic.