Forward Deployed Engineer

Job not on LinkedIn

🕒 February 26

🇩🇪 Germany – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 76%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nexxa.ai

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2024

🏗️ Construction

🏭 Manufacturing

📦 Logistics

Construction • Manufacturing • Logistics

Nexxa. ai is an industrial AI company building agentic automation for industrial operations. Its platform learns from engineers and employees to take over complex, repetitive workflows, autonomously setting goals and execution criteria to increase productivity and resilience. Delivered as an integrated solution that works with existing technology stacks, Nexxa. ai positions itself as a SaaS-like enterprise tool that generates immediate ROI for operations teams.

📋 Description

• Engage directly with enterprise and strategic customers to understand their workflows, data, and technical requirements. • Architect, build, and deploy custom solutions leveraging GenAI, LLMs, Machine Learning and Vision models, and customer data sources. • Lead full project lifecycles: scoping, solution design, development, implementation, 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 the stack—applications, models, data pipelines, infrastructure, and integrations. • Act as the customer’s trusted technical advisor, enabling adoption of new product capabilities and AI features. • Partner closely with internal product and engineering teams to communicate customer feedback and shape roadmap direction. • Produce high-quality documentation, architecture diagrams, runbooks, and technical assets for customer teams. • Mentor junior engineers and contribute to internal best practices for FDE delivery.

🎯 Requirements

• 5–10+ years in engineering roles such as Forward Deployed Engineer, ML Engineer, Software Engineer, Solutions Engineer, Technical Consultant, or similar. • Strong proficiency in Python, JavaScript/TypeScript, Go, or similar production-oriented languages. • Hands-on experience with Machine Learning, including training, fine-tuning, evaluating, or deploying models. • Direct experience with Generative AI (LLMs, multimodal models) and applying them 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.

🏖️ Benefits

• Innovative Environment: Play a critical role in transforming heavy industries through groundbreaking AI and automation technologies. • Collaborative Culture: Be part of a team that values innovation, discipline, and continuous improvement. • Professional Growth: Benefit from significant opportunities for career development and advancement. • Competitive Compensation: Enjoy a comprehensive salary and equity package reflective of your expertise and contributions.