Applied AI Engineer

• 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.

Qualifications

• 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.

What We’re Looking For

• A customer-obsessed senior engineer who thrives in deeply technical, fast-moving environments.
• A creative problem solver who can translate vague requirements into robust, scalable solutions.
• Someone excited to combine software engineering with real-world AI deployments.
• A leader who can own outcomes end-to-end and influence both customer and internal teams.

Why Join Nexxa.AI http://Nexxa.AI?

• 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.

If you're passionate about development and eager to shape the infrastructure powering advanced AI solutions, we'd love to connect.

• 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 in deploying or fine-tuning CV models (YOLO, SAM, CLIP, DETR, etc.).
• Experience in startup or high-growth environments.

Nexxa.ai http://Nexxa.ai is building artificial super intelligence for heavy industries — enabling machines, systems and operations to think, decide and act autonomously across manufacturing, large-scale infrastructure, logistics and legacy environments. Our mission is to translate deep technical breakthroughs into operational reality, solving some of the hardest systems-level problems in industry.

Role Overview

We’re looking for Applied AI Engineers to work as forward deployed directly with customers and lead the end-to-end delivery of high-impact technical solutions. You’ll embed deeply with customer teams, translating real-world challenges into production-ready systems that leverage Generative AI, Computer Vision, and Machine Learning.