About the job
Nexxa.ai is at the forefront of developing artificial super intelligence tailored for heavy industries. Our innovative solutions empower machines, systems, and operations to think, make autonomous decisions, and act independently in sectors such as manufacturing, large-scale infrastructure, logistics, and legacy environments. Our objective is to turn technical advancements into practical applications, tackling some of the most challenging systems-level issues within various industries.
Role Overview
As a Senior Forward Deployed Engineer, you will work closely with our clients to spearhead the delivery of high-impact technical solutions. You will integrate with client teams to translate real-world challenges into scalable, production-ready systems utilizing Generative AI, Computer Vision, and Machine Learning.
This role encompasses a combination of software development, ML engineering, architectural design, and consulting. Your responsibilities will include designing and deploying innovative solutions, integrating models, crafting custom workflows, and guiding clients through successful implementations. Please note that this position requires frequent travel to customer sites.
Key Responsibilities
Engage with enterprise and strategic clients to comprehend their workflows, data, and technical needs.
Design, build, and deploy bespoke solutions leveraging Generative AI, Large Language Models, Machine Learning, and Vision Models with client data resources.
Oversee full project lifecycles, including scoping, solution design, development, implementation, testing, deployment, and iteration.
Integrate and enhance AI/ML pipelines, covering data preprocessing, prompt engineering, model selection, and evaluation.
Develop reliable, scalable software integrations through APIs, cloud services, and containerized systems.
Diagnose intricate technical challenges across the stack—applications, models, data pipelines, infrastructure, and integrations.
Serve as the customer’s trusted technical advisor, facilitating the adoption of new product capabilities and AI features.
Collaborate closely with internal product and engineering teams to relay customer feedback and influence product roadmap directions.
Create high-quality documentation, architectural diagrams, runbooks, and technical assets for customer teams.

