Nexxa.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.

Forward Deployed Engineer