Senior AI Engineer at Netcompany1

So, what are the main responsibilities of the Senior AI Engineer in Netcompany? Joining us as a Senior AI Engineer, you will play a key role in the design, development, and deployment of advanced GenAI and LLM solutions for enterprise clients. You will be hands-on in building production-grade AI systems, contributing to architectural decisions, and ensuring high-quality technical delivery across projects. This is a highly technical role with strong client exposure. You will collaborate closely with AI Architects, product owners, and client stakeholders to translate business requirements into robust AI implementations. Your focus will be on building scalable, secure, and high-performing AI components that integrate seamlessly into enterprise ecosystems. You will work across the full lifecycle of AI solutions — from experimentation and prototyping to optimization, deployment, monitoring, and continuous improvement — ensuring that solutions deliver measurable business value. As the Senior AI Engineer, you will: • Design, develop, and deploy end-to-end GenAI and LLM-based applications in enterprise environments. • Implement advanced RAG pipelines, orchestration workflows, prompt engineering strategies, and evaluation frameworks. • Build scalable backend services and APIs that integrate LLM solutions with enterprise systems (CRM, ERP, data platforms, internal tools). • Contribute to architectural design discussions and ensure implementation aligns with defined technical standards. • Optimize model performance, latency, and cost efficiency across cloud-based environments. • Implement robust testing, evaluation, monitoring, and observability for AI systems in production. • Collaborate with cross-functional teams including data engineers, software engineers, DevOps, and business stakeholders. • Ensure adherence to security, compliance, and responsible AI practices. • Support client workshops, technical demos, and solution presentations when needed. • Stay up to date with emerging GenAI frameworks, tools, and best practices, proactively bringing innovation into delivery projects.