About this role
🚀 Become our new Forward Deployed Engineer (all genders) As a Forward Deployed Engineer (all genders) , you will lead the hands-on implementation of AI-driven solutions in complex customer environments. You combine deep expertise in NLP, LLMs, and speech technologies with strong software engineering skills to build robust, scalable, and production-ready systems. Working closely with customers and internal teams, you translate business processes, decision logic, and data flows into real-world AI applications — from intelligent assistants and speech-enabled systems to enterprise-grade integrations on Azure. This is a hands-on, AI-first, delivery-focused role with strong ownership of technical quality, scalability, and operational excellence. Your Responsibilities Understand the Domain Analyze and structure business processes, decision logic, and data relationships. Challenge assumptions and refine requirements together with customers and stakeholders. Translate complex domain needs into clear, implementable technical solutions. Build AI Solutions End-to-End Design and implement AI systems with a strong focus on NLP, LLMs, and speech models . Build agentic workflows, orchestration layers, tool integrations, and decision logic. Develop end-to-end solution flows that combine AI capabilities with backend and platform components. Apply structured LLM patterns such as tool calling, schema-validated outputs, retries, fallbacks, and guardrails. Integrate AI services into enterprise environments and production systems. Own Software Engineering Quality Actively implement core application and integration logic — this is not a design-only role. Build maintainable, testable, and production-ready software in Python. Use modern engineering practices to ensure reliability, observability, security, and cost awareness. Improve development speed and quality through automation, testing, and AI-assisted engineering workflows. Deliver in Customer Environments Work directly with customers in workshops, implementation sessions, and delivery phases. Drive technical solutioning together with Engineering Managers, Cloud AI Architects, and QA. Contribute to architecture decisions while maintaining a strong execution mindset. Take ownership of successful deployment and integration in real-world environments.