Senior Gen AI Application Engineer

Role OverviewWe are looking for a Senior GenAI Application Engineer to build and optimize production-grade GenAI applications. This is a hands-on delivery role, not a research position. You will design reliable, maintainable, and observable AI solutions for real enterprise users.Key ResponsibilitiesBuild GenAI Apps: Code applications using LangGraph, LangChain, open-weight models, and hosted LLMs.Design AI Workflows: Develop agentic workflows, RAG, tool calling, and prompt orchestration.Integrate Systems: Connect GenAI apps with enterprise systems, APIs, and data sources.Ensure Production Quality: Implement logging, tracing, evaluation, and fallback behaviors.Collaborate & Lead: Coordinate with data, security, and infrastructure teams to deliver resilient code.Role Requirements6+ Years' Experience: Strong software engineering background with recent hands-on production GenAI delivery.AI Tooling: Proven experience with LangGraph, LangChain, RAG, and context management.Backend Skills: Solid programming experience in Python or Java, plus strong API design skills.Production Tools: Experience with logging/tracing tools and container platforms like Kubernetes or OpenShift.Delivery Mindset: High ownership and practical judgment, focusing on useful products over hype.Nice-to-Have SkillsFrameworks like DeepAgent, Langfuse, Elastic, or vLLM.Redis for caching, state management, or low-latency AI patterns.Deploying AI workloads on cloud infrastructure.Key SkillsProduction GenAI Application EngineeringLangGraph, LangChain, RAG, and Agentic WorkflowsPython / Java, APIs, and Enterprise IntegrationGrace LeeAssociate DirectorCompany Registration No: 200408881MEA Registration No: 12C5526CEI/KAH Registration No: [email protected]