Role Overview
We 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 Responsibilities
- Build 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 Requirements
- 6+ 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 Skills
- Frameworks like DeepAgent, Langfuse, Elastic, or vLLM.
- Redis for caching, state management, or low-latency AI patterns.
- Deploying AI workloads on cloud infrastructure.
Key Skills
- Production GenAI Application Engineering
- LangGraph, LangChain, RAG, and Agentic Workflows
- Python / Java, APIs, and Enterprise Integration
Grace Lee
Associate Director
Company Registration No: 200408881M
EA Registration No: 12C5526
CEI/KAH Registration No: R1545055
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