Senior Gen AI Application Engineer

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

1. Production GenAI Application Engineering
2. LangGraph, LangChain, RAG, and Agentic Workflows
3. 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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