Principal AI Engineer
Posted Updated
Description
Principal AI Engineer - Generative AI
We're looking for a highly experienced and innovative Principal AIEngineer to drive the development and adoption of our LLM Platform andGenerative AI initiatives. Innovation is at the core of this role - you will beexpected to continuously push boundaries, experiment with emerging AItechniques, and translate cutting-edge research into production systems. Youwill architect scalable AI platforms, shape our engineering strategy, andprovide expert guidance across cross-functional teams.
In this role you will:
- Hands-on Development: Design, build, and test core LLM platformcomponents, Generative AI agents, and supporting tooling in Java - ensuringproduction-grade quality, performance, and reliability.
- Architecture & System Design: Lead the design andimplementation of robust, scalable systems for LLM orchestration, RAGpipelines, agent workflows (Google ADK), fine-tuning, model serving, and APIdevelopment on AWS.
- RAG & Knowledge Systems: Architect and ownRetrieval-Augmented Generation systems end-to-end - embedding pipelines, vectorstore selection and tuning, chunking strategies, retrieval evaluation, andintegration with generative models.
- Agent Engineering: Build and evolve multi-agent systems usingGoogle Agent Development Kit (ADK), defining patterns for tool use, memory,orchestration, and inter-agent communication.
- Innovation & Research: Actively track and evaluate emergingGenerative AI research, frameworks, and tools. Prototype novel ideas, runexperiments, and champion the adoption of techniques that create competitiveadvantage.
- Performance & Evaluation: Define evaluation metrics andconduct rigorous assessments of Generative AI and RAG solutions to ensurebusiness impact and continuous improvement.
- Mentorship: Mentor and inspire junior and mid-level engineers -through code reviews, pairing sessions, design guidance, and deliberateinvestment in their growth. Foster a culture of curiosity, ownership, andcontinuous learning.
- Cross-Team Guidance: Serve as the subject matter expert formultiple teams building Generative AI features - content generation, codeassistance, customer support automation, data augmentation, and more.
You've Got What It Takes If You Have...
- 10+ years of software engineering experience with a strong focuson AI/ML systems, including 3+ years hands-on with LLMs and Generative AI inproduction.
- Deep expertise in Retrieval-Augmented Generation (RAG) -including vector databases, embedding models, hybrid search, and evaluationframeworks.
- Proven track record designing and shipping complex, high-scaleAI systems on AWS (SageMaker, Bedrock, Lambda, ECS, etc.); GCP experience aplus.
- Strong Java engineering skills; experience building productionAI services and APIs in the JVM ecosystem.
- Hands-on experience with Google Agent Development Kit (ADK) orcomparable agentic frameworks (LangGraph, LangChain, etc.).
- Demonstrated passion for innovation - a track record ofintroducing new ideas, not just executing on existing ones.
- Experience mentoring engineers at various levels andcontributing to team capability growth.
- Solid understanding of data governance, privacy, and responsibleAI principles as applied to LLM systems.
- Excellent communication skills - able to translate complexAI/engineering concepts for both technical and non-technical stakeholders.
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