Applied AI Engineer
Cherre
Google Cloud PlatformOpen SourcePythonSQL
Salary
💰 $130,000 - $140,000 per year
Job Level
Senior
Tech Stack
Google Cloud PlatformNeo4jPythonReact
About the role
- Design and develop multi-agent AI systems using LangGraph for workflow automation and autonomous problem-solving
- Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains
- Define and implement scalable architectures for LLM-powered agents that integrate with enterprise applications
- Develop and optimize agent orchestration workflows using LangGraph, ensuring performance, modularity, and scalability
- Implement knowledge graphs, vector databases, and RAG techniques for enhanced agent reasoning
- Apply RLHF/RLAIF methodologies to fine-tune AI agents for improved decision-making
- Lead AI research and prototype self-learning, self-improving agent solutions
- Translate agentic AI capabilities into enterprise solutions and lead PoC projects to production
Requirements
- Hands-on experience with LangGraph
- Expertise with LLM orchestration (LangChain, LlamaIndex)
- Proficiency in Python
- Knowledge of knowledge graphs and vector databases (Pinecone, Weaviate, FAISS)
- Experience with retrieval-augmented generation (RAG) techniques
- Experience with reinforcement learning methodologies (RLHF/RLAIF)
- Experience building memory-augmented, context-aware AI agents
- Experience designing and implementing scalable LLM-powered agent architectures
- Familiarity with GCP, Google Spanner, Neo4j, CrewAI, AutoGen, OpenAI
Similar jobs on JobTailor
Senior AI Agent Engineer
Zendesk
AWSAzureCloudGoogle Cloud PlatformPythonReactRedis
Cientista de Dados Pleno
ArcoTech Drilling
AWSCloudFlashGoogle Cloud PlatformPythonSQL
Staff Software Engineer - Applied AI
Ironclad
AWSAzureCloudDockerGoogle Cloud PlatformNumpyPandasPySparkPythonPyTorchSQLTensorflow
Python Developer
Devoteam
AWSAzureCloudCyber SecurityGoogle Cloud PlatformKerasPythonPyTorchScikit-LearnTensorflow