About this role
Staff AI Development Engineer driving Generative AI initiatives, architecting agentic pipelines, and delivering production-grade AI solutions on LangGraph/LangChain with vector databases and Kubernetes.
Key Responsibilities
- Engineering Interface: act as liaison between GTO and internal business units to translate requirements into AI solutions
- Agentic Pipeline Architecture: design agentic workflows with LangGraph
- Fullstack Implementation: lead end-to-end apps bridging AI logic with frontend/backend
- Team Upleveling: mentor and conduct design reviews
- AI-Driven Automation: adopt AI tools to automate workflows and data retrieval
Technical Overview
Stack includes Python, JavaScript/TypeScript, Go/Java, LangGraph, LangChain, Kubernetes, vector databases (Pinecone, Weaviate, Milvus); strong emphasis on CI/CD, TDD, and production-readiness in enterprise settings.
Ideal Candidate
The ideal candidate is a senior AI developer with 8+ years in software engineering, deep GenAI experience, and hands-on mastery of LangGraph/ LangChain, vector databases, and Kubernetes. They should lead AI architecture decisions and deliver production-ready AI pipelines in a secure, enterprise environment.
Must-Have Skills
Bachelor of Science in Computer ScienceSoftware Engineeringor a related technical field.Minimum of 8 years in Software Engineeringwith a proven track record of building and scaling Generative AI applications.Expert-level mastery of LangGraphLangChainProgramming: Python and a strong foundation in modern fullstack languages (e.g.JavaScript/TypeScriptGoor Java).Data & Infrastructure: Vector Databases (PineconeWeaviateMilvus) and container orchestration via Kubernetes.Development Rigor: Expert in CI/CDversion control (GitHub)and Test-Driven Development (TDD) adapted for AI.Leadership: Demonstrated ability to lead technical squadsinfluence architectural roadmapsand drive adoption of new technologies across a diverse organization.
Nice-to-Have Skills
Experience building RAG (Retrieval-Augmented Generation) systems for large-scale technical documentation.Familiarity with the challenges of deploying AI agents within highly secure enterprise environments.Ability to balance "bleeding edge" AI experimentation with the stability required for production-grade IT infrastructure
Tools & Platforms
LangGraphLangChainPythonJavaScriptTypeScriptGoJavaKubernetesPineconeWeaviateMilvusGitHubCI/CDContinuous Integration/Continuous DeploymentTest-Driven DevelopmentTDD
Required Skills
PythonJavaScriptTypeScriptGoJavaLangGraphLangChainKubernetesVector Databases (PineconeWeaviateMilvus)CI/CDGitHubTest-Driven DevelopmentTDD
Hard Skills
PythonJavaScriptTypeScriptGoJavaLangGraphLangChainCI/CDContinuous IntegrationContinuous DeploymentGitHubKubernetesVector DatabasesPineconeWeaviateMilvusTest-Driven DevelopmentTDD
Soft Skills
LeadershipMentorshipCommunicationTeam collaborationStrategic thinking
Keywords for Your Resume
Staff AI Development EngineerGenerative AILangGraphLangChainPythonJavaScriptTypeScriptGoJavaKubernetesVector DatabasesPineconeWeaviateMilvusCI/CDGitHubTDDRAGRetrieval-Augmented Generationproduction-gradesecure enterprise environments
Deal Breakers
8+ years in software engineering, Experience with Generative AI and RAG, Proficiency in LangGraph or LangChain, Strong Python and at least one fullstack language, Kubernetes and vector databases experience
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