CloudDockerKubernetesPythonAIComputer VisionGenerative AIGenAILLMLarge Language ModelsOpenAIAnthropicLangChainAgenticAutoGenLangGraphFastAPICollaboration
About this role
Role Overview
Join pioneering team at BuzzBoard in AI innovation
Lead and mentor a team of GenAI engineers and researchers
Define generative AI strategy and roadmap
Drive adoption of multimodal AI systems incorporating vision, audio, and text capabilities
Enhance multi-agent orchestration platforms and complex workflow automation
Scale mature AI infrastructure supporting thousands of monthly content generations across business verticals
Lead implementation of AI observability and monitoring tools
Champion AI development platforms and low-code/no-code solutions
Requirements
Deep expertise in generative AI systems, large language models, and transformer architectures with proven production experience
Expert proficiency in established tech stack: LangChain, CrewAI, LangGraph, AutoGen, and multi-LLM orchestration
Hands-on experience with model ecosystem: OpenAI GPT, Anthropic, Google, and vector databases
Extensive experience with agentic AI frameworks and autonomous workflow orchestration in production environments
Hands-on programming skills in Python with experience in FastAPI, Streamlit, and modern web frameworks
Expert-level understanding of prompt engineering, fine-tuning techniques, and model optimization at scale
Experience with vector databases, embedding models, and semantic search implementations
Proficiency in containerization (Docker, Kubernetes) and cloud-native AI deployments
Knowledge of AI model serving platforms and inference optimization
Understanding of AI safety, alignment, and responsible AI development practices
Familiarity with AI agent frameworks (LangGraph, CrewAI, Microsoft Semantic Kernel)
REQUIRED
Experience with compound AI systems and multi-step reasoning architectures
REQUIRED
Experience with multimodal AI systems and computer vision integration
Advanced degree in Computer Science, AI, or related field (preferred)
Tech Stack
Cloud
Docker
Kubernetes
Python
Benefits
Team collaboration across various engineering teams