BuzzBoard ยท 2 months ago
Team Lead/Senior Specialist - Generative AI and LLM
BuzzBoard is a recognized first-mover in enterprise generative AI, and they are seeking a Team Lead of Generative AI and LLM. In this role, you will lead the charge in scaling AI infrastructure, architecting next-generation applications, and collaborating with various teams to expand generative AI innovations.
Artificial Intelligence (AI)Big DataEnterprise SoftwareMachine LearningSaaSSales Enablement
Responsibilities
Lead and mentor a team of GenAI engineers and researchers within our mature AI ecosystem
Scale our proven production AI systems generating thousands of content pieces monthly across multiple business verticals
Define generative AI strategy and roadmap building upon our established first-mover advantage
Drive adoption of multimodal AI systems incorporating vision, audio, and text capabilities
Contribute and own the GenAI governance frameworks and best practices
Architect and scale sophisticated generative AI systems building upon our established multi-LLM infrastructure (GPT-4o, Claude Sonnet, Gemini, O1)
Optimize our proven tech stack including LangChain, CrewAI, LangGraph, and vector databases (Chroma)
Implement advanced RAG, fine-tuning, and prompt engineering across our existing model inventory
Lead development of next-generation agentic AI systems with tool use, reasoning capabilities, and autonomous decision-making
Enhance our multi-agent orchestration platforms and complex workflow automation
Drive adoption of agentic AI frameworks including LangGraph, CrewAI, AutoGen, and Microsoft Semantic Kernel
Lead implementation of multi-agent orchestration platforms and autonomous decision-making systems
Oversee vector databases (Pinecone, Weaviate, Chroma) and semantic search systems
Lead integration of AI observability and monitoring tools (LangSmith, Weights & Biases, MLflow)
Champion AI development platforms and low-code/no-code solutions
Scale our mature AI infrastructure supporting thousands of monthly content generations across multiple business verticals
Enhance our proven MLOps and LLMOps practices for continuous model deployment and performance monitoring
Drive technical collaboration for seamless AI integration into established production systems
Optimize edge AI capabilities and multi-environment deployment strategies
Enhance our performance tracking framework including regression testing, edit ratio tracking, and analytics integration
Qualification
Required
Deep expertise in generative AI systems, large language models, and transformer architectures with proven production experience
Expert proficiency in our established tech stack: LangChain, CrewAI, LangGraph, AutoGen, and multi-LLM orchestration
Hands-on experience with our model ecosystem: OpenAI GPT, Anthropic, Google, and vector databases
Extensive experience with agentic AI frameworks and autonomous workflow orchestration in production environments
Hands-on with 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 (vLLM, TensorRT-LLM, Ollama) and inference optimization
Understanding of AI safety, alignment, and responsible AI development practices
Experience providing technical guidance to engineering teams in fast-paced environments
Experience with AI product development lifecycle and technical go-to-market strategies
Strong technical communication and ability to explain AI concepts to technical and non-technical audiences
Knowledge of AI regulation landscape and compliance requirements
Familiarity with AI agent frameworks (LangGraph, CrewAI, Microsoft Semantic Kernel)
Experience with compound AI systems and multi-step reasoning architectures
Extensive hands-on experience building and deploying agentic AI systems in production environments
Deep understanding of tool-calling, function-calling, and API integration within agent workflows
Proven track record with multi-agent collaboration patterns and complex reasoning chains
Expertise in agent memory systems, context management, and state persistence across interactions
Experience scaling production GenAI systems with proven track record of generating thousands of content pieces monthly
Knowledge of multi-LLM orchestration and model switching strategies for optimal performance and cost efficiency
Understanding of content generation workflows across social media, marketing, and business communications
Familiarity with performance monitoring frameworks including regression testing and analytics dashboard integration
Experience with AI model interpretability and explainable AI techniques
Knowledge of quantum-classical hybrid AI approaches and emerging paradigms
Preferred
Advanced degree in Computer Science, AI, or related field
Experience building and scaling AI teams in fast-paced environments
Experience with AI ethics committees and responsible AI governance
Proven ability to drive digital transformation through AI adoption