Team Lead/Senior Specialist - Generative AI and LLM

Summary

Join our pioneering team at BuzzBoard, a first-mover in enterprise generative AI, as a Team Lead of Generative AI and LLM. Lead a team of GenAI engineers and researchers, scaling our production AI systems generating thousands of content pieces monthly. Define generative AI strategy and roadmap, drive adoption of multimodal AI systems, and contribute to GenAI governance. Architect and scale sophisticated generative AI systems, optimize our tech stack, and implement advanced RAG, fine-tuning, and prompt engineering. Drive adoption of agentic AI frameworks, lead implementation of multi-agent orchestration platforms, and oversee vector databases and semantic search systems. Scale our AI infrastructure, enhance MLOps and LLMOps practices, and drive technical collaboration for seamless AI integration. Lead the future of GenAI innovation, building upon our established success in production generative AI systems.

Requirements

• 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

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

Preferred Qualifications

• 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
• 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