Team Lead/Senior Specialist - Generative AI and LLM

• 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

• 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) - REQUIRED
• Experience with compound AI systems and multi-step reasoning architectures - REQUIRED
• Experience with multimodal AI systems and computer vision integration
• Understanding of federated learning and privacy-preserving AI techniques
• Knowledge of AI model evaluation frameworks and benchmarking methodologies

• 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 (preferred)
• Experience building and scaling AI teams in fast-paced environments (preferred)
• Experience with AI ethics committees and responsible AI governance (preferred)
• Proven ability to drive digital transformation through AI adoption (preferred)

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