Job Description

Team Lead/Senior Specialist - Generative AI and LLM

========================================================

:

Join our pioneering team at

BuzzBoard

, a recognized first-mover in enterprise generative AI, as a Team Lead of Generative AI and LLM. We've already deployed production GenAI systems generating thousands of posts and content pieces monthly across our ecosystem. You'll lead the charge in scaling our mature AI infrastructure while architecting next-generation applications. As a key leader in our Product Team, you'll orchestrate collaboration between Data Engineering, Software Engineering, and AI Operations teams while expanding our proven generative AI innovations.

Key Responsibilities:

-------------------------

Strategic Leadership & Vision

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

Advanced AI Development

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

Technology Leadership

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

Enterprise Integration & Scaling

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

Skills and Qualifications:

------------------------------

Core Technical Expertise

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

AI Architecture & Operations

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

Technical Leadership (Individual Contributor Focus)

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

Modern AI Ecosystem

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

Advanced Qualifications:

----------------------------

Agentic AI Mastery (Required)

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

Industry Integration

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

Research & Innovation

Experience with AI model interpretability and explainable AI techniques Knowledge of quantum-classical hybrid AI approaches and emerging paradigms

Technical Excellence

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)

Lead the future of GenAI innovation at

BuzzBoard

, where your expertise will build upon our established success in production generative AI systems. Join a first-mover organization that has already proven the enterprise value of GenAI at scale, generating thousands of content pieces monthly. Your role as Team Lead of Generative AI and LLM will position you to expand our proven AI ecosystem while defining the next generation of agentic AI solutions that drive measurable business impact.






12dkkTUOj7