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Senior Data Science Lead
| Company | Brillio |
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| Location | Tampa, FL, USA |
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| Salary | $80 – $95 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Senior, Expert or higher |
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Requirements
- Strong hands-on experience with LangGraph and multi-agent AI development
- Proficiency in LLM orchestration (LangChain, LlamaIndex, OpenAI Function Calling)
- Expertise in reinforcement learning (RLHF, RLAIF) and self-improving AI agents
- Knowledge graph construction & RAG implementation for enhanced agent reasoning
- Experience deploying AI agents in production (GCP)
Responsibilities
- Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving.
- Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains.
- Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications.
- Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability.
- Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning.
- Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making.
- Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents.
- Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions.
- Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops.
- Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings.
- Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production.
- Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures.
- Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents.
Preferred Qualifications
No preferred qualifications provided.
