Madison-Davis, LLC

Lead GenAI / Agentic AI Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead GenAI / Agentic AI Engineer with a contract length of "unknown" and a pay rate of "unknown," located in "unknown." Requires 6+ years in backend or ML engineering, deep Python and GenAI framework expertise, and experience in financial systems.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 4, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Greater Houston
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Scala #Python #Deployment #DevOps #NLP (Natural Language Processing) #Cloud #Data Science #Security #Langchain #Knowledge Graph #ML (Machine Learning)
Role description
Help architect the intelligence layer for a top-tier financial ecosystem. This is a rare opportunity to lead technical delivery of greenfield GenAI and agentic AI solutions — integrating LLMs, building RAG pipelines, and pioneering scalable internal copilots. You’ll join a core team solving tough AI problems across multiple business lines. What You’ll Do: • Design and implement enterprise-wide GenAI frameworks • Develop AI agents that work with live financial systems, document graphs, and chat interfaces • Lead integration of vector search, knowledge graphs, and advanced prompt strategies • Collaborate with governance, infra, and DevOps teams to ensure secure deployment • Mentor engineers and guide best practices across teams What You’ll Need: • 6+ years in backend or ML engineering (3+ focused on NLP or LLMs) • Deep experience with Python and GenAI frameworks (LangChain, LlamaIndex, etc.) • Understanding of embeddings, model fine-tuning, prompt engineering • Experience leading AI feature development in complex cloud environments • Comfortable presenting to peers, architects, and security/risk teams Why Join: • Lead a cutting-edge, high-visibility initiative with long-term runway • Partner with elite AI, platform, and data science teams • Get hands-on with one of the most sophisticated LLM deployments in finance