

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, offering a contract length of "unknown" at a pay rate of "unknown." Candidates should have 6+ years in backend or ML engineering, deep Python experience, and expertise in NLP or LLMs.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 28, 2026
🕒 - 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
New York City Metropolitan Area
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🧠 - Skills detailed
#NLP (Natural Language Processing) #ML (Machine Learning) #Cloud #AI (Artificial Intelligence) #DevOps #Deployment #Langchain #Scala #Knowledge Graph #Security #Python #Data Science
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
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






