Glansa Associates
GenAI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GenAI Engineer in Dallas, TX, offering a hybrid schedule. Contract length and pay rate are unspecified. Key skills include GenAI, NLP, LLM, and LangGraph, with expertise in deployment processes required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 21, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#Deployment #Scala #Automation #Langchain #AI (Artificial Intelligence) #NLP (Natural Language Processing)
Role description
Job Title: GenAI Engineer
Location: Dallas, TX (Hybrid to work from office 3 days a week) and in-person interview mandate available over Dallas, TX
Required Skills: GenAI, NLP, LLM, Agentic AI, Prompt Engineer, LangChain, LangGraph, Google ADK(good to have). Should we very well versed in deployment process too.
Job Summary:
We are looking for a highly experienced and technically elite Senior LangGraph Developer to architect and implement cutting-edge agentic workflows using LangGraph. This role demands deep expertise in building stateful, multi-agent systems that leverage LLMs for complex decision-making, orchestration, and automation. You will be responsible for designing resilient, scalable LangGraph architectures that power intelligent applications across domains.
Job Title: GenAI Engineer
Location: Dallas, TX (Hybrid to work from office 3 days a week) and in-person interview mandate available over Dallas, TX
Required Skills: GenAI, NLP, LLM, Agentic AI, Prompt Engineer, LangChain, LangGraph, Google ADK(good to have). Should we very well versed in deployment process too.
Job Summary:
We are looking for a highly experienced and technically elite Senior LangGraph Developer to architect and implement cutting-edge agentic workflows using LangGraph. This role demands deep expertise in building stateful, multi-agent systems that leverage LLMs for complex decision-making, orchestration, and automation. You will be responsible for designing resilient, scalable LangGraph architectures that power intelligent applications across domains.
