Themesoft Inc.
Gen AI Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Gen AI Developer in Austin, TX or Sunnyvale, CA, on a contract basis. Key skills include Python, AI/ML, Langchain, and experience in generative AI solutions. Collaboration and ethical AI practices are essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
584
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🗓️ - Date
November 13, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
Austin, TX
-
🧠 - Skills detailed
#Python #Langchain #AI (Artificial Intelligence) #Data Science #ML (Machine Learning)
Role description
Hi Professionals;
Job Title: Gen AI developer
Job Location:Austin,TX/ Sunnyvale, CA
Duration:contract
Must Have Experience|: Python, AI/ ML, Agentic AI, Langchain, LLM, RAG, MLOps tools
• Architect and design end-to-end generative AI solutions (text, image, audio, or multimodal) that align with business objectives.
• Evaluate and select appropriate foundation models (e.g., GPT, LLaMA, Stable Diffusion) and fine-tuning strategies.
• Lead the development of custom LLM applications, including prompt engineering, fine-tuning, RLHF, and model compression.
• Collaborate with cross-functional teams (engineering, product, design, data science) to integrate AI into products and platforms.
• Ensure responsible and ethical AI practices are embedded in system design (e.g., fairness, privacy, explainability).
Hi Professionals;
Job Title: Gen AI developer
Job Location:Austin,TX/ Sunnyvale, CA
Duration:contract
Must Have Experience|: Python, AI/ ML, Agentic AI, Langchain, LLM, RAG, MLOps tools
• Architect and design end-to-end generative AI solutions (text, image, audio, or multimodal) that align with business objectives.
• Evaluate and select appropriate foundation models (e.g., GPT, LLaMA, Stable Diffusion) and fine-tuning strategies.
• Lead the development of custom LLM applications, including prompt engineering, fine-tuning, RLHF, and model compression.
• Collaborate with cross-functional teams (engineering, product, design, data science) to integrate AI into products and platforms.
• Ensure responsible and ethical AI practices are embedded in system design (e.g., fairness, privacy, explainability).
