TechClub Inc

Generative AI Developer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Generative AI Developer on a W2 contract for 9+ years, with a pay rate of "unknown". The position requires expertise in Python, LLMs, NLP, and cloud platforms. Experience with AI pipelines and model optimization is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 1, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Texas, United States
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🧠 - Skills detailed
#Cloud #Azure #Langchain #Scala #ML (Machine Learning) #AI (Artificial Intelligence) #Databases #Deep Learning #TensorFlow #NLP (Natural Language Processing) #Hugging Face #PyTorch #Python #AWS (Amazon Web Services) #Data Science #GCP (Google Cloud Platform)
Role description
Job Title: Generative AI Developer Experience: 9+ years Job Type: W2 Contract Job Description: We are looking for a Senior Generative AI Developer with strong expertise in building and deploying AI-driven applications. This role is ideal for someone who has deep experience with LLMs, NLP, ML frameworks, and cloud platforms. 🔹 Responsibilities: • Design, develop, and deploy Generative AI solutions (LLMs, GPT, Diffusion Models, etc.). • Build scalable AI pipelines for text, image, and multimodal applications. • Fine-tune pre-trained models and develop custom AI models for business use cases. • Collaborate with data scientists, engineers, and product teams to deliver end-to-end AI solutions. • Optimize models for performance, scalability, and cost efficiency. • Stay updated on the latest research and advancements in AI/ML. 🔹 Required Skills & Experience: • 9+ years of overall software development / AI experience. • Strong expertise in Python, PyTorch, TensorFlow, Hugging Face, LangChain, or similar frameworks. • Hands-on experience with LLMs (OpenAI, Anthropic, LLaMA, Gemini, Mistral, etc.). • Proficiency in NLP, deep learning, and prompt engineering. • Experience with cloud platforms (AWS, Azure, GCP) and deploying AI solutions in production. • Strong problem-solving, architecture design, and communication skills. 🔹 Preferred Qualifications: • Experience with RAG (Retrieval-Augmented Generation), vector databases (Pinecone, Weaviate, FAISS, Milvus). • Knowledge of MLOps pipelines and CI/CD for AI solutions. • Exposure to multi-agent AI systems and enterprise AI adoption.