> Markdown version of [/jobs/ext/2011347-python-gen-ai-developer](https://www.wearedevelopers.com/jobs/ext/2011347-python-gen-ai-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Python Gen AI Developer - **Company:** NTT DATA, Inc. - **Location:** Jacksonville, FL, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Django Web Framework, Python (Programming Language), Machine Learning, MongoDB, Neo4j, NumPy, Scrum Methodology, Tensorflow, Web Application Frameworks, Google Cloud, Pytorch, Flask (Web Framework), Large Language Models, Fastapi, Pandas, Scikit Learn, Variational Autoencoders, Microservices - **Published:** August 10, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/python-gen-ai-developer-jacksonville-fl-usa-58879045 ## About the Role Experteer Overview In this role you design, implement, and optimize generative AI models using frameworks like TensorFlow, PyTorch, or JAX. You'll integrate models into production via APIs and cloud platforms while aligning with our AI strategy. You collaborate with engineering and leadership to prototype, test, and refine solutions. This is a hands-on, impact-driven position at enterprise scale that shapes our AI capabilities. Compensation / Benefits * Design and optimize generative AI models (GANs, VAEs, LLMs) using TensorFlow, PyTorch, or JAX * Research and implement ML algorithms and tools * Integrate AI models into production systems (APIs, microservices, cloud) * Direct R&D processes to meet AI strategy needs * Develop ML applications aligned with project goals * Conduct ML tests and statistical analyses to fine-tune systems * Select datasets and data representations * Extend ML libraries and frameworks * Train and retrain AI systems * Collaborate with engineering and aaaaa Tasks on design, prototyping, testing, and training of AI/ML solutions Tasks * 5+ years overall experience * 3+ years strong Python coding skills (NumPy, Pandas) * 2+ years solid understanding of GANs, VAEs, LLMs * Strong experience with Neo4J, MongoDB * Experience with Python web frameworks (FastAPI, Flask, Django) * Experience in Scrum environments * Understanding of Gen AI implementations * Experience with Langchain, Vector DB, Embeddings or related frameworks * Experience with AI/ML model implementations using scikit-learn, TensorFlow * Google Cloud (GCP) knowledge * Banking, Chat, IVR experience a plus Key requirements * ## Description Experteer Overview In this role you design, implement, and optimize generative AI models using frameworks like TensorFlow, PyTorch, or JAX. You'll integrate models into production via APIs and cloud platforms while aligning with our AI strategy. You collaborate with engineering and leadership to prototype, test, and refine solutions. This is a hands-on, impact-driven position at enterprise scale that shapes our AI capabilities. Compensation / Benefits * Design and optimize generative AI models (GANs, VAEs, LLMs) using TensorFlow, PyTorch, or JAX * Research and implement ML algorithms and tools * Integrate AI models into production systems (APIs, microservices, cloud) * Direct R&D processes to meet AI strategy needs * Develop ML applications aligned with project goals * Conduct ML tests and statistical analyses to fine-tune systems * Select datasets and data representations * Extend ML libraries and frameworks * Train and retrain AI systems * Collaborate with engineering and leadership on design, prototyping, testing, and training of AI/ML solutions Tasks * 5+ years overall experience * 3+ years strong Python coding skills (NumPy, Pandas) * 2+ years solid understanding of GANs, VAEs, LLMs * Strong experience with Neo4J, MongoDB * Experience with Python web frameworks (FastAPI, Flask, Django) * Experience in Scrum environments * Understanding of Gen AI implementations * Experience with Langchain, Vector DB, Embeddings or related frameworks * Experience with AI/ML model implementations using scikit-learn, TensorFlow * Google Cloud (GCP) knowledge * Banking, Chat, IVR experience a plus Key requirements * ## Related Videos - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Vectorize all the things! 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