3 Openai Gpt Jobs

Position - Full Stack Developer( LLM & AI/ML/ Python NLP, Claude,Mistral,RAG ) Group Manager - RNA Design, fine-tune, and deploy LLM-based solutions (e.g., ChatGPT, LLaMA, Mistral, Claude).Integrate LLMs into modern web applications to deliver intelligent user experiences Develop end-to-end full-stack applications using modern web frameworks and RESTful APIs. Collaborate with data scientists and product managers to translate business problems into LLM-based applications. Build and optimize prompt engineering workflows for maximum model performance. Ensure performance, scalability, and security of deployed solutions Stay up to date with the latest advancements in generative AI and web development Must Have: LLM & AI/ML Skills: Deep experience with LLMs (OpenAI GPT, Claude, LLaMA, Mistral, etc.) Expertise in prompt engineering, model fine-tuning, and RAG (Retrieval-Augmented Generation) Familiarity with Hugging Face, LangChain, or similar AI frameworks Strong Python programming skills, especially in NLP libraries (e.g., Transformers, SpaCy, PyTorch, TensorFlow) Experience with vector databases (e.g., Pinecone, FAISS, Weaviate)Web Development: Proficiency in modern front-end frameworks (React, Angular, or Vue.js) Strong backend development experience (Node.js, Django, Flask, or FastAPI) Hands-on experience building and integrating RESTful APIs and GraphQL endpoints Strong understanding of web architecture, security, performance optimization.DevOps & Deployment: Experience with Docker, Kubernetes, or cloud services (AWS, Azure, GCP)CI/CD pipelines and code quality tools (e.g., GitHub Actions, Jenkins)General:Strong problem-solving and debugging skills. Excellent written and verbal communication.Ability to work independently in a fast-paced, innovative environment Ability to translate business needs into scalable tech solutions Leadership experience in mentoring or guiding technical teams Qualifications Masters or Bachelors in Computer Science, Artificial Intelligence, or a related field Experience with production-grade LLM applications (chatbots, agents, copilots, etc.) 8+ years of hands-on experience.

About the job: The Red Hat, Experience Engineering (XE) team is looking for a skilled Python Developer with 2+ years of experience to join our Software Engineering team. In this role, the ideal candidate should have a strong background in Python development, a deep understanding of LLMs, and the ability to debug and optimize AI applications. Your work will directly impact our product development, helping us drive innovation and improve the customer experience. What will you do? Develop and maintain Python-based applications, integrating LLMs and AI-powered solutions. Collaborate with cross-functional teams (product managers, software engineers, and data teams) to understand requirements and translate them into data-driven solutions. Assist in the development, testing, and optimization of AI-driven features. Optimize performance and scalability of applications utilizing LLMs. Debug and resolve Python application errors, ensuring stability and efficiency. Conduct exploratory data analysis and data cleaning to prepare raw data for modelling. Optimize and maintain data storage and retrieval systems for model input/output. Research and experiment with new LLM advancements and AI tools to improve existing applications. Document workflows, model architectures, and code to ensure reproducibility and knowledge sharing across the team. What will you bring? Bachelor's degree in Computer Science, Software Engineering, or a related field with 2+ years of relevant experience. Strong proficiency in Python, including experience with frameworks like FastAPI/ Flask, or Django. Understanding of fundamental AI/ML concepts, algorithms, techniques and implementation of workflows. Familiarity with DevOps/MLOps practices and tools for managing the AI/ML lifecycle in production environments. Understanding of LLM training processes and data requirements. Experience in LLM fine-tuning, RAG and prompt engineering. Hands-on experience with LLMs (e.g., OpenAI GPT, Llama, or other transformer models) and their integration into applications(e.g. LangChain or Llama Stack). Familiarity with REST APIs, data structures, and algorithms. Strong problem-solving skills with the ability to analyze and debug complex issues. Experience with Git, CI/CD pipelines, and Agile methodologies. Experience working with cloud-based environments (AWS, GCP, or Azure) is a plus. Knowledge of vector databases (e.g., Pinecone, FAISS, ChromaDB) is a plus.

We are looking for a Prompt Engineer with over 3 years of experience in designing, developing, and optimizing prompts for large language models (LLMs) like OpenAI GPT, Claude, or Gemini. You will work closely with data scientists, product managers, and software engineers to create effective natural language prompts that enable AI systems to perform complex tasks reliably. Key Responsibilities Design, test, and refine effective prompts for tasks involving language generation, summarization, classification, extraction, reasoning, and conversation. Evaluate and analyze LLM output for accuracy, relevance, coherence, and safety. Collaborate with cross-functional teams to integrate LLM capabilities into production applications or internal tools. Build prompt libraries and maintain versioning and documentation. Conduct prompt A/B testing, performance benchmarking, and maintain feedback loops for iterative improvements. Fine-tune or guide model behavior using advanced techniques like few-shot prompting, chain-of-thought reasoning, and system instructions. Stay updated with LLM research advancements and integrate best practices into workflow. Required Skills & Qualifications Bachelor's degree in Computer Science, Linguistics, Cognitive Science, or a related field. 3+ years of experience working with AI/ML systems or NLP-focused products. Deep understanding of prompt engineering principles and hands-on experience with LLMs like OpenAI GPT (ChatGPT, GPT-4), Anthropic Claude, etc. Familiarity with API-based interaction with LLMs (e.g., OpenAI, Azure OpenAI, Hugging Face). Strong analytical and critical thinking skills to design experiments and evaluate model behavior. Proficient in Python or JavaScript for scripting and experimentation. Excellent written and verbal communication skills. Preferred Qualifications Experience with vector databases (e.g., Pinecone, Weaviate), RAG systems, or knowledge graphs. Exposure to tools like LangChain, LlamaIndex, or PromptLayer. Experience working in agile environments or AI-driven startups. Prior work in conversational AI, chatbots, or AI copilots.