5 Openai Gpt Jobs

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 seeking a skilled Data Analyst with 2 to 5 years of experience in data analytics, SQL, Python, Excel VBA , and LLM & Generative AI development . The ideal candidate should have a strong engineering mindset and be proficient in natural language processing (NLP), machine learning (ML) algorithms , and automation tools. Candidates with a bachelors degree in engineering are preferred. Key Responsibilities Analyze and process large datasets to extract actionable insights. Develop and fine-tune LLM (Large Language Models) for business applications. Develop and deploy machine learning models for predictive analytics and automation. Work with SQL databases for data extraction, transformation, and analysis (Azure Synapse). Use Python and Excel VBA for data analysis, automation, and model development. Design and develop dashboards and reports to track key performance indicators. Required Skills & Qualifications Experience: 2 to 5 years in data science, analytics, or AI/ML development. Technical Skills: Strong proficiency in SQL for data manipulation and querying in Azure. Python programming , with expertise in libraries like Pandas, NumPy, Scikit-Learn, Deep learning concepts and NLTK/SpaCy for NLP. Experience with LLMs and Gen AI (e.g., OpenAI GPT, LLaMA, BERT or similar). Hands-on knowledge of NLP algorithms , such as Transformer models, Text Vectorization (TF-IDF, Word2Vec), and Sequence Models (LSTMs, GRUs). Advanced Excel & VBA for automation and reporting. Education: Bachelors degree in engineering (preferred) or related fields. Soft Skills: Strong problem-solving, analytical thinking, and communication skills. Preferred Skills (Nice to Have) Experience with Power BI for data visualization. Exposure to cloud data platforms (Azure) Knowledge of statistical analysis and machine learning concepts.

About the Role: We are looking for an experienced AI/ML Engineer with a strong background in Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) implementation . You will play a key role in designing, developing, and deploying cutting-edge AI solutions that leverage state-of-the-art machine learning techniques to solve complex problems. Key Responsibilities: Design, develop, and optimize LLM-based applications with a focus on RAG pipelines, fine-tuning, and model deployment . Implement GenAI solutions for text generation, summarization, code generation, and other NLP tasks. Develop and optimize ML models , leveraging classical and deep learning techniques. Build and integrate retrieval systems using vector databases like FAISS, ChromaDB, Pinecone, or Weaviate . Optimize and fine-tune LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Falcon ) for domain-specific use cases. Develop data pipelines for training, validation, and inference. Work on scalable AI solutions , ensuring performance and cost efficiency in deployment. Collaborate with cross-functional teams to integrate AI models into production applications. Required Skills & Qualifications: 3+ years of experience in AI/ML development. Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers . Hands-on experience with LLMs, GenAI, and RAG architectures . Experience working with vector databases (e.g., FAISS, Pinecone, ChromaDB). Knowledge of ML algorithms , deep learning architectures, and NLP techniques. Familiarity with cloud platforms ( AWS, GCP, or Azure ) and AI/ML model deployment. Experience with LangChain or LlamaIndex for LLM applications is a plus. Strong problem-solving skills and the ability to work in a fast-paced environment. Nice-to-Have Skills: Experience with multi-modal AI models (text, image, video). Knowledge of MLOps tools (Kubeflow, MLflow, or Vertex AI). Familiarity with prompt engineering and fine-tuning strategies . Why Join Us? Work on cutting-edge AI projects in an innovative and collaborative environment. Opportunities for career growth and learning in the fast-evolving AI space. Competitive compensation, flexible work options, and great team culture.

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.