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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Generative AI Engineer - Dallas, TX, Austin, TX, Houston, TX, Denver, CO, Phoenix, AZ - **Company:** TechniPros, LLC - **Location:** Dallas, TX, United States - **Experience:** Expert - **Salary:** $95,000.0 - $115,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Python (Programming Language), Machine Learning, Rapid Prototyping Process, Tensorflow, GitHub Copilot, Pytorch, Large Language Models, Prompt Engineering, Generative AI, HuggingFace, Machine Learning Operations, Virtual Agents, Automation Anywhere, Api Management - **Published:** August 1, 2026 - **Apply:** https://www.careerjet.com/jobad/usd1622db88688be426fff6bee3327246d ## About the Role * Strong Python programming skills. * TensorFlow * PyTorch * Large Language Models (LLMs) * Prompt Engineering * RAG * LangChain * LangSmith * CrewAI * Vector Databases * OpenAI * Anthropic * Hugging Face * Azure AI * AWS Bedrock * GitHub Copilot * AI SDKs * MLOps * API Integrations ## Description We are looking for a highly motivated Generative AI Engineer with AI Engineering experience to join the Business Support team. The ideal candidate will research emerging AI technologies, develop rapid prototypes, build GenAI workflows, benchmark LLMs, and collaborate with engineering teams to transition AI innovations into production-ready enterprise solutions., AI Research & Innovation: * Research advancements in AI/ML, LLMs, Agentic AI, and multimodal AI. * Evaluate emerging AI frameworks and technologies. * Identify opportunities to improve business processes using AI. Rapid Prototyping: * Develop proof-of-concept AI applications using Python. * Build AI workflows and agent-based systems. * Create Retrieval-Augmented Generation (RAG) applications. * Integrate modern AI APIs and SDKs. Technical Evaluation: * Perform model benchmarking and evaluation. * Conduct prompt engineering experiments. * Fine-tune and optimize AI models. * Document technical findings and recommendations. Collaboration: * Partner with Engineering, Product, and Data Science teams. * Transition prototypes into production-ready AI systems. * Present technical demonstrations and AI recommendations. Knowledge Sharing: * Monitor AI industry trends. * Share research findings internally. * Conduct AI workshops and technical sessions., AI/ML Engineer - Generative AI & Agentic AI We are looking for an experienced AI/ML Engineer with deep expertise in Large Language Models (LLMs), Generative AI, Agentic AI, and … + 1 day ago ## Related Videos - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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