AI engineer

Final F2F round in person initial screening and then Amdocs Teams videos interview. Total 3 rounds Locals only. Genuine experience required if you share OPT candidates needed CPT i20 copy and For H1B Passport no., Donato Technologies Inc. is a trusted IT staffing, consulting, and software development partner headquartered in Dallas, Texas. We support clients across industries by understanding their unique business needs and delivering tailored technology and workforce solutions. Our focus is on connecting the right talent with the right opportunity-ensuring clients receive dependable, skilled professionals and candidates receive meaningful career growth and support. We work closely with small to mid-sized organizations to provide flexible, high-quality services that drive performance, innovation, and long-term success.

Python Programming: Advanced proficiency in Python, including experience with asynchronous programming, data structures, and object-oriented design. LangChain & LangGraph: Hands-on experience building, deploying, and maintaining applications using LangChain and LangGraph frameworks. Large Language Models (LLMs): In-depth understanding and practical experience with LLMs such as OpenAI GPT-3/4, Anthropic Claude, Meta Llama, or similar. Prompt Engineering: Expertise in designing, testing, and optimizing prompts for generative models to achieve desired outputs. Graph-Based Workflow Design: Demonstrated ability to architect, implement, and debug complex, stateful, branching conversational flows using LangGraph. API Development & Integration: Experience integrating external APIs, tools, and data sources into AI-driven workflows. Machine Learning Libraries: Familiarity with ML/AI libraries such as PyTorch, TensorFlow, Hugging Face Transformers, or similar. Ability to develop workflow automation via an agentic framework Azure experience preferred

AgreeYa is a global systems integrator seeking an experienced AI Engineer specializing in Generative AI to join our team in Plano, TX. This role focuses on building LLM-powered applications, agentic AI workflows, and Retrieval-Augmented Generation (RAG) systems using modern frameworks such as LangGraph and LangChain. The ideal candidate will bring strong Python expertise and hands-on experience delivering scalable GenAI solutions in enterprise environments., Line of Business: Service & Support About Us Heidelberg Materials is one of the world’s largest suppliers of building materials. Heidelberg Materials North America operates over…