AI Engineer
**Job Role:** AI Engineer - Python / Cloud / Generative AI **Location:** Irving, TX (Hybrid) **Job Description:** We are seeking an experienced AI Engineer to design, develop, and deploy AI-powered applications and agentic workflows using Python, Cloud technologies, Anthropic Claude, and LangGraph or LangChain. The ideal candidate will have hands-on experience building production-grade GenAI solutions, integrating LLMs with enterprise applications, and developing intelligent agents using modern AI frameworks. **Key Responsibilities:** - Design and develop LLM-powered applications and AI agents using Python. - Build agentic workflows using LangGraph or LangChain. - Develop solutions leveraging Anthropic Claude and other foundation models. - Work with Google ADK (Agent Development Kit) to build and orchestrate AI agents. - Integrate LLMs with enterprise APIs, databases, tools, and cloud services. - Develop RAG pipelines, prompt engineering solutions, tool/function calling, and multi-step agent workflows. - Deploy and operate AI applications in cloud environments. - Implement testing, monitoring, logging, security, and performance optimization for AI systems. - Collaborate with product, engineering, and business teams to translate into scalable AI solutions. ** Skills:** - Strong hands-on Python development experience. - Proven experience building Generative AI / LLM applications. - Strong experience with Anthropic Claude. - Hands-on experience with LangGraph or LangChain. - Experience with Google ADK (Agent Development Kit). - Strong understanding of Cloud platforms and cloud-native application development. - Experience with AI agents, RAG, prompt engineering, tool/function calling, and LLM orchestration. - Experience integrating AI solutions with REST APIs, databases, and enterprise systems. - Strong understanding of software engineering practices, APIs, CI/CD, and production deployments. **Preferred Qualifications:** - Experience with AWS, GCP, or Azure. - Experience with vector databases and embedding technologies. - Familiarity with LLM evaluation, observability, and AI safety/guardrails. - Experience developing scalable microservices using Python frameworks such as FastAPI. - Experience working in Agile development environments.
