AI Engineer
Job in
Irving, Dallas County, Texas, 75014, USA
Listed on 2026-09-07
Listing for:
OmegaHires
Full Time
position Listed on 2026-09-07
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Python, Backend Developer, Cloud Engineer - Software
Job Description & How to Apply Below
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 Lang Graph or Lang Chain. 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 Lang Graph or Lang Chain.
- 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 Lang Graph or Lang Chain.
- 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.
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