cloudingest inc
Google Cloud Platform AI Engineer ---- Only W2
Irving, Texas, USA · full-time
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odds of building a lasting career here
Thin sponsorship signal and lottery-bound (~15% per draw). A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
The bottom of this range ($40,000) is below the Level I prevailing wage of $95,202. An H-1B cannot be filed below the prevailing wage, so an offer at the floor of this band could not be sponsored as posted.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Dallas-Fort Worth-Arlington, TX. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- We are seeking an innovative and highly skilled AI Engineer to join our dynamic team.
- LLM Integration: Integrate cutting-edge Large Language Models (LLMs) into our core products and services to enhance functionality and user experience.
Responsibilities
- AI Agent Development: Design, build, and deploy autonomous AI agents capable of reasoning, planning, and executing complex workflows.
- Automated Code Generation: Leverage AI and LLMs to build systems that assist in, or fully automate, code generation, testing, and optimization processes.
- System Engineering: Write clean, scalable, and maintainable code in both Java and Python to support AI backend infrastructure.
- Design, build, and deploy autonomous AI agents capable of reasoning, planning, and executing complex workflows.
Requirements
- Programming Languages: Strong proficiency in both Java and Python, with a proven track record of building production-grade software.
- Google AI Tools: Hands-on experience with Google ADK (or equivalent Google Cloud AI/Vertex AI tools).
- LLM Expertise: Deep comfort level and practical experience working with Large Language Models (prompt engineering, fine-tuning, RAG architectures).
- MCP Knowledge: Familiarity and practical experience with the Model Context Protocol (MCP) for standardizing AI interactions with external tools.
- Good-to-Have (Optional but highly valued): Experience with modern robust backend frameworks (e.g., Spring Boot for Java, FastAPI for Python).
- Familiarity with containerization and orchestration (Docker, Kubernetes).
- Experience with vector databases (e.g., Pinecone, Weaviate, Milvus).
- The ideal candidate will bridge the gap between traditional software engineering and cutting-edge artificial intelligence.
- Strong proficiency in both Java and Python, with a proven track record of building production-grade software.
Compensation
- $40k-$60k
Company info
- Job Summary: We are seeking an innovative and highly skilled AI Engineer to join our dynamic team.
This listing is sourced directly from cloudingest inc's careers page and normalized into a canonical job model.