Compugra Systems

Compugra Systems

Google Cloud Platform AI Engineer

Irving, Texas, USA · third party, contract

Sponsorship not specifiedDetected 147 days ago
PythonJavaFastAPISpringVector DatabasesGCPCloud PlatformsDockerKubernetesLLMsRAGAgentic AILangGraphCollaboration

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odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 4 green-card filings in this occupation, 50% were for a worker who already held the job.

Third-party placement is common here

50% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 6 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: DIGITAL OCEAN · FIFTH THIRD BANK · HOME OFFICCE

Files H-1B transfers

4 transfer filings in the last year, covering 4 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • We are seeking an innovative and highly skilled AI Engineer to join our dynamic team.
  • The ideal candidate will bridge the gap between traditional software engineering and cutting-edge artificial intelligence.

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.
  • Leverage AI and LLMs to build systems that assist in, or fully automate, code generation, testing, and optimization processes.
  • Write clean, scalable, and maintainable code in both Java and Python to support AI backend infrastructure.

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).
  • Strong proficiency in both Java and Python, with a proven track record of building production-grade software.
  • Hands-on experience with Google ADK (or equivalent Google Cloud AI/Vertex AI tools).
  • Deep comfort level and practical experience working with Large Language Models (prompt engineering, fine-tuning, RAG architectures).

Skills

  • Google Cloud Platform AI Engineer Location:
  • Irving, TX, or Charlotte (100%
  • Onsite) No of roles:
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This listing is sourced directly from Compugra Systems's careers page and normalized into a canonical job model.