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Summer Python Developer Google Jobs in Texas (NOW HIRING)

OmegaHires

AI Engineer

Irving, TX · On-site

AI Engineer - Python / Cloud / Generative AI **Location:** Irving, TX (Hybrid) ** ** We are seeking ... Google ADK (Agent Development Kit) to build and orchestrate AI agents. - Integrate LLMs with ...

IntraEdge

Agentic Software Engineer

Austin, TX · On-site

... Java, Python, JavaScript/TypeScript, Go, C#, or Kotlin. Strong understanding of software ... Amazon Q Developer, Google Gemini Code Assist, or similar platforms. Experience using AI to ...

Info Way Solutions

DevOps engineer with Python

Austin, TX · On-site

$52.25 - $71.50/hr

Info Way Solutions is seeking a skilled DevOps Engineer with strong expertise in Python to design ... Google Cloud) • Familiarity with Linux/Unix systems and shell scripting • Experience with ...

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All JobsSummer Python Developer Google JobsSummer Python Developer Google Jobs in Texas

Summer Python Developer Google information

What is the difference between Summer Python Developer Google vs Summer Data Analyst Google?

AspectSummer Python Developer GoogleSummer Data Analyst Google
Required SkillsPython, programming, data structuresExcel, SQL, data visualization
Work EnvironmentSoftware development teams, coding projectsData analysis teams, reporting tasks
Industry UsageTech, software, AI projectsBusiness, marketing, product insights

Summer Python Developer Google focuses on coding and developing software solutions using Python, often working on AI or backend projects. In contrast, Summer Data Analyst Google emphasizes analyzing data, creating reports, and deriving insights. Both roles are popular summer internships at Google, but they serve different functions within the tech ecosystem.

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Cities in Texas with the most Summer Python Developer Google job openings:

Summer Python Developer Google jobs near you

AI Engineer

Irving, TX • On-site

OmegaHires
Recruiting and Staffing Services • 11 - 50 employees
Learn more about OmegaHiresexternal

Contractor

Posted 5 days ago

Job description

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.

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