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Internship Python Developer Google Jobs Near Me

Photon

Software Engineer Python - Advanced

Columbus, OH · On-site

Job Title: Software Engineer Python - Advanced Location: Columbus OH * We are looking for an ... Implement agent workflows using frameworks such as LangChain, LangGraph, OpenAI Agent SDK, Google ...

New

Pwc

GenAI Python Systems Engineer-Manager

Columbus, OH

$99K - $232K/yr

... Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

Pwc

GenAI Python Systems Engineer-Director

Columbus, OH · On-site

$155K - $410K/yr

... Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions ... is a plus - Proficient in Python and structured/unstructured data - Proficient in SQL and ...

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Judge Group, Inc.

DevOps Engineer

Columbus, OH · On-site

$65 - $70/hr

Develop Python-based automation tools to improve operational efficiency and system reliability ... Familiarity with multi-cloud environments (AWS, Azure, Google Cloud Platform) * Experience with ...

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As of Aug 24, 2026, the average hourly pay for internship python developer google in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

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Software Engineer Python - Advanced

Photon

Columbus, OH • On-site

Other

Posted 3 days ago

New

Job description

Job Title: Software Engineer Python - Advanced
Location: Columbus OH
Job Description:
  • We are looking for an Advanced Python Engineer / Agentic AI FDE with strong hands-on experience in Python development and a solid understanding of Generative AI, LLMs, AI Agents, and agentic application development.
  • The ideal candidate will work closely with client engineering and product teams to design, develop, integrate, and deploy production-grade agentic AI solutions. This role requires strong software engineering fundamentals, the ability to work with modern AI frameworks, and excellent client-facing problem-solving skills.
Key Responsibilities:
  • Design and develop scalable Agentic AI applications and AI-powered solutions using Python.
  • Build, integrate, and optimize AI agents, multi-agent workflows, tools, and orchestration pipelines.
  • Develop production-grade Python services, APIs, integrations, and backend components.
  • Work with LLMs, prompt engineering, RAG, embeddings, vector databases, and tool/function calling.
  • Implement agent workflows using frameworks such as LangChain, LangGraph, OpenAI Agent SDK, Google ADK, CrewAI, AutoGen, or similar frameworks.
  • Integrate AI agents with enterprise systems, APIs, databases, SaaS platforms, and business applications.
  • Develop and consume REST APIs, microservices, and event-driven integrations.
  • Implement appropriate mechanisms for agent memory, context management, state management, and knowledge retrieval.
  • Work with cloud-based AI platforms such as AWS Bedrock, Azure AI Foundry, or Google Cloud Vertex AI/Gemini.
  • Implement observability, monitoring, logging, evaluation, and performance optimization for AI applications.
  • Collaborate with architects, product managers, data scientists, and client stakeholders to translate business requirements into technical solutions.
  • Participate in client discussions, technical workshops, solution demonstrations, and proof-of-concepts.
  • Troubleshoot complex technical issues and provide hands-on engineering support during implementation.
  • Follow secure and responsible AI engineering practices, including appropriate authentication, authorization, data protection, and AI governance.
Required Technical Skills:
Python Advanced:
  • Strong hands-on expertise in Python.
  • Advanced knowledge of Python programming concepts, OOP, data structures, exception handling, concurrency/asynchronous programming, and performance optimization.
  • Experience building production-grade applications and APIs using frameworks such as FastAPI, Flask, or Django.
  • Strong understanding of testing, debugging, logging, packaging, and dependency management.
Agentic AI / Generative AI:
  • Strong understanding of LLMs, Generative AI, AI Agents, Agentic AI, and LLM application architecture.
  • Hands-on experience with one or more agent frameworks such as:
    • LangChain / LangGraph
    • OpenAI Agent SDK
    • Google ADK
    • CrewAI
    • AutoGen
    • Microsoft Agent Framework or equivalent
    • Experience with RAG, vector search, embeddings, prompt engineering, tool/function calling, structured outputs, and agent orchestration.
    • Understanding of agent memory, context management, multi-agent systems, and agent evaluation.
Cloud & AI Platforms:
  • Experience with at least one major cloud platform: AWS, Azure, or Google Cloud Platform.
  • Exposure to AI platforms such as Amazon Bedrock, Azure AI Foundry, Vertex AI/Gemini, or equivalent.
  • Understanding of deploying AI applications in cloud environments.
APIs & Integration:
  • Strong experience with REST APIs, JSON, web services, authentication, and third-party integrations.
  • Experience integrating AI solutions with enterprise applications and data sources.
  • Understanding of microservices and distributed application architecture.
Data & Databases:
  • Experience with SQL and relational databases.
  • Exposure to NoSQL databases and vector databases such as Pinecone, Weaviate, Milvus, pgvector, or equivalent.
  • Understanding of data ingestion, retrieval, chunking, embeddings, and knowledge bases.
Preferred Skills:
  • Experience with Docker, Kubernetes, CI/CD, Git, and cloud deployment.
  • Exposure to AI observability and evaluation tools.
  • Understanding of AI governance, guardrails, responsible AI, and security considerations for agentic systems.
  • Experience with MCP (Model Context Protocol) and enterprise tool integrations.
  • Experience working with enterprise-grade AI platforms or agent orchestration platforms.
  • Knowledge of authentication and authorization mechanisms such as OAuth2/JWT.
  • Experience working in financial services, banking, or other highly regulated environments is a plus.
FDE / Client-Facing Skills:
  • Strong communication and stakeholder management skills.
  • Ability to work directly with client engineering, architecture, and product teams.
  • Ability to understand ambiguous business problems and convert them into technical solutions.
  • Comfortable conducting technical workshops, architecture discussions, POCs, demos, and troubleshooting sessions.
  • Ability to work independently in a fast-paced client environment.
  • Strong analytical and problem-solving skills.
Education & Experience:
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline.
  • 5+ years of software engineering experience, with strong hands-on Python development experience.
  • 2+ years of experience in Generative AI / LLM / Agentic AI development preferred.
  • Proven experience delivering production-grade applications or AI solutions.
Key Competencies:
Python | Agentic AI | Generative AI | LLMs | AI Agents | LangChain | LangGraph | OpenAI Agent SDK | RAG | Prompt Engineering | Vector Databases | FastAPI | REST APIs | AWS/Azure/Google Cloud Platform | Bedrock | Azure AI Foundry | Vertex AI | Docker | Kubernetes | CI/CD | AI Governance | Client Engineering | FDE

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