Photon
Photon

66 Photon Software Jobs Hiring Near You

Implement CI/CD pipelines and follow modern DevOps and software engineering practices. * Perform testing, debugging, performance optimization, and production support. * Collaborate with architects ...

Sr Python Developer with AI

Columbus, OH · On-site

$113K - $152K/yr

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 ...

... Photon Kinetics -- from feasibility through design, test, and handoff to manufacturing. You'll work across optical, software, and system domains to develop and enhance fiber optic test ...

Hi Team, We are PHOTON , one of the world's largest Digital Platform Engineering Company providing ... Software design, investigating technical solutions. Reviewing project documentation, analyzing ...

We are PHOTON , one of the world's largest Digital Platform Engineering Company providing a ... This position bridges the gap between software development, DevOps infrastructure, and rigorous end ...

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Photon is a leading company in the field of [industry/field], recognized for its commitment to innovation and excellence. The company's workplace is characterized by a culture of collaboration, where employees are encouraged to share ideas and work together to drive progress, as well as a focus on employee well-being and professional development. Joining Photon offers opportunities for individuals to contribute to cutting-edge projects, develop their skills, and grow their careers in a dynamic and supportive environment.

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    Software Engineer Python - Advanced

    Photon

    Columbus, OH • On-site

    Other

    Posted 10 days ago


    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