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    Job · 21264659

    BENGALURU · FULLTIME

    Staff Software Engineer-Python, Gen AI,LLM

    GE Vernova

    GE Vernova

    Bengaluru · onsite · Posted 5d ago

    Sourced fromNaukri
    Undisclosed3–7 yrsfulltimeBengaluru

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    Section · 01

    About this role

    Job Summary

    We are seeking a talented Staff Engineer to design, develop, and deliver scalable software solutions with a focus on Generative AI and modern cloud technologies. The ideal candidate will have strong software engineering fundamentals and hands-on experience building AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern AI frameworks. You will collaborate with cross-functional teams to translate business requirements into reliable, secure, and high-performing solutions while contributing to technical design, architecture, and engineering best practices.

    Responsibilities
    • Design, develop, and maintain enterprise-grade Generative AI applications.
    • Build Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge sources.
    • Develop AI assistants, copilots, and intelligent workflows using LLMs and AI orchestration frameworks.
    • Integrate foundation models from providers such as OpenAI, Anthropic, Azure OpenAI, Google Gemini, and open-source models.
    • Design and implement REST APIs and microservices to support AI applications.
    • Collaborate with cross-functional teams to translate business requirements into technical solutions.
    • Optimize AI application performance, scalability, latency, and operational costs.
    • Implement prompt engineering, model evaluation, and AI guardrails to improve solution quality.
    • Follow software engineering best practices, including code reviews, automated testing, CI/CD, and DevOps.
    • Contribute to technical design discussions and architecture decisions.
    • Mentor junior engineers and promote engineering best practices within the team.
    • Stay current with emerging AI technologies and recommend improvements to existing solutions.
    Required Qualifications
    • Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field.
    • 8+ years of software engineering experience, including hands-on experience with Generative AI technologies.
    • Strong proficiency in Python and SQL.
    • Experience building applications using Large Language Models (LLMs).
    • Hands-on experience with Retrieval-Augmented Generation (RAG) and vector databases.
    • Experience with AI orchestration frameworks such as LangChain, LlamaIndex, or Semantic Kernel.
    • Experience developing REST APIs and microservices.
    • Experience with Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP).
    • Strong understanding of software design principles, distributed systems, and cloud-native application development.
    • Experience with Git, CI/CD pipelines, and modern software development practices.
    • Strong analytical, problem-solving, and communication skills.
    Additional Information
    • Relocation Assistance Provided: Yes

    Sourced from naukri

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    Section · 02

    Skills

    CI/CD Pipelinesai assistantscloud platformsapiscloud technologiesautomated testingai frameworksamazon web servicesai technologiesBusiness RequirementsAzure OpenAIcloudArchitectureMicrosoft AzureArtificial IntelligenceAnthropic SDK

    Section · Company

    About GE VERNOVA

    GE Vernova

    GE Vernova

    Power

    10k+

    employees

    Cambridge, MA

    US

    About

    Addresses the urgent challenge of decarbonizing commercial aviation, aiming to innovate for a sustainable future in flight.

    Industries

    PowerHardware & NetworkingEngineering & ConstructionOil & GasSoftware ProductIndustrial Automation

    Employee ratings

    1,495 reviews

    4.1/ 5

    Culture

    4.1

    Career growth

    3.3

    Work-life

    4.1

    Employees rate it well for

    Work Culture189Work Life Balance169Job Security148Learning112Senior Management110

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