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    Job · 18396132

    BENGALURU · FULLTIME

    Forward Deployment Engineer

    Moody's Analytics logo

    Moody's Analytics

    Bengaluru · onsite · Posted 33d ago

    Sourced fromNaukri
    Undisclosed8–10 yrsfulltimeBengaluru

    About a minute. You'll make an account on the way through.

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    Section · 01

    About this role

    Job Purpose

    We are looking for an experienced Forward Deployed Engineer (FDE) who thrives at the intersection of engineering, product, and customer success. In this role, you will work closely with customers and internal teams to design, integrate, and deploy AI-powered solutions in real-world production environments. You will act as a technical owner from solution design through implementation, ensuring high-impact outcomes and customer satisfaction.

    Key Responsibilities

    • Work directly with customers to understand business requirements and translate them into scalable technical solutions.
    • Design, build, and deploy customer-facing applications using React (frontend) and Python (backend).
    • Design systems focusing on forward compatibility, scalability, and maintainability.
    • Lead end-to-end integration and implementation of AI-driven products into customer systems and workflows.
    • Customize and extend core platforms to meet customer-specific use cases while maintaining long-term maintainability.
    • Collaborate closely with Product, Data Science, and Platform Engineering teams using Agile methodologies.
    • Troubleshoot production issues, optimize performance, and ensure reliability of deployed solutions.
    • Act as a technical advisor to customers, helping them adopt best practices for AI-enabled solutions.
    • Contribute to internal tooling, reusable components, and technical documentation.
    • Write, test, and maintain code in accordance with organizational standards and project requirements.

    Requirements

    • 810 years of professional software engineering experience
    • Strong hands-on experience with React.js for building modern, scalable frontend applications.
    • Strong backend development experience using Python and Node JS
    • Solid understanding of AI/ML concepts, including model lifecycle, inference, and real-world deployment considerations.
    • Experience working with AI-powered systems, such as LLMs, ML APIs, or data-driven applications.
    • Proven experience in system integration, including REST APIs, webhooks, and external services.
    • Experience deploying and supporting applications in production environments.
    • Strong problem-solving skills and ability to work in ambiguous, customer-facing scenarios.
    • Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
    • Proficiency with version control (e.g., Git) and CI/CD pipelines (e.g., Jenkins, GitHub Actions)
    • Familiarity with testing frameworks (unit, integration, e2e) and basic security practices (auth, encryption, compliance)
    • Experience with cloud platforms (AWS, GCP, or Azure)


    Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

    Section · 02

    Skills

    Dockercustomer satisfactionAgileCI/CD PipelinesAnalytics toolscloud platformsapisamazon web servicesAnalyticscloudCommunication SkillscomplianceMicrosoft AzureBusiness IntelligenceBackend DevelopmentArtificial Intelligence

    Section · Company

    About Moody's Analytics

    Moody's Analytics logo

    Moody's Analytics

    Analytics & KPO

    761

    employees

    2007

    19 years old

    New York, New York

    United States (USA)

    ₹17.5L PA avg

    Avg at Moody's Analytics

    About

    Moody's Analytics provides financial intelligence and analytical tools supporting our client's growth, efficiency and risk management objectives.

    Industries

    Analytics & KPOFinancial Services

    Employee ratings

    10 reviews

    4.0/ 5

    Culture

    3.6

    Career growth

    3.2

    Work-life

    3.5

    Employees rate it well for

    Work-Life Balance41Company Culture40

    Find them on

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    Forward Deployment Engineer · waiting for your command