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    Home/Jobs/Senior .NET & AI/ML Software Engineer

    Senior .NET & AI/ML Software Engineer

    ImagineX

    United States
    5-8 years
    Today
    ₹25–44 LPA
    Full-time
    Remote

    Skills Required

    LLM
    Gen AI
    OpenAI
    Vector Database
    .NET
    Azure AI
    ML pipeline

    Description

    ImagineX is a tech company that deploys AI-assisted teams to build and secure mission-critical enterprise solutions. We're looking for a Senior Software Engineer, AI/ML who combines a strong .NET engineering foundation with real, hands-on experience building AI-powered systems in production.

    Company: ImagineX

    Role: Senior .NET & AI/ML Software Engineer

    Location: Remote

    Experience:

    • Strong .NET engineering background with experience building production-grade systems
    • Demonstrated experience shipping AI/ML features in production
    • Hands-on experience integrating LLMs, model APIs, vector databases, or ML pipelines
    • Ability to influence architecture, product direction, and long-term technical strategy
    • Experience working in fast-paced, client-facing, or consulting-style environments

    Key Skills:

    • .NET
    • AI/ML
    • LLMs
    • vector search
    • embeddings
    • modern AI techniques
    • Azure AI
    • OpenAI

    Role Focus:

    • Design, build, and deploy AI-powered features and systems within a modern .NET environment
    • Own technical direction for AI/ML components, including architecture, model integration, and performance optimization
    • Partner with product, engineering, and client stakeholders to shape the roadmap for AI-driven capabilities
    • Evaluate and integrate LLMs, vector search, embeddings, and other modern AI techniques into production workflows
    • Lead by example through high-quality code, strong engineering practices, and thoughtful technical decision-making
    • Drive experimentation, prototyping, and rapid iteration to validate AI-powered product ideas
    • Ensure AI systems are reliable, observable, and maintainable in production environments
    • Mentor engineers and contribute to a culture of technical excellence and innovation

    Nice to have:

    • Experience with Azure AI, OpenAI, or other enterprise AI platforms
    • Background in ML Ops, model evaluation, or production monitoring of AI systems
    • Experience with distributed systems, event-driven architectures, or cloud-native design
    • Prior work on financial, payments, or risk-related systems

    Other:

    • 100% remote full-time position
    • NPS 91
    • Structured like a software company, not a traditional consultancy
    • Dedicated teams specialize in software, data, and AI across the U.S. and LATAM

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

    Introduction to Generative AI

    Coursera

    Google Cloud introduction covering Gen AI concepts, model types, and Google AI tools.

    Large Language Models: Application through Production

    edX

    Production-focused LLM course covering deployment, monitoring, and scaling.

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