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    Home/Jobs/AI Software Developer

    AI Software Developer

    Advantive

    United States
    3+ years
    Today
    ₹15–28 LPA
    Full-time
    Remote

    Skills Required

    LLM
    RAG
    Azure OpenAI
    Azure AI Search
    Azure Bot Service
    Microsoft Agent Framework
    C#/.NET
    Python
    TypeScript
    Node.js
    APIs

    Description

    Advantive is seeking a Mid-Level AI Software Developer to build AI-powered enterprise software features, focusing on LLM integrations, RAG systems, and AI-driven workflows.

    Company: Advantive

    Role: AI Software Developer

    Location: US - Remote

    Experience:

    • 3+ years of professional software development experience
    • Experience shipping at least one production-deployed AI-powered feature with measurable customer impact within the past 18–24 months
    • Experience working with real production constraints such as operational reliability, data governance, and cost-performance trade-offs in AI-enabled systems
    • Experience working in Agile/Scrum and collaborative cross-functional development environments

    Key Skills:

    • C#/.NET
    • Python
    • TypeScript/Node.js
    • LLM integrations
    • retrieval-augmented generation (RAG) systems
    • AI-powered features
    • API design
    • service integrations
    • relational databases
    • Azure OpenAI
    • Azure AI Search
    • Azure Bot Service
    • Microsoft Agent Framework
    • Git
    • CI/CD pipelines
    • modern software development practices

    Qualification:

    • Bachelor’s degree in Computer Science, Software Engineering, or a related technical field or equivalent demonstrated professional experience

    Role Focus:

    • Design and deliver AI-powered product features end-to-end from requirements to post-release optimization
    • Build and maintain retrieval-augmented generation workflows grounding LLM responses in enterprise data
    • Implement backend services integrating large language models and AI services via APIs
    • Develop AI-assisted workflows and agent-style automations interacting with enterprise data and external systems
    • Create and maintain automated tests, evaluation practices, monitoring, and operational runbooks for AI features
    • Analyze production behavior, user feedback, and telemetry to improve quality, latency, reliability, and cost efficiency
    • Collaborate with product, UX, data, QA, and platform teams to define use cases, acceptance criteria, evaluation methods, and rollout plans
    • Contribute to engineering standards through code reviews, technical design discussions, and shared best practices

    Additional responsibilities:

    • Make and communicate trade-offs between model quality, latency, and cost
    • Deliver reliable, well-tested features with appropriate monitoring, evaluation, and operational readiness

    Nice to have:

    • Familiarity with cloud-hosted AI services such as Azure OpenAI, Azure AI Search, Azure Bot Service, Microsoft Agent Framework or comparable platforms
    • Understanding of evaluation, monitoring, and reliability considerations for AI systems in production
    • Understanding of cost-quality trade-offs in LLM systems including model selection, token efficiency, caching, or reducing unnecessary API calls

    Other:

    • Culture of Growth with talent development, coaching, and challenges
    • Career Acceleration with fast promotion from frontline roles
    • Real Impact on businesses powering supply chains and manufacturing
    • Use of AI technology during hiring process for recording, transcribing, analyzing, and ranking interview responses
    • Interview process includes aptitude and personality assessments prior to recruiter interview
    • Equal opportunity employer committed to diversity, inclusion, and reasonable accommodations

    Prepare for this role

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

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Generative AI with Large Language Models

    Coursera

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

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