Technical Lead – Laravel, ReactJS & AI Integration

0 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Key Responsibilities

  • Lead end-to-end software development of our platform with a focus on backend (Laravel) and frontend (ReactJS)
  • Architect, review, and optimize codebases, ensuring best practices in performance, maintainability, and scalability
  • Integrate Generative AI (GenAI) solutions, LLMs, and recommendation systems into our existing product roadmap
  • Guide implementation of AI-assisted development tools like GitHub Copilot and ensure effective use of MLOps pipelines
  • Oversee CI/CD processes using tools such as GitHub Actions and Jenkins; maintain clean DevOps hygiene
  • Lead data pipeline development including vectorization, use of VectorDB, and AI model integration (e.g., Mistral, LLaMA 3)
  • Mentor and review code from junior developers; build a culture of quality, learning, and innovation
  • Conduct feasibility and architectural evaluations for integrating technologies like RAG, vector databases, or MCP protocols
  • Collaborate closely with product and design teams to translate ideas into tangible, efficient tech solutions

Must-Have Skills

  • Proven experience in

    Laravel

    (PHP) and

    ReactJS

  • Solid knowledge of

    cloud infrastructure

    , especially

    AWS (EC2, RDS, S3, etc.)

  • Strong understanding of

    AI/ML integration

    : fine-tuning models, vectorization, and AI-based app features
  • Hands-on experience with

    GitHub Copilot

    or similar AI-powered development tools
  • Familiarity with

    scraping tools

    , agent-based automation, and handling proxy rotation/IP masking
  • Experience with

    CI/CD pipelines

    (Jenkins, GitHub Actions)
  • Exposure to

    vector databases

    (e.g., Pinecone, Weaviate, or similar)
  • Solid understanding of software architectural principles, testing frameworks, and secure coding practices

Nice-to-Have Skills

  • Experience with

    MCP protocols

    , RAG architecture, or LLM fine-tuning
  • Previous work on

    AI chatbots

    or recommendation systems
  • Familiarity with

    Python

    (for backend AI workflows)
  • Experience with

    Scrapy

    ,

    Composer packages

    for scraping, or other data ingestion pipelines
  • Knowledge of

    Nginx

    configuration and proxy management

What You’ll Get

  • Opportunity to lead and shape the technical direction of a growing AI-powered platform
  • Work in a flat, collaborative, and intellectually curious team
  • Exposure to cutting-edge AI tools and research-driven product development
  • Flexible work culture with scope for innovation and ownership


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