Artificial Intelligence Engineer

1 years

0 Lacs

Posted:2 months ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Contractual

Job Description

🚀 Job Title: AI Engineer (Full Stack / Model Deployment Specialist)


Location:

Type:

Experience Level:

Salary:

Potential:


🧩 About Us

Funding Bay

AI Engineer


🔧 What You’ll Do


  • End-to-End Ownership of ML Models:

    From training and evaluation to optimization and deployment.
  • Deploy ML Models

     using AWS services (EC2, Lambda, S3, SageMaker, or custom Docker setups).
  • Optimize Model Performance:

    Ensure fast inference, low memory usage, and high-quality results.
  • Integrate AI into MERN Stack Applications:

    Build APIs and interfaces to expose your models to the frontend.
  • Collaborate Cross-Functionally

     with frontend, product, and design teams.
  • Build scalable and secure pipelines for

    data ingestion, model serving, and monitoring.

  • Optimize for Speed & Usability

    : Ensure both backend inference and frontend UI are responsive and seamless.


✅ What We’re Looking For


  • Proficient in MERN Stack

     (MongoDB, Express.js, React, Node.js)
  • Strong Python skills

    , especially for AI/ML (NumPy, Pandas, scikit-learn, TensorFlow or PyTorch etc)
  • Hands-on with Model Optimization

    : Quantization, pruning, distillation, or ONNX deployment is a plus
  • Solid AWS Experience:

    EC2, S3, IAM, Lambda, API Gateway, CloudWatch, etc.
  • Experience with 

    Docker & CI/CD pipelines

     (e.g., GitHub Actions, Jenkins)
  • Comfortable building and consuming REST/GraphQL APIs
  • Familiar with ML deployment tools like 

    FastAPI, Flask, TorchServe, or SageMaker endpoints

  • Good understanding of performance profiling, logging, and model monitoring


⭐ Nice to Have


  • Experience with

    LangChain

    ,

    LLMs

    , or

    NLP pipelines

  • Startup or fast-paced team background
  • Open-source contributions or live-deployed AI projects


🌱 Why Join Us?


  • Build & deploy real AI products that go live
  • Work in a

    growth-focused, high-ownership

    environment
  • 6-month contract

    with the potential for

    a Permanent full-time

  • Flexible work culture & flat hierarchy
  • Learn fast and build faster with

    founders and builders

  • Take ownership of core parts of the AI stack
  •  Competitive compensation based on experience


📬 To Apply


Send us:

  • Your

    resume

  • A link to your

    GitHub

    or

    portfolio

  • A short paragraph about a project where you deployed an

    optimized AI model

📧 Email: developer@fundingbay.co.uk or directly apply

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