AI Engineer

2 days ago


Islamabad, Islamabad, Pakistan BEIT-Resolve Full time $90,000 - $120,000 per year

Company Description

At RESOLVE, we don't just build software—we build intelligent systems that power solutions across health tech, fintech, and more. We're now expanding our AI team and are looking for a
Deep Learning Engineer
who's eager to dive deep into
LLMs
,
vision-language models
, and the latest in
model fine-tuning
techniques.

What You'll Be Working On

This is not your typical AI role—you'll be building systems that See, Understand, Learn and Generate.

  • Fine-tune
    foundational LLMs
    (Mistral, LLaMA 2/3, Falcon) using parameter-efficient methods like
    QLoRA
    ,
    LoRA
    , and
    Unsloth
    .
  • Develop pipelines for
    vision-language models (VLMs)
    such as
    CLIP
    ,
    BLIP
    ,
    LLAVA
    , and others.
  • Train and evaluate models for use cases like image captioning, visual Q&A, and multi-modal search.
  • Optimize models for inference using
    ONNX
    ,
    TensorRT
    , or
    Triton Inference Server
    .
  • Build reproducible experiments using
    Weights & Biases
    ,
    MLflow
    , or similar tools.
  • Collaborate with engineers and product teams to integrate models into production environments.
  • Work on RAG pipelines, prompt engineering, and alignment for task-specific model behavior.

What You Bring
1.5 to 2 years of practical experience in deep learning roles.

  • Strong Python skills with experience in Hugging Face Transformers, LangChain/LangGraph, FastAPI, and tools like Ollama and vLLM for LLM inference.
  • Hands-on with fine-tuning LLMs (e.g. LLaMA-3 via Unsloth, LoRA/QLoRA), Retrieval-Augmented Generation (RAG), and agentic/multi-agent LLM systems.
  • Exposure to multimodal AI (text + voice/vision), vision models (CNNs, ViTs, VLMs), and datasets like COCO, LAION, or custom data.
  • Familiar with Git, Docker, OpenAI API, and OCR using PaddleOCR v5.

Location

RESOLVE, 4th Floor, SINES Building, NUST, H-12, Islamabad.

  • (On-site, full-time with a 6-month probation period)

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