Artificial Intelligence Engineer

skilled AI Engineer / Data Scientist

Key Responsibilities

• Fine-tune and adapt

  multimodal LLMs

  (e.g., Qwen-VL, LLaVA, or similar) for domain-specific document understanding.
• Design

  prompt templates and instruction sets

  to improve structured JSON output.
• Perform

  incremental and cross-dataset fine-tuning

  for robust generalization.
• Implement

  evaluation metrics

  and create validation datasets to track performance.
• Optimize inference using

  quantization, LoRA adapters, and frameworks

  such as Ray Serve, vLLM, or Unsloth.
• Collaborate with backend teams to integrate models into

  production systems

  .
• Develop

  monitoring tools

  to log model confidence, token usage, and latency metrics.

Required Skills & Experience

• Strong programming skills in

  Python

  , with experience in

  PyTorch

  and

  Hugging Face Transformers

  .
• Expertise in OCR tools like

  PaddleOCR, Tesseract, or EasyOCR

  .
• Hands-on experience in fine-tuning and serving

  LLMs / VLMs

  (e.g., Qwen, LLaVA, Mistral, Vicuna).
• Solid understanding of

  LoRA / QLoRA / PEFT

  for efficient model training.
• Experience with

  structured data extraction

  ,

  prompt engineering

  , and

  JSON schema generation

  .
• Familiarity with

  Unsloth, Ray Serve, or vLLM

  for scalable inference.
• Proficiency with

  Docker, CUDA, and NVIDIA GPU environments

  .
• Strong grasp of

  tokenization, attention mechanisms, and quantization (4-bit / 8-bit)

  .

Nice to Have

• Experience with

  LLM model serving and orchestration

  .
• Exposure to

  CI/CD pipelines

  and deployment on

  AWS, Azure, or GCP

  .
• Knowledge of

  PDF parsing tools

  (Camelot, PyMuPDF, etc.).
• Prior work in

  document intelligence

  or

  AI-based invoice/data extraction systems

  .

What We Offer

• Opportunity to work on

  cutting-edge Vision-Language AI models

  .
• Hands-on involvement in

  production-grade OCR + LLM pipelines

  .

• Competitive compensation

  and a

  flexible work culture

  .
• Collaborative environment that fosters

  AI innovation

  in enterprise automation.