We are looking for a passionate AI Engineer with hands-on experience in Generative AI, RAG systems, LLMs, and Computer Vision to help design and deploy next-generation AI solutions. You will work on building intelligent systems using LangChain, LLM fine-tuning, OCR, and LLM evaluation pipelinesKey
Responsibilities:
- Develop and optimize RAG-based architectures for high-quality contextual retrieval and response generation.
- Work on LLM fine-tuning, prompt engineering, and evaluation frameworks to measure model performance and accuracy.
- Fine-tune LLM models to cater to specific business needs, ensuring high accuracy and efficiency.
- Apply Computer Vision techniques for image processing, object detection, and real-time video analytics.
- Collaborate with backend and ML teams to integrate AI components into production using FastAPI, Docker, and GCP or AWS.
- Continuously explore advancements in GenAI, LangChain, and LLM evaluation to enhance system performance.
Required Skills & Qualifications:
- Bachelor’s or Master degree in Computer Science, AI/ML, or a related field.
- 2 years of hands-on experience in AI/ML model development.
- Strong programming skills in Python with frameworks such as PyTorch or TensorFlow.
- Experience with LLMs, LangChain, RAG, or LLM evaluation pipelines.
- Knowledge of OCR tools (e.g., Tesseract, EasyOCR) and Computer Vision frameworks (e.g., OpenCV, YOLO).
- Familiarity with model deployment, vector databases, and inference optimization.
- Good understanding of prompt engineering, fine-tuning, and model evaluation metrics.
- Strong analytical mindset, problem-solving ability, and teamwork skills.
Job Types: Full-time, Contract
Contract length: 12 months
Pay: Rs100,000.00 per month
Ability to commute/relocate:
- Islamabad G-8/Markaz: Reliably commute or planning to relocate before starting work (Required)
Application Question(s):
- What is your expected salary?
- It's an onsite full-time job, are you comfortable commuting to this job's location?
Education:
Experience:
- Generative AI: 2 years (Required)
Work Location: In person