Senior GenAI Engineer: Scale LLMs & AI Apps

Tkxel LLC; Lahore; On-site; PKR 38,964,653 - 58,446,979; Full time

Job summary

Tkxel is seeking a Generative AI Engineer with 3+ years of hands-on experience in building AI-driven applications. You will design, fine-tune, and deploy generative models at scale, collaborating with product, data science, and engineering teams.

You will work with transformer architectures and build end-to-end pipelines for training, inference, and evaluation, while ensuring scalability, latency, and security in production systems.

Qualifications

• Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or related field.
• 4+ years of experience in machine learning, NLP, or AI development.

Responsibilities

• Design, fine‑tune, and deploy LLMs and other generative AI models for production use cases.
• Work with transformer architectures (GPT, BERT, LLaMA, etc.) for text, image, or multimodal tasks.
• Build end-to-end pipelines for training, inference, and evaluation of AI models.
• Implement prompt engineering, RAG, and model optimization for improved performance.
• Integrate GenAI capabilities into web, mobile, or enterprise applications.
• Leverage frameworks such as LangChain, Hugging Face, TensorFlow, PyTorch.
• Collaborate with backend/frontend teams to develop APIs and services that serve AI models.
• Ensure AI solutions meet scalability, latency, and security requirements.
• Research and stay updated on Generative AI, LLMOps, and ML infrastructure.

Skills

Generative AI

Machine learning

NLP

LLMs

Prompt engineering

RAG pipelines

API design

ML deployment

Open-source AI

Education

Bachelor’s or Master’s in CS/AI/Data Science

Tools

Python

PyTorch

TensorFlow

Hugging Face Transformers

LangChain

LangGraph

LlamaIndex

Docker

Kubernetes

Pinecone

Qdrant

Weaviate

FAISS

Job description

Tkxel is seeking a Generative AI Engineer with 3+ years of hands-on experience in building AI-driven applications. You will design, fine-tune, and deploy generative models at scale, collaborating with product, data science, and engineering teams.

You will work with transformer architectures and build end-to-end pipelines for training, inference, and evaluation, while ensuring scalability, latency, and security in production systems.