GenAI Engineer

Posted 2 Days Ago
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Lahore, Punjab, PAK
In-Office
Mid level
Information Technology • Machine Learning • Marketing Tech • Software • App development • Generative AI
Tkxel delivers AI and software solutions for enterprises, specializing in cloud, data, and automation.
The Role
Design, fine-tune, and deploy LLMs and generative models; build end-to-end training/inference pipelines; implement prompt engineering and RAG; integrate GenAI into applications; optimize model performance, scalability, and security; collaborate with cross-functional teams and stay current with LLMOps and ML infrastructure advancements.
Summary Generated by Built In

We are looking for a Generative AI Engineer with 3+ years of hands-on experience in building AI-driven applications. The ideal candidate will have strong expertise in machine learning, deep learning, and large language models (LLMs), with a passion for applying GenAI to solve real-world problems. You will collaborate with product, data science, and engineering teams to design, fine-tune, and deploy generative AI models at scale.

Key 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 (Retrieval-Augmented Generation), 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 the latest advancements in Generative AI, LLMOps, and ML infrastructure.



Requirements
  • 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.

  • Proficiency in Python and libraries like PyTorch, TensorFlow, Hugging Face Transformers.

  • Solid understanding of LLMs, embeddings, vector databases (Pinecone, Qdrant, Weaviate, FAISS).

  • Experience with RAG pipelines, fine-tuning, or prompt engineering.

  • Familiarity with cloud platforms (AWS, GCP, Azure) for ML deployment.

  • Strong knowledge of APIs, microservices, and containerization (Docker, Kubernetes).

  • Experience with LangChain / LangGraph LlamaIndex for AI application orchestration.

  • Knowledge of MLOps / LLMOps pipelines.

  • Exposure to multimodal AI (text, image, speech).

  • Hands-on experience with vector search optimizations.

  • Contributions to open-source AI projects.



Skills Required

  • 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
  • Proficiency in Python
  • Experience with PyTorch, TensorFlow, and Hugging Face Transformers
  • Solid understanding of LLMs, transformer architectures (GPT, BERT, LLaMA), embeddings
  • Experience with vector databases (Pinecone, Qdrant, Weaviate, FAISS) and vector search optimizations
  • Experience building RAG pipelines, fine-tuning models, and prompt engineering
  • Familiarity with cloud platforms for ML deployment (AWS, GCP, Azure)
  • Strong knowledge of APIs, microservices, and containerization (Docker, Kubernetes)
  • Experience with LangChain, LangGraph, or LlamaIndex for AI orchestration
  • Knowledge of MLOps / LLMOps pipelines and ML infrastructure
  • Exposure to multimodal AI (text, image, speech)
  • Contributions to open-source AI projects
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The Company
HQ: Reston, VA
1,000 Employees
Year Founded: 2008

What We Do

AI driven technology solutions for modern enterprises. We help organizations transform, scale, and innovate through a combination of artificial intelligence and advanced software engineering. By applying intelligent automation and data driven systems, businesses can simplify operations, improve efficiency, and unlock new growth opportunities. Our expertise includes AI strategy and consulting to identify high impact opportunities, AI development to build machine learning models and predictive systems, and intelligent automation to streamline workflows and boost productivity. We also deliver cloud migration, application modernization, embedded systems, and digital product engineering to help businesses move beyond legacy limitations and build scalable, future ready solutions. With a strong focus on results, we enable faster time to market, reduced operational costs, and improved performance across critical business functions. Every solution is tailored to specific goals, ensuring measurable outcomes and long term value. Take the next step toward smarter growth. Contact us now for a consultation and start transforming your business today.

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