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Sati Tech

Information Technology and ServicesLahore

Senior AI/ML Expert

  • Remote
  • Full Time
Posted Jun 5, 2026Apply by Sep 6, 2026

The essentials

  • Experience5 Years
  • Career levelSenior Executive
  • ShiftMorning Shift
  • EducationMaster's degree in Computer Science, Data Science, Electrical Engineering, or equivalent experience; or Bachelor's degree with substantial relevant industry experience and a portfolio of delivered ML projects.

What you’ll be doing

We are hiring a Senior AI/ML & Chatbot/RAG Engineer (Remote).

  • Role: Design, build, and deploy production AI/ML systems and conversational agents.
  • Responsibilities: Develop scalable RAG pipelines; integrate LLMs with vector stores and retrieval layers; collaborate with cross-functional teams to deliver robust, secure, and maintainable solutions; contribute as a key technical peer.
  • Work type: Fully remote, long-term opportunity. Morning shift.
  • Experience level: Executive-level (SVP/VP/Department Head) / Senior contributor with 5+ years building and deploying ML systems.
  • Location: Pakistan remote; city listed as Lahore.
  • Compensation: 300,000 - 450,000 PKR per month.


To apply, provide links to your portfolio, GitHub, or project case studies demonstrating production ML/AI work.

What we’re looking for

  • Must-have: 5+ years building and deploying ML systems; demonstrable end-to-end production projects.
  • Strong proficiency in Python and web frameworks (FastAPI, Flask, Django).
  • Experience with ML libraries: TensorFlow, PyTorch, scikit-learn; data processing with Pandas, NumPy.
  • Practical knowledge of NLP (transformers, tokenization) and/or computer vision (CNNs, transfer learning).
  • Experience with AI chatbots, conversational AI, RAG pipelines, and LLM integrations (OpenAI, Claude, Gemini, Llama, Mistral).
  • Familiarity with LangChain, LangGraph, LlamaIndex, vector DBs (Pinecone, Weaviate, Chroma, FAISS), embedding models, prompt engineering.
  • Experience with AI agents, workflow automation, real-time streaming AI applications.
  • Containerization & orchestration: Docker, Kubernetes; Redis; cloud deployments (AWS, GCP, Azure).
  • REST APIs, microservices architecture, PostgreSQL, MongoDB, Git, CI/CD, production monitoring, MLOps pipelines.
  • Model monitoring, A/B testing, and inference performance optimization.
  • Preferred / Nice-to-have: Fine-tuning models; prior leadership or departmental-level experience.

About the employer

Sati Tech

Information Technology and Services · Lahore, Pakistan

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About Us

Sati Tech is a US-based AI focused software house. We specialize in custom software development, responsive web and mobile applications, cloud integration, IT consulting, and managed services. With a hands-on approach, Sati Tech partners with star

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