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Open nowPosted 195 days ago

Senior AI Engineer

Cedar Holdings International15 open roles

Where
Cedar- Lahore- The Enterprise Building,Multan Road, Lahore
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Your applicationOpen nowSenior AI EngineerCedar Holdings International · Cedar- Lahore- The Enterprise Building,Multan Road, Lahore

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 195 days ago

The posting

Responsibilities:

  • Design, develop, and deploy AI-powered conversational agents using LLMs (e.g., GPT-4, Claude, LLaMA) and frameworks (e.g., LangChain, AutoGen, CrewAI).
  • Architect end-to-end agent pipelines including memory, tools, planning, retrieval (RAG), and reasoning.
  • Build multi-agent systems capable of performing complex tasks autonomously (e.g., task orchestration, goal management, agent collaboration).
  • Optimize agent behavior through prompt engineering, fine-tuning, and reinforcement learning from human feedback (RLHF).
  • Integrate agents into various interfaces (e.g., web apps, messaging platforms, voice assistants).
  • Collaborate with cross-functional teams (engineering, design, product) to define conversational UX and improve engagement.
  • Stay current with the latest advancements in LLMs, agent frameworks, and conversational AI – and incorporate relevant innovations into the stack.
  • Lead code reviews, mentor junior AI engineers, and help shape the AI roadmap.

Required Skills:

  • Bachelor’s or Master’s degree in Computer Science, AI, NLP, or related field. PhD a plus.
  • 5+ years of hands-on experience in ML/AI, with at least 2+ years focused on LLMs, chatbots, or AI agents.
  • Strong proficiency in Python and libraries such as LangChain, Hugging Face Transformers, OpenAI SDK, or similar.
  • Deep understanding of LLMs, prompt engineering, vector databases (e.g., Pinecone, FAISS), and RAG pipelines.
  • Experience building production-grade chatbot or AI assistant systems.
  • Strong understanding of dialogue systems, context management, and personalization.
  • Familiarity with cloud-based ML platforms (AWS/GCP/Azure), containerization (Docker), and APIs.

Benefits:

  • Competitive Salary package.
  • Opportunities for professional development and growth.
  • Collaborative and inclusive work environment.
  • Paid Time-off.
  • Company Transport (For Females)
  • Fuel allowance (As per Policy)

Position: Onsite

Timing: Night Shift Only

Location: The Enterprise Building, Multan Road, Near Thokar

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