senior AI Engineer

Cedar Global Solutions

Lahore

On-site

PKR 1,800,000 - 3,200,000

Full time

8 days ago

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Benefits offered by this job

Competitive salary
Professional development
Inclusive work environment
Paid time-off
Company transport (For Females)
Fuel allowance

Job summary

Cedar Global Solutions is hiring an experienced AI Engineer to design and deploy AI-powered agents using LLMs and modern frameworks. You will architect end-to-end pipelines, including memory, tools, planning, and retrieval, and build multi-agent systems for autonomous tasks.

The role requires 5+ years in ML/AI with 2+ years on LLMs, chatbot or agent development, plus strong Python and tooling skills. You will lead a small team and drive roadmap decisions, working onsite in Pakistan.

Qualifications

  • 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.

Responsibilities

  • Design, develop, and deploy AI-powered conversational agents using LLMs and frameworks.
  • Architect end-to-end agent pipelines including memory, tools, planning, retrieval (RAG), and reasoning.
  • Build multi-agent systems capable of performing complex tasks autonomously.
  • Optimize agent behavior through prompt engineering, fine-tuning, and RLHF.
  • Integrate agents into interfaces (web apps, messaging, voice assistants).
  • Collaborate with cross-functional teams to define conversational UX and improve engagement.
  • Stay current with advancements in LLMs and agent frameworks; incorporate innovations.
  • Lead code reviews, mentor junior AI engineers, shape the AI roadmap.

Skills

Python
LLMs / AI agents
Prompt engineering
Team leadership

Education

Bachelor’s or Master’s degree in CS/AI/NLP

Tools

LangChain
Hugging Face Transformers
OpenAI SDK
Pinecone
FAISS
Docker

Job description

Job Description
  • 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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