C
Cedar Global Solutions
Senior AI Engineer
Skills
Google Cloud PlatformDockerPythonMachine LearningAIAWSNLP / Natural Language ProcessingAzure
19 days ago
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Important information
Contract type:
Permanent
Location:
Lahore, Punjab, Pakistan
Work mode:
Onsite
Published on:
8 October 2026
What they need
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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