We are seeking an AI Engineer with a strong foundation in Agentic AI and Natural Language Processing (NLP). The ideal candidate will be responsible for designing, developing, and deploying intelligent systems powered by Large Language Models (LLMs), multi-agent frameworks, and autonomous AI agents to solve real-world, production-grade problems.
Key Responsibilities;
1. Agentic AI & Multi-Agent Systems
Design and implement agent-based architectures using frameworks such as CrewAI, LangGraph, AutoGen, LangChain, or similar tools
Develop multi-agent workflows for task orchestration, autonomous decision-making, and execution
Integrate LLMs with external tools, APIs, and memory systems
Develop NLP solutions for tasks such as summarization, classification, and text generation
Contribute to internal or open-source model repositories
3. Data Engineering & Processing
Pre-process, clean, and analyze large-scale datasets
Collaborate with data engineering teams to design scalable and efficient data pipelines
4. Evaluation & Optimization
Design and implement evaluation metrics for model performance
Optimize models for accuracy, latency, cost, and scalability
5. Collaboration & Research Integration
Work closely with research, product, and engineering teams
Stay updated with advancements in LLMs, agentic architectures, and AI safety
6. Documentation & Communication
Maintain clear technical documentation for models, pipelines, and agent workflows
Present findings and insights to both technical and non-technical stakeholders
Required Qualifications;
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field
Strong programming skills in Python
Hands-on experience with PyTorch or TensorFlow
Solid understanding of LLMs, prompt engineering, and fine-tuning techniques
Exposure to Agentic AI or multi-agent systems
Experience with distributed systems and large-scale data processing
Strong analytical, problem-solving, and collaboration skills
Preferred Skills;
Experience with LangChain, AutoGen, LangGraph, WatsonX
Cloud experience: AWS, GCP, Azure, or IBM Cloud
Contributions to open-source projects
Experience with RAG (Retrieval-Augmented Generation) and vector databases
Understanding of AI safety, alignment, and ethical AI practices
Job Type: Full Time
Experience: 0–3 years (Experience in Agentic AI / LLM-based systems preferred)
Location: Karachi, Pakistan
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