Intelligent Systems Developer

7 days ago

Lahore, Punjab, Pakistan beBeeDeveloper Full time

Job Title: Intelligent Systems Developer

About the Role

We are seeking an experienced Intelligent Systems Developer to join our team. As a key member of our AI development team, you will be responsible for designing, developing, and deploying in-house machine learning models for business-critical applications.

Your primary focus will be on developing autonomous AI-driven agents for tasks such as reasoning, decision-making, automation, and contextual understanding.

You will work closely with our team to customize and deploy GPT, LLaMA, Claude, Mistral, and other foundation models to solve industry-specific challenges.

In addition, you will design scalable, production-ready AI workflows using Python, LangChain, LlamaIndex, OpenAI functions, and AutoGPT.

You will also enhance AI agents with retrieval-augmented generation (RAG), vector databases (FAISS, Pinecone, Weaviate, ChromaDB), and knowledge graphs.

Your expertise will also be applied to create multimodal AI applications, implement reinforcement learning, agentic workflows, and action-planning techniques to enhance AI autonomy.

You will optimize and deploy models on cloud platforms (AWS, Azure, GCP) and ensure efficiency in a microservices-based architecture.

Furthermore, you will leverage few-shot learning, prompt chaining, and tool-use APIs to improve AI reasoning capabilities.

As a responsible AI developer, you will develop solutions that address bias, explainability, and security concerns.

Requirements
  • Proven experience developing GenAI-powered applications and AI agents.
  • Strong proficiency in Python and AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, LangChain, LlamaIndex, OpenAI API).
  • Hands-on expertise in LLM fine-tuning, model adaptation, and prompt engineering.
  • Familiarity with vector databases (FAISS, Pinecone, Weaviate, ChromaDB) and knowledge retrieval techniques.
  • Experience integrating AI with APIs, automation frameworks, and microservices.
  • Working knowledge of cloud-based AI deployment (AWS, Azure, GCP).
  • Understanding of NLP, reinforcement learning, and multi-agent architectures.
  • Strong problem-solving skills, ability to work independently, and in a collaborative team environment.
  • Excellent communication skills with a passion for AI-driven innovation.

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