Senior AI Engineer

4 days ago

Islamabad, Islamabad, Pakistan Convo Full time 80,000 - 180,000 per year

The Sr. AI Engineer will design, architect, and implement
advanced AI systems
leveraging
multi-agent frameworks
,
RAG pipelines
, and
LLM orchestration layers
. You'll be responsible for building intelligent, scalable workflows that enable reasoning, contextual understanding, and autonomous task coordination across various enterprise use cases.

Key Responsibilities

  • Architect and deploy multi-agent AI systems using frameworks like LangGraph, CrewAI, or custom orchestrators.
  • Design and optimize Retrieval-Augmented Generation (RAG) pipelines for contextual reasoning and dynamic knowledge synthesis.
  • Integrate vector databases and semantic search layers (e.g., Pinecone, Weaviate, FAISS) for efficient knowledge retrieval.
  • Develop modular LLM pipelines combining tools, memory, and dynamic context switching.
  • Implement Python-based AI microservices with robust APIs for reasoning, planning, and data processing.
  • Conduct prompt engineering, evaluation, and adaptive tuning to improve model accuracy and reliability.
  • Build autonomous data ingestion and learning loops to continuously improve AI system performance.
  • Collaborate with cross-functional teams to align AI pipelines with product goals and business logic.
  • Research and prototype new frameworks in agentic AI, self-correcting systems, and multi-modal reasoning.

Required Skills

  • Minimum 5+ years of experience
  • Strong expertise in LLMs, NLP, RAG architectures, and multi-agent orchestration.
  • Proficiency in Python, LangChain, LangGraph, and OpenAI / Hugging Face APIs.
  • Experience deploying AI pipelines in production environments (microservices or distributed systems).
  • Hands-on with vector DBs, semantic embeddings, and knowledge graphs.
  • Solid grasp of LLM evaluation, memory management, and context-aware reasoning.
  • Experience integrating AI tools with backend systems (e.g., GitHub, Azure DevOps, RESTful APIs and FASTAPIs).
  • Strong understanding of system design, data pipelines, and cloud-based AI architectures.

Nice to Have

  • Familiarity with LangGraph, CrewAI, LlamaIndex, or Semantic Kernel.
  • Experience building autonomous agents or self-improving task networks.
  • Exposure to Azure OpenAI, Vertex AI, or Anthropic Claude API.
  • Background in AI evaluation, reinforcement learning from human feedback (RLHF), or tool-augmented reasoning.
  • Ability to mentor teams in prompt engineering, AI safety, and agentic framework design.

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