Senior AI Engineer

**Role Summary** We are seeking a skilled and AI Engineer to design, develop, and deploy scalable Generative AI and Agentic AI solutions. In this role, you will lead the end\-to\-end technical delivery of enterprise\-grade conversational platforms and intelligent agents capable of autonomous decision\-making and tool use. You will act as an architecture owner, driving decisions on Large Language Model (LLM) behavior, Retrieval\-Augmented Generation (RAG) implementation, and production readiness. **Key Responsibilities:** * Agentic System Architecture: Design and architect multi\-agent systems, planners, and collaborative agent frameworks. * LLM Engineering: Configure and fine\-tune foundation models (such as GPT\-4o, Claude, or Llama) and develop modular prompt pipelines for dynamic reasoning. * RAG Implementation: Build and operationalize RAG pipelines for enterprise knowledge access, including document chunking, embedding generation, and similarity search. * Memory \& Context Management: Design short\-term and long\-term memory architectures, leveraging vector databases (e.g., Pinecone, Milvus, Weaviate) and semantic memory pipelines. * Evaluation \& Observability: Implement sophisticated evaluation frameworks to measure Task Adherence, Tool Call Accuracy, and Intent Resolution using tools like the Azure AI Evaluation library and LangSmith. * MLOps \& LLMOps: Establish CI/CD pipelines for continuous integration, delivery, and monitoring of AI models using Azure DevOps or GitHub Actions. * Security \& Compliance: Ensure data sovereignty and implement safety mechanisms, such as Azure AI Content Safety filters and PII handling, to mitigate hallucinations and ensure responsible AI practices. **Technical Requirements:** * Experience: 5–6 years of software engineering experience, with at least 2–3 years specifically dedicated to building and deploying LLM\-based solutions in production. * Cloud Proficiency: Hands\-on expertise with Microsoft Azure (Azure OpenAI, Azure AI Foundry, Microsoft Fabric), Google Cloud Platform (Vertex AI), or AWS. * Programming: High proficiency in Python is mandatory; experience with JavaScript/TypeScript or C\# is highly desirable. * AI Frameworks: Deep expertise in LangChain, LlamaIndex, and major ML frameworks like PyTorch or TensorFlow. * Modern Infrastructure: Mastery of containerization tools like Docker and orchestration platforms like Kubernetes (AKS/GKE). * API Development: Strong experience in building and managing REST APIs using FastAPI, Flask, or Azure API Management. **Preferred Qualifications:** * Advanced Tooling: Familiarity with Microsoft Agent Framework, DSPy, or prompt\-based automation and orchestration patterns. * Certifications: Azure certifications such as Azure AI Engineer Associate or Azure Data Scientist Associate. * Soft Skills: Proven ability to mentor junior engineers, collaborate with cross\-functional teams, and communicate complex technical concepts to non\-technical stakeholders. **Note:** * Shift Time: PKT 12:30 PM to 09:30 PM * Location: Delta\-11 69\-Abid Majeed Road, NASTP (Old Airport Building), Lahore Cantt