Sr. AI Engineer

We are seeking a Senior AI Engineer to join our team in Karachi, located at Shahrah-e-Faisal. This full-time role offers an exciting opportunity to lead the design, development, and deployment of advanced AI solutions that enhance both customer-facing products and internal engineering processes. You will work at the cutting edge of Agentic AI, autonomous software engineering, and enterprise AI platforms, driving innovation and delivering impactful AI initiatives across the organization.

Key Responsibilities
- Design and develop production-grade AI applications using Python and contemporary AI frameworks.
- Create autonomous AI agents capable of planning, reasoning, memory management, tool integration, and multi-agent orchestration.
- Build AI-driven software development lifecycle (SDLC) workflows that automate business analysis, technical specifications, development, testing, deployment, and operational support.
- Develop Retrieval-Augmented Generation (RAG) solutions leveraging enterprise knowledge bases and vector databases.
- Integrate AI systems with Git, CI/CD pipelines, project management tools, enterprise applications, and third-party services.
- Collaborate closely with Product, Engineering, QA, DevOps, and Operations teams to ensure successful delivery of AI projects.
- Conduct research on emerging AI technologies and promote innovation throughout the company.

Required Qualifications
- Minimum of 5 years of software engineering experience, with strong proficiency in Python.
- Proven experience in building production AI and large language model (LLM) applications.
- Hands-on expertise with Agentic AI frameworks such as LangGraph, LangChain, CrewAI, AutoGen, LlamaIndex, or similar platforms.
- Experience designing and implementing RAG architectures using vector databases like FAISS, Chroma, Pinecone, Weaviate, or Milvus.
- Solid understanding of OpenAI, Claude, Gemini, Llama, Mistral, prompt engineering, structured outputs, and tool/function calling.
- Familiarity with web frameworks such as FastAPI, Django REST Framework, or Flask.
- Working knowledge of Git, Docker, CI/CD pipelines, cloud platforms (AWS, Azure, or GCP), and MLOps best practices.

Preferred Qualifications and Benefits
- Experience with Model Context Protocol (MCP) is a plus.
- Familiarity with AI evaluation and observability tools like LangSmith or Phoenix.
- Background in building enterprise AI copilots or AI platforms.
- Experience in mobility, transportation, or rental technology sectors is desirable.

If you are passionate about autonomous AI, enterprise-scale LLM applications, and transforming software development through intelligent systems, this role offers a unique platform to make a significant impact. Join us to help redefine the future of AI-driven software engineering.