Artificial Intelligence Engineer

7 days ago

Lahore, Punjab, Pakistan Exper Labs Full time
Position Overview

We're looking for a skilled AI Engineer with 3 to 6 years of experience in building intelligent applications powered by Large Language Models (LLMs). This role centers around developing AI Agents for our platform, with a focus on integrating third-party LLM APIs (such as OpenAI, Anthropic, and Google) using advanced prompt engineering and RAG (Retrieval-Augmented Generation) techniques. You'll be working primarily with Python and FastAPI, designing logic that empowers these agents to handle complex workflows in the e-commerce and retail data space.

What You'll Do
  • Develop AI Agents: Architect, build, test, and maintain the core logic behind our AI agents within FastAPI-based services. Manage agent state, orchestrate tasks, integrate with platform data, and leverage LLM capabilities.
  • LLM Integration & Prompt Design: Work with APIs from major LLM providers, crafting and iterating on prompts tailored to retail use cases like summarization, Q&A, and content generation.
  • Implement RAG Solutions: Use vector databases (e.g., Pinecone, FAISS) to enrich LLM interactions with relevant context through Retrieval-Augmented Generation techniques.
  • Build FastAPI Services: Develop scalable FastAPI microservices to serve and manage agent logic, LLM interactions, and platform-level workflows within containerized environments (Docker, Kubernetes).
  • Data Preparation: Process and curate data to support prompt context, RAG pipelines, and potentially model fine-tuning in the future.
  • Collaborate Across Teams: Partner with product and engineering teams to deliver AI features and continuously adapt to advancements in the LLM ecosystem. Be ready to contribute to in-house model training and optimization efforts as we grow.
What You Bring
  • 3–6 years of hands-on software engineering experience, with a solid focus on AI or ML-based systems.
  • Experience integrating external LLMs (OpenAI, Anthropic, Google, etc.) into real-world applications.
  • Strong skills in prompt engineering and designing effective interactions with LLMs.
  • Proficiency in Python and familiarity with FastAPI for building robust RESTful APIs.
  • Practical knowledge in architecting AI-powered features, workflows, or autonomous agents.
  • Hands-on experience with RAG implementations and vector databases like Pinecone or FAISS.
  • Foundational understanding of ML principles and exposure to tools like PyTorch, TensorFlow, or Hugging Face.
  • Comfortable working with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
  • Strong analytical mindset and communication skills.
  • Familiar with Agile development methodologies and remote collaboration.
  • Eager to grow in the AI space and contribute to future innovations in LLM training and deployment.
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related discipline.
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