Artificial Intelligence Engineer Exper Labs

Lahore - Pakistan

Monthly Salary: Not Disclosed

Posted on: 12 hours ago

Vacancies: 1 Vacancy

Job Summary

Our client Exper Labs is looking for Artificial Intelligence Engineer in Lahore.

Job Description
Position Overview

Were 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. Youll 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 Youll 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

36 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.
Bachelors or Masters degree in Computer Science Artificial Intelligence or a related discipline.

Our client Exper Labs is looking for Artificial Intelligence Engineer in Lahore.Job DescriptionPosition Overview Were 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...

Our client Exper Labs is looking for Artificial Intelligence Engineer in Lahore.

Job Description
Position Overview

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

36 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.
Bachelors or Masters degree in Computer Science Artificial Intelligence or a related discipline.