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Exper-Labs is seeking an expert in AI to develop intelligent applications powered by Large Language Models (LLMs). The ideal candidate will have 3-6 years of experience in building AI Agents for our platform, focusing on integrating third-party LLM APIs using advanced prompt engineering and RAG techniques.
Key Responsibilities:- Develop AI Solutions: Design, build, test, and maintain the core logic behind our AI agents within FastAPI-based services.
- 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 to enrich LLM interactions with relevant context through Retrieval-Augmented Generation techniques.
- Build Scalable Services: Develop robust FastAPI microservices to serve and manage agent logic, LLM interactions, and platform-level workflows within containerized environments.
- Data Preparation: Process and curate data to support prompt context, RAG pipelines, and potentially model fine-tuning.
- Collaborate Across Teams: Partner with product and engineering teams to deliver AI features and adapt to advancements in the LLM ecosystem.
- 3–6 years of hands-on software engineering experience in AI or ML-based systems.
- Experience integrating external LLMs 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.
- Foundational understanding of ML principles and exposure to tools like PyTorch, TensorFlow, or Hugging Face.
- Comfortable working with cloud platforms and containerization tools.
- Strong analytical mindset and communication skills.
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