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Artificial Intelligence Solutions Developer

3 weeks ago

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Job Title:

Artificial Intelligence Engineer

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  • Job Description:

  • We are seeking a highly skilled AI Developer to join our team. This role involves designing and developing AI-driven applications using Large Language Models (LLMs) and applying sophisticated prompt engineering techniques.

  • You will be responsible for architecting the logic for these agents, enabling them to perform complex tasks within our e-commerce and retail data orchestration pipelines.

  • As Ekyam.ai evolves, this role offers the potential to grow into customizing and deploying LLMs in-house, requiring adaptability and a strong foundation in ML/LLM principles.

    • Key Responsibilities:

    • Design, develop, test, and maintain the core logic for AI Agents within FastAPI services.

    • Orchestrate agent tasks, manage state, interact with platform data/workflows, and integrate LLM capabilities.

    • Implement and optimize Retrieval-Augmented Generation (RAG) patterns using vector databases to provide relevant context to LLM API calls made by agents.

    • Build and maintain scalable FastAPI microservices that host AI Agent logic and handle interactions with LLMs and other platform components in a containerized environment.

    • Prepare and preprocess data required for effective prompt context, RAG retrieval, and potentially for future fine-tuning tasks.

    • Required Skills & Qualifications:

    • 4-6 years of hands-on experience in software development with a strong focus on AI/ML application development.

    • Demonstrable experience integrating and utilizing external LLM APIs (e.g., OpenAI, Anthropic, Google) in applications.

    • Proven experience with prompt engineering techniques.

    • Strong Python programming skills.

    • Practical experience building and deploying RESTful APIs using FastAPI.

    • Experience designing and implementing application logic for AI-driven features or agents.

    • Understanding and practical experience with RAG concepts and vector databases (Pinecone, FAISS, etc.).

    • Solid understanding of core Machine Learning concepts and familiarity with frameworks like PyTorch, TensorFlow, or Hugging Face.

    • Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) for application deployment.

    • Solid problem-solving skills and clear communication abilities.

    • Experience working effectively in an agile environment.

    • Willingness and capacity to learn and adapt towards future work involving deeper LLM customization and deployment.

    • Bachelor's or Master's degree in Computer Science, AI, or a related field.

    • Ability to work independently and collaborate effectively in a remote setting.

Benefits:

  • Opportunity to work with cutting-edge technologies and contribute to the growth of the company.

  • Competitive salary and benefits package.

  • Professional development opportunities and support for further education.

  • Collaborative and dynamic work environment.

Others:

  • Flexible working hours and remote work options.

  • Access to the latest tools and technologies.

  • Opportunity to work on diverse projects and contribute to the company's growth.