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AI Engineer

Compunnel Inc.

We are seeking a skilled AI Engineer with expertise in advanced Python programming, AI/ML frameworks, and modern generative AI technologies. The ideal candidate will have experience working with large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), vector databases, and AI agentic frameworks to build scalable and innovative AI-driven solutions.

Key Responsibilities

  • Design, develop, test, and deploy advanced AI/ML models and algorithms using Python.
  • Develop and optimize prompt engineering techniques to improve AI model performance and response quality.
  • Build and integrate AI-driven solutions into enterprise systems and business workflows.
  • Utilize AI agentic frameworks to develop intelligent and autonomous AI applications.
  • Work with large language models (LLMs) to create applications capable of generating and understanding natural language.
  • Implement retrieval-augmented generation (RAG) strategies to improve contextual relevance and response accuracy.
  • Manage and optimize vector databases for efficient data storage, indexing, and retrieval.
  • Collaborate with cross-functional teams including engineering, product, and business stakeholders.
  • Conduct research on emerging AI/ML technologies and evaluate new tools and methodologies.
  • Document AI models, workflows, technical processes, and implementation strategies.
  • Ensure scalability, reliability, and performance of AI applications and services.

Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • 5+ years of experience in advanced Python programming with strong knowledge of data structures and algorithms.
  • Experience working within Investment Banking or Capital Markets environments.
  • Strong expertise in prompt engineering and generative AI applications.
  • Familiarity with AI agentic frameworks and intelligent automation solutions.
  • Hands‑on experience working with large language models (LLMs).
  • Knowledge of retrieval‑augmented generation (RAG) techniques and vector database technologies.
  • Strong analytical, troubleshooting, and problem‑solving skills.
  • Ability to communicate technical concepts effectively to both technical and non‑technical stakeholders.
  • Experience working collaboratively within cross‑functional teams.

Preferred Qualifications

  • Experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, or Hugging Face.
  • Familiarity with cloud platforms including AWS, Azure, or Google Cloud and their AI/ML services.
  • Knowledge of data preprocessing, data engineering, and data pipeline practices.
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Vacancy posted 9 hours ago
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