AI Engineer (Agentic AI & LLM Systems)

New

Skills

Docker LangChain OpenAI Python Pytorch Scikit-learn TensorFlow Transformers

Job Overview

We are seeking an experienced AI Engineer to join our growing AI team and contribute to the development of intelligent, agentic AI systems using cutting-edge technologies.

Responsibilities
  • Design and implement agentic AI pipelines
  • Build robust retrieval-augmented generation systems
  • Fine-tune, evaluate, and deploy large language models for task-specific applications
  • Integrate external tools and APIs into multi-agent workflows
  • Develop memory modules and build scalable cloud-native services
  • Collaborate in agile, cross-functional teams to prototype and ship ML-based features
  • Monitor and evaluate agent performance
  • Ensure secure deployment of AI systems
Requirements & Qualifications
  • 7+ years of experience in machine learning, NLP, or software engineering
  • Proficiency in Python and ML libraries such as PyTorch, TensorFlow
  • Hands-on experience with LLMs and NLP tools
  • Experience with RAG pipelines, agent frameworks, memory, and planning techniques
  • Knowledge of microservice architectures, CI/CD, and infrastructure-as-code
  • Strong collaboration and communication skills

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12 Months

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