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Intelligent Application Developer

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Job Title: AI/ML Engineer

We are seeking a seasoned professional with expertise in building intelligent applications using LLM orchestration tools.

Key Responsibilities:
  • Design, develop, and implement AI/ML models and workflows utilizing Semantic Kernel, LangChain, and LangGraph technologies.
  • Become proficient in developing LLM-based solutions integrating multiple APIs and knowledge sources.
  • Collaborate with cross-functional teams to define use cases, architecture, and technical roadmaps for large-scale projects.
  • Perform prompt engineering, fine-tune, and optimize large language models (LLMs) for efficient performance.
  • Evaluate the scalability, reliability, and efficiency of deployed AI systems.

Required Skills & Qualifications:

  • A minimum of 4–8 years of experience in AI/ML development with exposure to LLM frameworks.
  • Hands-on experience with Semantic Kernel, LangChain, and LangGraph is required.
  • Proficiency in Python programming and familiarity with common AI/ML libraries (TensorFlow, PyTorch, Scikit-learn).
  • Familiarity with APIs, vector databases, and knowledge graph integration concepts.
  • A good understanding of data preprocessing techniques, model tuning, and production deployment best practices.