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RIA Advisory

Senior Artificial Intelligence Engineer - Python/LLM

2-4 Years
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  • Posted 9 hours ago
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Job Description

Key Responsibilities

  • Design, develop, and implement Agentic AI systems capable of autonomous decision-making and task execution.
  • Build and optimize AI/ML models leveraging LLMs, NLP, and advanced AI techniques.
  • Develop AI-driven applications using RAG (Retrieval-Augmented Generation) and agent-based frameworks.
  • Integrate LLMs into enterprise applications and workflows.
  • Monitor team performance, track deliverables, and ensure adherence to timelines and quality standards.
  • Provide technical leadership, guidance, and hands-on support to team members.
  • Conduct regular team coaching and mentoring sessions to enhance team capability and performance.
  • Collaborate with cross-functional teams including Product, Engineering, and Business stakeholders.
  • Drive best practices in AI development, model lifecycle management, and governance.
  • Identify risks, troubleshoot technical challenges, and ensure smooth project execution.

Required Skills & Qualifications

  • 2+ years of hands-on experience in AI application development, including:
  • Agentic AI systems
  • RAG (Retrieval-Augmented Generation)
  • Tools & LLM-based applications
  • Strong programming skills in Python with experience in HTTP/REST APIs.
  • Hands-on experience with AI agent frameworks such as LangChain, LangGraph, or similar.
  • Experience in LLM integration and prompt engineering.
  • Experience working with vector databases suchs as Qdrant, Chroma.
  • Exposure to Knowledge Graphs (e.g., Neo4j).
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Strong experience in ML/DL model development, including training, fine-tuning, and evaluation.
  • Proven experience in team monitoring, performance tracking, and delivery management.
  • Demonstrated ability in mentoring, coaching, and leading engineering teams.
  • Strong analytical, problem-solving, and communication skills.

(ref:hirist.tech)

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Job ID: 149076273