AI Engineer

5 - 8 years

10 - 14 Lacs

Posted:21 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • An experienced AI Agent Engineer who can lead the design, development, and deployment of intelligent AI agents for enterprise use cases. The ideal candidate will have a strong foundation in machine learning, natural language processing (NLP), and multi-agent orchestration, along with practical experience building solutions using generative AI frameworks.
  • Design, build, train, test, and optimize machine learning algorithms for various applications like natural language processing (NLP), computer vision, and predictive analytics.
  • Create and manage the infrastructure for AI development and deployment, including data transformation and automation for data science teams.
  • Deploy AI solutions into production, often using cloud platforms, and transform models into APIs for integration with other applications.
  • Analyze large datasets to extract meaningful insights and patterns that
  • guide model development and organizational decision-making.
  • Work with data scientists, software engineers, product managers, and other stakeholders to develop AI strategies and ensure successful implementation.
  • Ensure AI systems are fair, transparent, and free from bias by adhering to ethical AI principles and practices during development and deployment.
  • Monitor the performance of deployed models, troubleshoot issues, and perform maintenance to ensure they remain effective.

Required qualifications to be successful in this role:


Must-Have Skills:

  • Strong hands-on experience with:LLMs: OpenAI, Anthropic, Meta, Cohere, etc.
  • Agent frameworks: LangChain, CrewAI, AutoGPT, AutoGen, Semantic Kernel, etc.
  • Orchestration: Python, FastAPI, Redis, Celery
  • NLP: Transformers (HuggingFace), spaCy, prompt engineering
  • Databases: PostgreSQL, MongoDB, Pinecone, Weaviate, FAISS
  • Good understanding of memory, planning, tool use, and retrieval-augmented generation (RAG).
  • Familiarity with MLOps, CI/CD, and model monitoring.
  • Clear communication skills and ability to work in agile, cross-functional teams.
  • Good-to-Have Skills:
  • Familiarity with platforms like AWS, Azure, and Google Cloud is important for deploying and scaling AI solutions.
  • CGI is an equal opportunity employer. In addition, CGI is committed to providing accommodation for people with disabilities in accordance with provincial legislation. Please let us know if you require reasonable accommodation due to a disability during any aspect of the recruitment process and we will work with you to address your needs.

Skills:
  • Artificial Intelligence
  • Database

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CGI

Information Technology and Consulting

Montreal

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