GenAI Engineer

2 days ago

Bengaluru, Karnataka, India beBeeGenaiperformer Full time ₹ 1,04,000 - ₹ 1,30,878

GenAI Expertise

  • Advanced experience with prompt tuning, re-ranking, and chunking techniques is crucial for a GenAI engineer.
  • Expertise in sourcing and optimizing outputs from various AI models enables the development of efficient and accurate solutions.
  • Strong understanding of agent frameworks and their automation capabilities allows for seamless integration with existing systems.
  • Comprehensive experience with GenAI orchestration tools ensures smooth project execution and delivery.
  • Expert knowledge of embedding generation and vector storage systems plays a vital role in building robust and scalable AI applications.
  • Advanced experience in unstructured data processing and document extraction is essential for working with diverse data sources.
  • Experience evaluating multiple models (Sonnet V2, OpenAI, Hugging Face) is necessary for selecting the most suitable AI solution.
  • Direct experience using LangChain and LlamaIndex for end-to-end GenAI pipelines demonstrates expertise in complex AI system design.

Leadership & Soft Skills

  • Mentoring capabilities for junior team members are highly valued in a team-based work environment.
  • Strong technical decision-making abilities enable effective problem-solving and decision-making.
  • Excellent communication skills with technical and non-technical stakeholders are critical for successful project collaboration.
  • Experience in cross-team collaborations fosters a culture of teamwork and mutual support.

Good to Have

  • Experience with Azure cloud services can be beneficial for scalability and reliability.
  • Knowledge of Kubernetes orchestration can enhance container management and deployment.
  • Familiarity with voice/speech generative AI projects can broaden skill sets and innovation.
  • Experience with AI coding assistants (e.g., Cursor, Windsurf etc.) can streamline code development and testing.
  • Docker containerization experience can ensure efficient and consistent deployment.
  • Working knowledge of CI/CD pipelines can improve project efficiency and quality.

Qualifications & Work Experience

  • Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field is required.
  • Experience: 7+ years of hands-on experience in developing and deploying solutions, with a proven portfolio in GenAI implementation and backend integrations, is necessary.
  • Additional: Prior mentoring or leadership experience within technical teams is highly desirable.

Skills

  • Genai
  • Langchain
  • Python
  • Rag

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