Chief Architect of Artificial Intelligence

5 days ago

Kolkata Delhi, India beBeeGenerativeai Full time US$ 1,50,000 - US$ 2,00,000
AI Senior Engineer - Generative AI Solutions

We are seeking a talented individual with expertise in Generative AI to develop and implement innovative AI solutions for clients. This role will focus on the technical implementation of GenAI solutions, working closely with AI Tech Leads and the AI Engineering Center of Excellence to deliver high-quality applications that solve complex business problems.

Primary Responsibilities:
  • Design and develop Generative AI solutions using industry-standard frameworks, tools, and best practices.
  • Implement core components of GenAI applications, including prompt engineering, retrieval systems, and application integration.
  • Build and optimize RAG (Retrieval Augmented Generation) implementations for enterprise use cases.
  • Create reusable components and libraries to accelerate GenAI development across projects.
  • Conduct code reviews and ensure adherence to coding standards and architectural guidelines.
  • Troubleshoot and resolve technical issues throughout the development lifecycle.
  • Collaborate with data engineers and MLOps specialists to integrate solutions into production environments.
  • Document technical implementations, architectures, and development processes.
  • Participate in technical discussions with clients to gather requirements and provide implementation insights.
Required Qualifications:
  • 5+ years of software development experience with at least 2+ years focused on AI/ML technologies.
  • Strong programming skills in languages commonly used for AI development (Python).
  • Hands-on experience with GenAI technologies including LLMs, transformer models, and embedding techniques.
  • Experience with at least one major AI platform or framework (e.g., OpenAI, Hugging Face, Azure OpenAI, AWS Bedrock).
  • Knowledge of vector databases and similarity search algorithms for RAG implementations.
  • Understanding of software development best practices, including version control, testing, and CI/CD.
  • Experience building APIs and integrating with third-party services and enterprise systems.
  • Ability to work in an agile development environment with cross-functional teams.
  • Strong problem-solving skills and attention to detail.
Success Factors:
  • Strong technical curiosity and willingness to explore new GenAI capabilities.
  • Balance between innovation and practical implementation of solutions.
  • Effective communication of technical concepts to various stakeholders.
  • Ability to work independently while collaborating effectively with team members.
  • Commitment to delivering high-quality code and robust solutions.
  • Adaptability to rapidly evolving GenAI technologies and methodologies.

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