Lead GenAI Engineer

Are you ready to lead a new wave in AI innovation? We are at the forefront of integrating AI to shape the future of various business functions. Our newly formed Artificial Intelligence team is building blueprints for the industry, delivering transformative solutions that redefine how businesses operate. If you’re passionate about AI, possess strong technical expertise, and want to be part of an ambitious team, this opportunity is for you.

• Shape the Future
  :
  Work on Business-Facing Use Cases that redefine key functions within the organization.
• Innovate and Prototype
  :
  Join a team focused on delivering emerging technology solutions and rolling them into production swiftly.
• Transformative Impact
  :
  Use AI to create new work products for Marketing, Finance, L&D, IT, HR, and more.
• Supportive Leadership
  :
  Work with a leader who empowers, trusts, and supports the team without micro-managing.

As an AI Engineer, you’ll leverage your expertise in AI engineering, natural language processing, and machine learning to design and develop innovative solutions. Collaborating closely with a team of talented Software Developers, QA Analysts, DBAs, and Data Professionals, you’ll capitalize on both structured and unstructured data to revolutionize our operations.

• Design and deploy AI-driven solutions, utilizing advanced tools and frameworks like Python, Langchain, Llama Index, and Semantic Kernel.
• Develop and fine-tune models, focusing on the application of large language models to solve complex business challenges.
• Play a pivotal role in shaping our AI roadmap, creating prototypes, and rolling out AI solutions to production.

• Educational Background
  :
  Bachelor’s Degree in Computer Science, Engineering, or a related field.
• Professional Experience
  :
  At least 5 years of experience in AI engineering or a related discipline, ideally within enterprise-level environments or leading academic institutions.
• Technical Expertise
  :
  Proficiency with AI engineering tools and technologies, including Python, Langchain, Llama Index, and Semantic Kernel.
• Adaptability
  :
  Experience working with large language models and the ability to develop AI agents is highly desirable.

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