We are seeking skilled LLM Engineers with 5 to 8 years of experience to design, fine-tune, and implement large language model (LLM)-based solutions for an AI integration project. This role involves developing AI-driven functionalities tailored for Salesforce CRM and service ticketing platforms using Azure OpenAI and OpenAI technologies.
**Key Responsibilities:**
- Develop and deploy LLM-based solutions for AI integration into Salesforce and service ticketing systems.
- Fine-tune pre-trained language models (e.g., GPT) to align with business requirements and enhance application performance.
- Collaborate with architects and stakeholders to implement generative AI-driven solutions for workflow automation and customer support.
Ensure optimized performance and accuracy of LLMs for use cases such as ticket categorization, routing, and customer interaction.
Design and implement scalable, secure, and compliant LLM-based architectures.
Stay updated on advancements in AI/ML and LLM technologies and apply innovative techniques to solve business challenges.
Qualifications:
Bachelors or Masters degree in Computer Science, Engineering, or related fields.
5 to 8 years of experience in software development or machine learning, with strong exposure to LLMs and generative AI models.
Hands-on experience with Azure OpenAI, OpenAI APIs (e.g., GPT models), and their integration into enterprise systems.
Proficiency in programming languages such as Python, with a focus on NLP libraries and ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
Strong understanding of data preprocessing, model training, and optimization techniques for large-scale applications.
Preferred Skills:
Experience integrating LLM-based solutions with Salesforce and service ticketing platforms.
Knowledge of cloud deployment and automation practices using tools like Docker, Kubernetes, or Azure DevOps.
Familiarity with API development and integration for real-time AI functionalities.
Understanding of data governance, security, and compliance standards in AI implementations
We are seeking skilled LLM Engineers with 5 to 8 years of experience to design, fine-tune, and implement large language model (LLM)-based solutions for an AI integration project. This role involves developing AI-driven functionalities tailored for Salesforce CRM and service ticketing platforms using Azure OpenAI and OpenAI technologies.
**Key Responsibilities:**
- Develop and deploy LLM-based solutions for AI integration into Salesforce and service ticketing systems.
- Fine-tune pre-trained language models (e.g., GPT) to align with business requirements and enhance application performance.
- Collaborate with architects and stakeholders to implement generative AI-driven solutions for workflow automation and customer support.
Ensure optimized performance and accuracy of LLMs for use cases such as ticket categorization, routing, and customer interaction.
Design and implement scalable, secure, and compliant LLM-based architectures.
Stay updated on advancements in AI/ML and LLM technologies and apply innovative techniques to solve business challenges.
Qualifications:
Bachelors or Masters degree in Computer Science, Engineering, or related fields.
5 to 8 years of experience in software development or machine learning, with strong exposure to LLMs and generative AI models.
Hands-on experience with Azure OpenAI, OpenAI APIs (e.g., GPT models), and their integration into enterprise systems.
Proficiency in programming languages such as Python, with a focus on NLP libraries and ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
Strong understanding of data preprocessing, model training, and optimization techniques for large-scale applications.
Preferred Skills:
Experience integrating LLM-based solutions with Salesforce and service ticketing platforms.
Knowledge of cloud deployment and automation practices using tools like Docker, Kubernetes, or Azure DevOps.
Familiarity with API development and integration for real-time AI functionalities.
Understanding of data governance, security, and compliance standards in AI implementations
Key job details
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
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