AI Engineer, Sales Technology

We are a leading global asset management firm with over 3,000 employees across 20 offices in 15 countries; we help millions of investors around the world pursue their financial goals.

We hire critical thinkers. People who thrive in a collaborative culture like ours where we solve real problems while building the future of finance.

You

• Are excited to be part of a vibrant engineering community that values diversity, hard work, and continuous learning.

• Love solving complex real-world business problems.

• Recognize that cross-functional collaboration is a core component of success for the team.

• Believe there are multiple ways to solve most technical problems and are willing to debate the trade-offs.

• Have become a stronger engineer by making mistakes and learning from them.

• Are a doer, someone who wants to grow their career and gain experience across technologies and business functions.

We

• Continuously invest in a high-performance and inclusive culture, in which a diversity of backgrounds, experiences and viewpoints are celebrated and valued.

• Encourage career mobility, so you can benefit from learning different functions and technologies, and we gain the benefits of your experience across teams.

• Run technology pro bono programs that help the non-profit community and give our engineering community opportunities to volunteer and participate.

• Offer education reimbursements and ongoing training in technology, communication, and diversity & inclusion.

• Embrace knowledge sharing through lunch-and-learns, demos, and technical forums.

• Consider our people to be our greatest asset-we will help you learn what PIMCO Technology has to offer so you can participate in activities that benefit your career while delivering impactful technology solutions.

We are seeking a talented and experienced AI Engineer to join our team. In this role, you will be instrumental in developing our next-generation chatbot using AI and LLM technology. You will work closely with a cross-functional team to design, build, and deploy sophisticated AI applications that understand, interpret, and respond to human language in a way that is both meaningful and relevant. The ideal candidate will have a deep understanding of full-stack technology, with a passion for developing scalable, high-performance applications. You will play a key role in the entire application lifecycle, from concept stage to delivery and post-launch support.

Our Tech Stack includes: Python, JavaScript (& based frameworks), Azure, Snowflake, Terraform, Bicep, Azure CLI, CDK, Redis, Docker, Git, Gitlab CI/CD, Database (NoSQL: CosmosDB, MongoDB, DocumentDB)

Description:

• Design and Development: Architect, design and develop advanced AI models for our LLM application, focusing on natural language understanding (NLU), natural language processing (NLP), and machine learning (ML) algorithm
• Collaboration: Work closely with product managers, UX/UI designers, and software engineers to integrate AI models into our existing apps, ensuring a seamless and intuitive user experience
• Testing: Implement rigorous testing frameworks to evaluate the performance of AI models. Continuously refine and optimize models based on feedback and performance metrics.
• Innovation: Stay abreast of the latest developments in AI, LLM, NLP, and ML. Conduct research to explore new methodologies, technologies, and tools and apply them into operations and activities
• Documentation and Knowledge Sharing: Document AI model development processes, architectures, and best practices. Share knowledge and mentor junior team members in AI technologies and methodologies
• Security: Implement responsible AI, security and data protection solutions.
• UI/UX: Optimize applications for speed and scalability

Requirements:

• Bachelor's or Master's degree in Computer Science, AI, ML, Engineering, or a related field
• 3-6 years of experience in full-stack development, with a strong focus on Python
• Experience building AI/ML applications using LLM, ML technology, using Open AI, Llama or other models
• Experience with Python web frameworks (e.g., Django, Flask)
• Solid understanding of object-oriented programming (OOP) principles
• Familiarity with database technologies (e.g. PostgreSQL, CosmosDB, MongoDB)
• Experience with cloud services (e.g., Azure, AWS)
• Proficient in front-end technologies, including JavaScript, HTML5, and CSS3
• Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes)
• Strong understanding of code versioning tools, such as Git
• Excellent problem-solving skills and attention to detail
• Strong communication and teamwork skills

Equal Employment Opportunity and Affirmative Action Statement

PIMCO recruits and hires qualified candidates without regard to race, national origin, ancestry, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender (including gender identity and expression), age, military or veteran status, disability (physical or mental), any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other basis such as medical condition, or marital status under applicable laws.

Applicants with Disabilities

PIMCO is an Equal Employment Opportunity/Affirmative Action employer. We provide reasonable accommodation for qualified individuals with disabilities, including veterans, in job application procedures. If you have any difficulty using our online system due to a disability and you would like to request an accommodation, you may contact us at 949-720-7744 and leave a message. This is a dedicated line designed exclusively to assist job seekers with disabilities to apply online. Only messages left for this purpose will be considered. A response to your request may take up to two business days.