Senior Software Engineer, RAG (22761) na Pegasystems
Pegasystems · Waltham, Estados Unidos Da América · Onsite
- Senior
- Escritório em Waltham
Career Opportunities: Senior Software Engineer, RAG (22761)Requisition ID 22761 - Posted - United States - Virginia
Job ID: 22761
Meet Our Team:
We are a multi-disciplinary and multicultural team focused on building CRM solutions used by some of the largest companies in the world. You will bring your AI and RAG experience to help support document understanding, workflow automation and enterprise search.
This role is based out of our Waltham, Massachusetts office.
Picture Yourself at Pega:
By joining this team, you will help build a state-of-the-art RAG solution that will be used to power industry-leading Knowledge management and Customer Service solutions. This will be integrated into various components like Chat and Voice bots and Customer Service Representative Desktops.
What You'll Do at Pega:
- Improve and evolve the existing Retrieval-Augmented Generation (RAG) architecture to enhance performance, scalability, and reliability.
- Refine chunking strategies (size-based, title-based, semantic) to optimize document segmentation for better retrieval and generation.
- Fine-tune LLMs and optimize prompts for domain-specific tasks using the current system as a foundation.
- Implement grounding and citation techniques to ensure traceability of generated content.
- Partner with ML engineers, product managers, and domain experts to align technical improvements with business goals.
- Contribute to internal research initiatives and represent the team at conferences and industry events.
Who You Are:
- You bring deep expertise in enhancing AI systems, with a focus on RAG pipelines and LLM integration.
- You bring deep experience with vector databases (e.g. pgVector) and semantic search.
- Are fluent in Python and ML Frameworks, and demonstrate software engineering excellence through clean, maintainable, and scalable code.
- You possess strong understanding of chunking strategies, embeddings, and hybrid search techniques.
- You have Familiarity with prompt engineering and LLM fine-tuning (e.g., GPT, Claude).
- Possess strong architectural thinking and experience in designing ML pipelines that operate at scale and integrate into cloud-based platforms
- Actively collaborate with product managers, architects, and other stakeholders to shape strategy and influence technical direction.
- Stay current with academic research and industry trends and are skilled at bringing those insights into practical implementation.
- Communicate with clarity, influence across disciplines, and lead by example through hands-on contributions and thought leadership.
Pega Offers You:
Gartner Analyst acclaimed technology leadership across our categories of products
Continuous learning and development opportunities
An innovative, inclusive, agile, flexible, and fun work environment
Competitive global benefits program inclusive of pay + bonus incentive, employee equity in the company
LI-KH2
Additional Information
Base salary range for this role is 125,500 - 187,600 USD annually. This role may also be eligible for annual bonus OR commission, as well as benefits and other incentives.
The final compensation will be determined during the offer process based on the candidate's education, experience, skills, and qualifications, as well as market conditions and may vary from the posted range. We will share an information on benefits, bonus/commission, and other pay components for this role at the relevant recruitment stage.
AI in Action – Pega embraces the power of artificial intelligence. We encourage all employees to actively engage with AI technologies and continually explore ways to responsibly integrate AI into our products and processes.
Culture – At Pegasystems, we foster an environment where people feel valued and empowered to contribute their best. With global clients across industries and regions, we know our success depends on the unique perspectives, experiences, and talents of our people. Ours is a workplace where everyone can grow, collaborate, and deliver meaningful outcomes.
We encourage candidates from all backgrounds and experiences and focus on the core competencies and mindset needed to thrive in a role.
As an Equal Opportunity employer, Pegasystems will not discriminate in its employment practices due to an applicant's race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, veteran or disability status, or any other category protected by law.
Export Compliance – For positions requiring access to technical data subject to export control regulations such as this, Pegasystems may need to obtain export license approval from the U.S. Government and EU Authorities for certain individuals.
Accommodations – If you require reasonable accommodations under the Americans with Disabilities Act (US only) or comparable regional regulations in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us here or contact (US only) 1-888-PEGA-NOW and/or 225 Wyman Street Waltham, MA 02451 ATTN: Benefits.
Labor Condition Applications
GDPR Candidate Privacy Notice
Pegasystems Limited UK Gender Pay Gap Statement
EEO/AA Policy Statement
Your Employee Rights Under the Family and Medical Leave Act
E-Verify Notice
Employee Polygraph Protection Act Rights
Job ID: 22761
Meet Our Team:
We are a multi-disciplinary and multicultural team focused on building CRM solutions used by some of the largest companies in the world. You will bring your AI and RAG experience to help support document understanding, workflow automation and enterprise search.
This role is based out of our Waltham, Massachusetts office.
Picture Yourself at Pega:
By joining this team, you will help build a state-of-the-art RAG solution that will be used to power industry-leading Knowledge management and Customer Service solutions. This will be integrated into various components like Chat and Voice bots and Customer Service Representative Desktops.
What You'll Do at Pega:
- Improve and evolve the existing Retrieval-Augmented Generation (RAG) architecture to enhance performance, scalability, and reliability.
- Refine chunking strategies (size-based, title-based, semantic) to optimize document segmentation for better retrieval and generation.
- Fine-tune LLMs and optimize prompts for domain-specific tasks using the current system as a foundation.
- Implement grounding and citation techniques to ensure traceability of generated content.
- Partner with ML engineers, product managers, and domain experts to align technical improvements with business goals.
- Contribute to internal research initiatives and represent the team at conferences and industry events.
Who You Are:
- You bring deep expertise in enhancing AI systems, with a focus on RAG pipelines and LLM integration.
- You bring deep experience with vector databases (e.g. pgVector) and semantic search.
- Are fluent in Python and ML Frameworks, and demonstrate software engineering excellence through clean, maintainable, and scalable code.
- You possess strong understanding of chunking strategies, embeddings, and hybrid search techniques.
- You have Familiarity with prompt engineering and LLM fine-tuning (e.g., GPT, Claude).
- Possess strong architectural thinking and experience in designing ML pipelines that operate at scale and integrate into cloud-based platforms
- Actively collaborate with product managers, architects, and other stakeholders to shape strategy and influence technical direction.
- Stay current with academic research and industry trends and are skilled at bringing those insights into practical implementation.
- Communicate with clarity, influence across disciplines, and lead by example through hands-on contributions and thought leadership.
Pega Offers You:
Gartner Analyst acclaimed technology leadership across our categories of products
Continuous learning and development opportunities
An innovative, inclusive, agile, flexible, and fun work environment
Competitive global benefits program inclusive of pay + bonus incentive, employee equity in the company
LI-KH2
Additional Information
Base salary range for this role is 125,500 - 187,600 USD annually. This role may also be eligible for annual bonus OR commission, as well as benefits and other incentives.
The final compensation will be determined during the offer process based on the candidate's education, experience, skills, and qualifications, as well as market conditions and may vary from the posted range. We will share an information on benefits, bonus/commission, and other pay components for this role at the relevant recruitment stage.
AI in Action – Pega embraces the power of artificial intelligence. We encourage all employees to actively engage with AI technologies and continually explore ways to responsibly integrate AI into our products and processes.
Culture – At Pegasystems, we foster an environment where people feel valued and empowered to contribute their best. With global clients across industries and regions, we know our success depends on the unique perspectives, experiences, and talents of our people. Ours is a workplace where everyone can grow, collaborate, and deliver meaningful outcomes.
We encourage candidates from all backgrounds and experiences and focus on the core competencies and mindset needed to thrive in a role.
As an Equal Opportunity employer, Pegasystems will not discriminate in its employment practices due to an applicant's race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, veteran or disability status, or any other category protected by law.
Export Compliance – For positions requiring access to technical data subject to export control regulations such as this, Pegasystems may need to obtain export license approval from the U.S. Government and EU Authorities for certain individuals.
Accommodations – If you require reasonable accommodations under the Americans with Disabilities Act (US only) or comparable regional regulations in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us here or contact (US only) 1-888-PEGA-NOW and/or 225 Wyman Street Waltham, MA 02451 ATTN: Benefits.
Labor Condition Applications
GDPR Candidate Privacy Notice
Pegasystems Limited UK Gender Pay Gap Statement
EEO/AA Policy Statement
Your Employee Rights Under the Family and Medical Leave Act
E-Verify Notice
Employee Polygraph Protection Act Rights
Job ID: 22761
Meet Our Team:
We are a multi-disciplinary and multicultural team focused on building CRM solutions used by some of the largest companies in the world. You will bring your AI and RAG experience to help support document understanding, workflow automation and enterprise search.
This role is based out of our Waltham, Massachusetts office.
Picture Yourself at Pega:
By joining this team, you will help build a state-of-the-art RAG solution that will be used to power industry-leading Knowledge management and Customer Service solutions. This will be integrated into various components like Chat and Voice bots and Customer Service Representative Desktops.
What You'll Do at Pega:
- Improve and evolve the existing Retrieval-Augmented Generation (RAG) architecture to enhance performance, scalability, and reliability.
- Refine chunking strategies (size-based, title-based, semantic) to optimize document segmentation for better retrieval and generation.
- Fine-tune LLMs and optimize prompts for domain-specific tasks using the current system as a foundation.
- Implement grounding and citation techniques to ensure traceability of generated content.
- Partner with ML engineers, product managers, and domain experts to align technical improvements with business goals.
- Contribute to internal research initiatives and represent the team at conferences and industry events.
Who You Are:
- You bring deep expertise in enhancing AI systems, with a focus on RAG pipelines and LLM integration.
- You bring deep experience with vector databases (e.g. pgVector) and semantic search.
- Are fluent in Python and ML Frameworks, and demonstrate software engineering excellence through clean, maintainable, and scalable code.
- You possess strong understanding of chunking strategies, embeddings, and hybrid search techniques.
- You have Familiarity with prompt engineering and LLM fine-tuning (e.g., GPT, Claude).
- Possess strong architectural thinking and experience in designing ML pipelines that operate at scale and integrate into cloud-based platforms
- Actively collaborate with product managers, architects, and other stakeholders to shape strategy and influence technical direction.
- Stay current with academic research and industry trends and are skilled at bringing those insights into practical implementation.
- Communicate with clarity, influence across disciplines, and lead by example through hands-on contributions and thought leadership.
Pega Offers You:
Gartner Analyst acclaimed technology leadership across our categories of products
Continuous learning and development opportunities
An innovative, inclusive, agile, flexible, and fun work environment
Competitive global benefits program inclusive of pay + bonus incentive, employee equity in the company
LI-KH2
Additional Information
Base salary range for this role is 125,500 - 187,600 USD annually. This role may also be eligible for annual bonus OR commission, as well as benefits and other incentives.
The final compensation will be determined during the offer process based on the candidate's education, experience, skills, and qualifications, as well as market conditions and may vary from the posted range. We will share an information on benefits, bonus/commission, and other pay components for this role at the relevant recruitment stage.
AI in Action – Pega embraces the power of artificial intelligence. We encourage all employees to actively engage with AI technologies and continually explore ways to responsibly integrate AI into our products and processes.
Culture – At Pegasystems, we foster an environment where people feel valued and empowered to contribute their best. With global clients across industries and regions, we know our success depends on the unique perspectives, experiences, and talents of our people. Ours is a workplace where everyone can grow, collaborate, and deliver meaningful outcomes.
We encourage candidates from all backgrounds and experiences and focus on the core competencies and mindset needed to thrive in a role.
As an Equal Opportunity employer, Pegasystems will not discriminate in its employment practices due to an applicant's race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, veteran or disability status, or any other category protected by law.
Export Compliance – For positions requiring access to technical data subject to export control regulations such as this, Pegasystems may need to obtain export license approval from the U.S. Government and EU Authorities for certain individuals.
Accommodations – If you require reasonable accommodations under the Americans with Disabilities Act (US only) or comparable regional regulations in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us here or contact (US only) 1-888-PEGA-NOW and/or 225 Wyman Street Waltham, MA 02451 ATTN: Benefits.
Labor Condition Applications
GDPR Candidate Privacy Notice
Pegasystems Limited UK Gender Pay Gap Statement
EEO/AA Policy Statement
Your Employee Rights Under the Family and Medical Leave Act
E-Verify Notice
Employee Polygraph Protection Act Rights
Job ID: 22761
Meet Our Team:
We are a multi-disciplinary and multicultural team focused on building CRM solutions used by some of the largest companies in the world. You will bring your AI and RAG experience to help support document understanding, workflow automation and enterprise search.
This role is based out of our Waltham, Massachusetts office.
Picture Yourself at Pega:
By joining this team, you will help build a state-of-the-art RAG solution that will be used to power industry-leading Knowledge management and Customer Service solutions. This will be integrated into various components like Chat and Voice bots and Customer Service Representative Desktops.
What You'll Do at Pega:
- Improve and evolve the existing Retrieval-Augmented Generation (RAG) architecture to enhance performance, scalability, and reliability.
- Refine chunking strategies (size-based, title-based, semantic) to optimize document segmentation for better retrieval and generation.
- Fine-tune LLMs and optimize prompts for domain-specific tasks using the current system as a foundation.
- Implement grounding and citation techniques to ensure traceability of generated content.
- Partner with ML engineers, product managers, and domain experts to align technical improvements with business goals.
- Contribute to internal research initiatives and represent the team at conferences and industry events.
Who You Are:
- You bring deep expertise in enhancing AI systems, with a focus on RAG pipelines and LLM integration.
- You bring deep experience with vector databases (e.g. pgVector) and semantic search.
- Are fluent in Python and ML Frameworks, and demonstrate software engineering excellence through clean, maintainable, and scalable code.
- You possess strong understanding of chunking strategies, embeddings, and hybrid search techniques.
- You have Familiarity with prompt engineering and LLM fine-tuning (e.g., GPT, Claude).
- Possess strong architectural thinking and experience in designing ML pipelines that operate at scale and integrate into cloud-based platforms
- Actively collaborate with product managers, architects, and other stakeholders to shape strategy and influence technical direction.
- Stay current with academic research and industry trends and are skilled at bringing those insights into practical implementation.
- Communicate with clarity, influence across disciplines, and lead by example through hands-on contributions and thought leadership.
Pega Offers You:
Gartner Analyst acclaimed technology leadership across our categories of products
Continuous learning and development opportunities
An innovative, inclusive, agile, flexible, and fun work environment
Competitive global benefits program inclusive of pay + bonus incentive, employee equity in the company
LI-KH2
Additional Information
Base salary range for this role is 125,500 - 187,600 USD annually. This role may also be eligible for annual bonus OR commission, as well as benefits and other incentives.
The final compensation will be determined during the offer process based on the candidate's education, experience, skills, and qualifications, as well as market conditions and may vary from the posted range. We will share an information on benefits, bonus/commission, and other pay components for this role at the relevant recruitment stage.
AI in Action – Pega embraces the power of artificial intelligence. We encourage all employees to actively engage with AI technologies and continually explore ways to responsibly integrate AI into our products and processes.
Culture – At Pegasystems, we foster an environment where people feel valued and empowered to contribute their best. With global clients across industries and regions, we know our success depends on the unique perspectives, experiences, and talents of our people. Ours is a workplace where everyone can grow, collaborate, and deliver meaningful outcomes.
We encourage candidates from all backgrounds and experiences and focus on the core competencies and mindset needed to thrive in a role.
As an Equal Opportunity employer, Pegasystems will not discriminate in its employment practices due to an applicant's race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, veteran or disability status, or any other category protected by law.
Export Compliance – For positions requiring access to technical data subject to export control regulations such as this, Pegasystems may need to obtain export license approval from the U.S. Government and EU Authorities for certain individuals.
Accommodations – If you require reasonable accommodations under the Americans with Disabilities Act (US only) or comparable regional regulations in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us here or contact (US only) 1-888-PEGA-NOW and/or 225 Wyman Street Waltham, MA 02451 ATTN: Benefits.
Labor Condition Applications
GDPR Candidate Privacy Notice
Pegasystems Limited UK Gender Pay Gap Statement
EEO/AA Policy Statement
Your Employee Rights Under the Family and Medical Leave Act
E-Verify Notice
Employee Polygraph Protection Act Rights
