Software Engineer, GenAI Engineering (AI/ML)
Meet Our Team
As a member of one of the most innovative and fastest growing groups at Pega, you will work closely with talented engineers and product owners across the globe to build a highly scalable Software.
Picture Yourself At Pega
Pega is changing the way the world builds software. Our goal is to be the no. 1 CRM SaaS company in the world. In this role, you will design, build and deploy the GenAI services and AI agents behind Pega Infinity and the Pega AI Assistant. That includes agent tools and MCP integrations, retrieval-augmented generation (RAG) and knowledge services, AI guardrails and governance, and agent observability. You'll lead features end to end, from problem framing to production, on cloud-native services that run securely at enterprise scale on AWS, GCP and customer-hosted environments. At Pega, we actively explore and embrace emerging AI capabilities with curiosity, responsibility, and a drive for meaningful innovation. You will work in an environment where AI enabled tools are used to enhance learning, improve engineering efficiency, and support better decision making across the cloud platform. We expect engineers to apply critical thinking to all AI generated outputs—validating accuracy, quality, and relevance before applying them in production environments. We view AI maturity as a spectrum, progressing from foundational adoption toward more strategic, advocacy driven integration, and you will play an active role in that journey.
What You'll Do At Pega
You demonstrate a strong Growth Mindset—embracing curiosity, continuous learning, and adaptability in a fast-changing technology environment. You are comfortable speaking about AI with confidence and conviction, and you view AI as an enabler to improve outcomes rather than a substitute for sound engineering principles. You challenge assumptions, learn quickly from change, and apply critical thinking to validate outputs and make informed decisions. You bring a thoughtful, quality driven approach to your work and actively contribute to a culture of innovation, collaboration, and continuous improvement.
What You've Accomplished
As a member of one of the most innovative and fastest growing groups at Pega, you will work closely with talented engineers and product owners across the globe to build a highly scalable Software.
Picture Yourself At Pega
Pega is changing the way the world builds software. Our goal is to be the no. 1 CRM SaaS company in the world. In this role, you will design, build and deploy the GenAI services and AI agents behind Pega Infinity and the Pega AI Assistant. That includes agent tools and MCP integrations, retrieval-augmented generation (RAG) and knowledge services, AI guardrails and governance, and agent observability. You'll lead features end to end, from problem framing to production, on cloud-native services that run securely at enterprise scale on AWS, GCP and customer-hosted environments. At Pega, we actively explore and embrace emerging AI capabilities with curiosity, responsibility, and a drive for meaningful innovation. You will work in an environment where AI enabled tools are used to enhance learning, improve engineering efficiency, and support better decision making across the cloud platform. We expect engineers to apply critical thinking to all AI generated outputs—validating accuracy, quality, and relevance before applying them in production environments. We view AI maturity as a spectrum, progressing from foundational adoption toward more strategic, advocacy driven integration, and you will play an active role in that journey.
What You'll Do At Pega
- Develop AI-based applications and algorithms.
- Design, test, and build software components for AI applications.
- Collaborate with data scientists on algorithm development.
- Create prototypes and proofs-of-concept for new ideas.
- Create state-of-the-art harness that powers Pega Agents
- Lead model development, implementation and deployment end-to-end including. ML operations. You will be driving problem formulation, modeling approach, implementation, testing, deployment and monitoring.
- Partner with product managers to drive productization of ideas into shippable solutions
- Communicate effectively with technical and non-technical audiences
You demonstrate a strong Growth Mindset—embracing curiosity, continuous learning, and adaptability in a fast-changing technology environment. You are comfortable speaking about AI with confidence and conviction, and you view AI as an enabler to improve outcomes rather than a substitute for sound engineering principles. You challenge assumptions, learn quickly from change, and apply critical thinking to validate outputs and make informed decisions. You bring a thoughtful, quality driven approach to your work and actively contribute to a culture of innovation, collaboration, and continuous improvement.
What You've Accomplished
- Advanced degree (BE/M Tech) in a relevant field with 2-4 years of relevant experience
- Proven experience with Python and ML libraries (e.g., langchain, langraph, scikit-learn, PyTorch)
- Experience in building end-to-end machine learning solutions
- Experience using, Generative AI APIs, Models
- Proficient in collaborative development tools and practices (GitHub, CI/CD, DevOps).
- Strong communication and project leadership abilities
- Teamwork and collaboration skills
- 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.
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