Lead Software Developer

OPENTEXT - THE INFORMATION COMPANY

OpenText is a global leader in information management, where innovation, creativity, and collaboration are the key components of our corporate culture. As a member of our team, you will have the opportunity to partner with the most highly regarded companies in the world, tackle complex issues, and contribute to projects that shape the future of digital transformation.

AI-First. Future-Driven. Human-Centered.

At OpenText, AI is at the heart of everything we do—powering innovation, transforming work, and empowering digital knowledge workers. We are hiring talent AI can't replace to help us shape the future of information management. Join us.

Job Title: Lead Software Developer (GenAI and Agentic Systems) 

Job Location: Waterloo, ON Hybrid (Tues, Wed, Thurs in-office & Mon, Fri- WFH)

OpenText Content Aviator is an AI-powered assistant that enhances enterprise content management with generative AI and large language models. It enables conversational search, content summarization, and translation directly within OpenText platforms. By automating repetitive tasks, it boosts productivity and helps users find relevant business content faster.

Your Impact:

We are seeking a visionary and technically strong Lead Software Developer to drive the development of cutting-edge AI-powered applications. In this leadership role, you will guide a team of developers in building intelligent systems using LangChain, LangGraph, , python and Large Language Models (LLMs), with a focus on Retrieval-Augmented Generation (RAG) architectures.

You will play a key role in shaping the technical direction of the product, mentoring team members, and collaborating across disciplines to deliver scalable, high-impact AI solutions. The product will be a flagship platform in document and information management, leveraging advanced AI capabilities to transform how organizations manage and interact with their data.

What the role offers:

As a Lead Software Developer, you will:

• Provide technical leadership and mentorship to a team of developers.
• Architect and oversee the development of AI-driven applications using LangChain and LangGraph.
• Lead the design and implementation of scalable backend services.
• Drive the optimization of RAG pipelines to enhance LLM performance with external data sources.
• Collaborate with data scientists, engineers, and product managers to integrate LLMs into production systems.
• Champion best practices in code quality, performance, and maintainability.
• Stay ahead of advancements in AI, LLMs, and related technologies to inform strategic decisions.

What you need to succeed:

• 7+ years of professional software development experience, with at least 2 years in a technical leadership role.
• Strong proficiency in Python.
• Hands-on experience with LangChain and LangGraph.
• Deep understanding of LLMs, prompt engineering, and RAG techniques.
• Experience integrating vector databases (e.g., pgvector, Pinecone, Weaviate, FAISS) with LLMs.
• Proven ability to lead complex projects and mentor developers.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Excellent problem-solving skills, communication, and a collaborative mindset.

Preferred Qualifications:

• Proven track record of successfully shipping AI-powered products to market
• Hands-on experience designing and implementing production-grade RAG pipelines using LangGraph, from retrieval strategy to stateful graph orchestration
• Experience with Google Gemini, OpenAI, or open-source LLMs (e.g. LLaMA, Mistral).
• Background in NLP, knowledge graphs, or semantic search.
• Contributions to open-source AI/LLM projects.
• Familiarity with observability and monitoring tools for AI systems.

One last thing: 

OpenText is more than just a corporation, it's a global community where trust is foundational, the bar is raised, and outcomes are owned.

Join us on our mission to drive positive change through privacy, technology, and collaboration. At OpenText, we don't just have a culture; we have character.

Choose us because you want to be part of a company that embraces innovation and empowers its employees to make a difference.

#LI-KP2

OpenText's commitment to diversity and inclusion surpasses legal requirements, evident in our Equal Employment Opportunity Statement of Policy which promotes a respectful and empowering environment for employees of all backgrounds, culture, national origin, race, color, gender, gender identification, sexual orientation, family status, age, veteran status, disability, religion, or other basis protected by applicable laws.

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please contact us at Our proactive approach fosters collaboration, innovation, and personal growth, enriching OpenText's vibrant workplace.

Compensation: At OpenText, we offer a thoughtfully designed benefits package that supports your physical, emotional, and financial wellbeing. A summary of those benefits can be found on our Why Join Us page. As you move through the hiring process, we're happy to provide more details about our compensation programs, including variable and commission compensation opportunities for eligible roles, vacation entitlement, and paid time off.

Salary Range: $103,250 - $153,250; Depending on the candidate's education, experience, skills, geographical location, and alignment with internal equity and external market, actual salary may vary and be higher or lower than the range posted.

AI Usage Disclosure: As part of our commitment to transparency, we use artificial intelligence (AI) tools to assist in various stages of our recruitment process, including resume screening, candidate matching, interview scheduling, and communications. These tools are designed to improve efficiency, reduce bias, and enhance candidate experience. All decisions regarding hiring are made by qualified human professionals, and we continuously monitor our AI systems to ensure fairness and compliance with applicable regulations.