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.
Your Impact
We are seeking a technically strong
Software Developer to help build cutting-edge AI-powered applications and agentic experiences. In this role, you will contribute to the development of intelligent systems using LangChain, LangGraph, Node.js, Python, and Large Language Models (LLMs), with a focus on Retrieval-Augmented Generation (RAG) architectures and agentic workflows.
You will work closely with senior developers, architects, product managers, and cross-functional teams to translate business requirements into innovative AI solutions. This is a hands-on development role where you will help design, implement, test, and support AI-powered capabilities within the Content Aviator platform.
As a member of the development team, you will contribute to the evolution of
Content Aviator as a strategic agentic platform, enabling OpenText teams and customers to build powerful low-code and custom AI solutions across the OpenText product portfolio. This platform leverages advanced AI capabilities to transform how organizations manage, automate, and interact with enterprise information.
What The Role Offers
As a
Software Developer, you will:
- Develop AI-driven applications and platform capabilities using LangChain, LangGraph, Python, and JavaScript/TypeScript.
- Contribute to the design and implementation of scalable backend services and AI-powered features.
- Participate in the development of agentic workflows and orchestration frameworks that address real-world business challenges.
- Build and optimize RAG pipelines to improve LLM performance using enterprise data sources.
- Collaborate with product managers, architects, and engineering teams to deliver AI-powered solutions.
- Assist in the evolution of the Content Aviator platform and its agentic AI capabilities.
- Integrate AI services and models into production systems while maintaining reliability, performance, and security.
- Participate in technical discussions, architecture reviews, and design decisions.
- Contribute to code quality, testing, performance optimization, and operational excellence.
- Work closely with data scientists, engineers, and product teams to deliver business value through AI innovation.
- Stay current with advancements in AI, agentic systems, LLMs, and related technologies.
What You Need To Succeed
- Professional software development experience with demonstrated delivery of production-quality solutions.
- Strong proficiency in Python and JavaScript/TypeScript.
- Hands-on experience or familiarity with LangChain and LangGraph.
- Understanding of LLMs, prompt engineering, agentic workflows, and RAG techniques.
- Experience working with vector databases such as pgvector, Pinecone, Weaviate, or FAISS.
- Ability to design, develop, test, and deploy software solutions in a collaborative team environment.
- Experience working with product managers, architects, and cross-functional teams to deliver technical solutions.
- Strong communication, problem-solving, and analytical skills.
- Familiarity with cloud platforms such as Azure, AWS, or Google Cloud.
- Experience with Docker, Kubernetes, and modern development practices.
- Passion for learning and applying emerging AI technologies to solve real-world problems.
Preferred Qualifications
- Experience developing or supporting AI-powered applications in production environments.
- Experience building RAG-based solutions using modern AI frameworks.
- Experience with Google Gemini, OpenAI, Anthropic, or open-source LLMs such as Llama and Mistral.
- Familiarity with agentic AI systems and workflow orchestration concepts.
- Background in NLP, semantic search, knowledge graphs, or information retrieval.
- Experience with observability, evaluation, and monitoring of AI systems.
- Contributions to internal platforms, accelerators, or open-source projects are considered an asset.
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 submit a ticket at Ask HR. 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. 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: $92,320.00 - $138,480.00; 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. 
