Job Description
The driving force behind our success has always been the people of AspenTech. What drives us, is our aspiration, our desire and ambition to keep pushing the envelope, overcoming any hurdle, challenging the status quo to continually find a better way. You will experience these qualities of passion, pride and aspiration in many ways — from a rich set of career development programs to support of community service projects to social events that foster fun and relationship building across our global community.
The Role
The ideal candidate will bring strong expertise in full-stack development, AI technologies (LLMs/GenAI/Vision AI), and modern software engineering practices to design and develop scalable, intuitive, and high-performance tools. The focus will be on creating intelligent, user-centric solutions that enhance automation, improve data conversion accuracy, and support operational efficiency and decision-making.
Your Impact
Design and build end-to-end applications (backend + frontend) from problem statement to deployment.
Develop AI-enabled solutions leveraging LLMs, Vision AI, and GenAI.
Build scalable backends using Python and modern data architectures.
Develop intuitive UIs using React for better user experience.
Design and implement APIs (REST) and work with tools like Postman & Swagger.
Work with MongoDB / NoSQL databases for flexible data handling.
Automate workflows and improve efficiency in conversion and validation processes.
Collaborate with teams to translate use cases into technical solutions.
Focus on problem-solving, system design, and innovation, not just coding.
What You'll Need
Strong programming skills in Python
3–5 years of experience in modern full-stack web application development
Hands-on experience in React (Frontend Development)
Working knowledge of MongoDB / NoSQL databases
Experience with API development, Postman, Swagger
Understanding of software design principles & system design
Strong interest or experience in:
LLMs / GenAI / Prompt Engineering
Vision AI / intelligent automation
Ability to apply AI in real-world use cases, not just theoretical understanding
Knowledge of SCADA / industrial systems
Experience with data parsing (JSON, XML, CSV, text)
Familiarity with DevOps (Git, CI/CD, Docker)
Exposure to data visualization tools/libraries
Problem solver & critical thinker
Ability to design solutions from scratch based on use cases
Not a traditional coder — should be creative, proactive, and ownership-driven
Comfortable working in ambiguity and fast-paced environments
Work on high-impact, real-world engineering problems
Opportunity to build AI-first solutions in industrial systems
Be part of a team that values innovation, ownership, and growth
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