At a glanceSummarised by Seekless from the posting.
Must have11
Bachelor's degree in software engineering, computer science, computer engineering, electrical engineering or related technical field
8+ years of progressive software development experience
Proficient with at least one of the following languages: Java, Go, Python, C#, C++
Demonstrated experience developing and shipping AI powered products and services in production environments
Experience with Generative AI technologies, including large language models (LLMs), retrieval augmented generation (RAG), embeddings, vector databases, prompt engineering, and model evaluation
Experience designing and implementing agentic AI systems utilizing planning, reasoning, tool orchestration, workflow automation, and multi agent architectures
Proficiency with modern AI frameworks and tooling
Experience integrating AI capabilities into enterprise software products with a strong focus on performance, observability, governance, security, and responsible AI practices
Familiarity with AI application lifecycle management, model deployment, monitoring, experimentation, and continuous improvement
Understanding of modern AI infrastructure, including GPU enabled cloud environments, vector databases, and distributed AI systems
Passion in finding creative solutions to problems, and pride in well crafted code
Skills
Java
Go
Python
C#
C++
Generative AI
large language models
retrieval augmented generation
embeddings
vector databases
prompt engineering
model evaluation
agentic AI systems
planning
reasoning
tool orchestration
workflow automation
multi agent architectures
AI frameworks
GPU enabled cloud environments
distributed AI systems
About the company
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
As a Principal Software Developer in our AI R&D team, you will be expected to provide mentorship, solve complex problems, and manage individual project priorities, deadlines, and deliverables.
Your Impact
You will have the opportunity to:
•
Work closely with Software Development, Data Science, and Product Management teams to design, architect, and deliver next generation AI products, leveraging Generative AI, agentic systems, and machine learning technologies to create differentiated customer experiences and business value.
•
Lead the design, development, and deployment of AI powered product capabilities, including Generative AI, large language model (LLM) applications, agentic AI systems, and intelligent automation solutions across AspenTech’s product portfolio.
•
Drive the technical architecture and implementation of AI products from concept to production, ensuring scalability, reliability, security, and measurable customer value.
•
Collaborate with Data Science, Product Management, and Engineering teams to identify opportunities to apply AI and autonomous agent technologies to solve complex industrial challenges.
•
Evaluate and adopt emerging AI technologies, frameworks, and methodologies, translating research innovations into production ready product features.
•
Provide leadership and guidance to entry level developers.
What You’ll Need
•
Bachelor’s degree in software engineering, computer science, computer engineering, electrical engineering or related technical field.
•
8+ years of progressive software development experience.
•
Proficient with at least one of the following languages: Java, Go, Python, C#, C++.
•
Demonstrated experience developing and shipping AI powered products and services in production environments.
•
Experience with Generative AI technologies, including large language models (LLMs), retrieval augmented generation (RAG), embeddings, vector databases, prompt engineering, and model evaluation.
•
Experience designing and implementing agentic AI systems utilizing planning, reasoning, tool orchestration, workflow automation, and multi agent architectures.
•
Proficiency with modern AI frameworks and tooling.
•
Experience integrating AI capabilities into enterprise software products with a strong focus on performance, observability, governance, security, and responsible AI practices.
•
Familiarity with AI application lifecycle management, model deployment, monitoring, experimentation, and continuous improvement.
•
Understanding of modern AI infrastructure, including GPU enabled cloud environments, vector databases, and distributed AI systems.
•
Passion in finding creative solutions to problems, and pride in well crafted code.