We are Progress (Nasdaq: PRGS) – an experienced, trusted provider of products designed with customers in mind so they can develop the applications they need, deploy where and how they want, and manage it all safely and securely.
We’re proud to have a diverse, global team where we value the individual and enrich our culture by considering varied perspectives because we believe people power progress.
We are seeking an experienced AI Engineer to join our team in developing AI-powered solutions for complex real-world uses cases, innovative projects and cutting-edge explorations. This role involves end-to-end development of AI applications, including integration with LLMs, backend and front-end development, as well as deployment expertise.
In this role you will:
Work with AI models and agents
Create and orchestrating AI agents
Prompt Engineering
Evaluate performance and quality
Build and maintain RAG workflows
Process and analyze large datasets ensuring high-quality input for embedding and fine-tuning AI models.
Deploy AI systems in the Cloud on production environments
Design and build Web APIs for seamless integration with AI solutions
Stay up to date with emerging AI trends, tools and breakthroughs, ensuring integrating relevant advancements to drive innovation.
Collaborate closely with cross-functional teams (e.g. product managers, legal, etc.) to ensure alignment of AI-driven solutions with strategic business objectives.
Your background:
Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science or equivalent professional experience
Experience with Python, JavaScript and C#
Strong foundational knowledge of LLM architecture and functionality
Familiarity with Langchain or alternative frameworks
Experience with Vector DB (Pinecone, Chroma…) for efficient storage and retrieval of vector embeddings in LLMs
Strong understanding of data processing, feature engineering, and model evaluation techniques
Experience with cloud platforms (Azure, AWS) and containerization (Docker, Kubernetes) for AI deployment.
Experience with AI Frameworks (Tensor Flow), along with designing, developing and deploying AI/ML models in real-world applications, would be an advantage.
Expertise in specialized areas such as Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning is a plus.
What we offer in return is the opportunity to experience a great company culture with wonderful colleagues to learn from and collaborate with and also to enjoy:
Compensation:
Generous remuneration package
Employee Stock Purchase Plan Enrollment
Vacation, Family, and Health
30 days paid annual vacation
An extra day off for your birthday
2 additional days off for volunteering
Premium healthcare and dental care coverage
Additional pension insurance
Well-equipped gym on-site
Co-funded Multisport card
Daycare Center for your little ones onsite
Flexible working hours and the opportunity to work from home.
Free underground parking with a designated space for bikes and electric scooters
But most importantly a great company culture with wonderful colleagues to learn from and collaborate with!
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