AI Engineer - Remote

Overview

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 use 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 Short

• Work with AI models and agents
• Create and orchestrate 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.

Requirements

• 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.

Benefits

• Generous remuneration package
• Employee Stock Purchase Plan Enrollment
• 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!

Translated from Bulgarian