Generative AI Engineer

We’re expanding our R&D team and are looking for a talented and experienced Senior AI Engineer to help build the next generation of our multi-cloud SaaS orchestration platform—powered by Generative AI, LLMs, and intelligent agents.

In this role, you’ll take ownership of designing and deploying cutting-edge AI features and infrastructure. You’ll collaborate closely with architects, engineers, and product leaders to integrate scalable, production-grade AI components that drive real business value.

Key Responsibilities:

• Lead exploration and implementation of GenAI and Agentic AI technologies.
• Design robust, cloud-native AI/ML systems leveraging LLMs, RAG pipelines, prompt engineering, and fine-tuning.
• Build and deploy AI pipelines for NLP, reasoning, and orchestration use cases.
• Collaborate across R&D teams to embed AI into core platform workflows.
• Contribute to experimentation, validation, and deployment using modern MLOps/GenAIOps practices.
• Mentor fellow engineers on AI best practices, architecture, and coding standards.
• Align technical initiatives with the broader product roadmap and business goals.

Requirements:

• 5+ years of hands-on experience in tech/product companies, focused on AI/ML systems.
• Proven track record designing and implementing GenAI solutions using LLMs and transformer models.
• Strong knowledge of prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning.
• Proficiency in Python or similar (e.g., TypeScript, Go); experience with frameworks like LangChain, Hugging Face, PyTorch.
• Experience with Azure Cognitive Services and multi-cloud environments (Azure, AWS, GCP).
• Familiarity with containerized environments and orchestration tools (Docker, Kubernetes).
• Strong communication skills in English and comfort working in Agile/Scrum teams.

Nice to Have:

• Experience with agentic frameworks for reasoning or task automation.
• Background in building distributed systems at scale.
• Exposure to AI governance, data compliance, and production-grade MLOps.
• B.Sc. or M.Sc. in Computer Science or a related field.