Senior AI Engineer

Our client is a global company specializing in digital transformation and business process management, offering services in analytics, AI, automation, and consulting. Operating in over 30 countries, they help organizations streamline processes and drive growth across industries such as finance, healthcare, insurance, and manufacturing.

We are looking for a talented and experienced AI Engineer with a strong background in Generative AI (GenAI) to join our core development team. In this role, you will drive the design, development, and deployment of intelligent features for our next-generation multi-cloud SaaS orchestration platform, powered by LLMs, Agentic AI, and GenAI capabilities. 

You will be instrumental in shaping the AI strategy, building intelligent components, and collaborating across disciplines to bring advanced AI-powered solutions to life.  

Responsibilities:   

• Lead research and exploration of emerging GenAI and Agentic AI technologies to inform product and platform evolution. 

• Design and implement robust, scalable AI/ML solutions, leveraging LLMs, RAG pipelines, fine-tuning, and prompt engineering. 

• Build and integrate AI pipelines for document intelligence, NLP, and reasoning tasks using cloud-native tools and frameworks. 

• Collaborate with architects and engineers to embed AI across core platform workflows, ensuring performance, scalability, and maintainability. 

• Contribute to model experimentation, validation, and deployment pipelines with strong emphasis on MLOps and GenAIOps practices. 

• Mentor fellow engineers on AI engineering principles and establish coding and design standards across AI modules. 

• Work with the R&D leadership to align technical initiatives with the overall product roadmap and release strategy.

Requirements:

• 5+ years of hands-on experience in product-based tech companies, with a focus on AI/ML systems. 

• Proven track record in designing and implementing GenAI-powered solutions using LLMs and transformer-based architectures. 

• Deep understanding of prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning, and LLM-based workflows. 

• Strong experience with Azure Cognitive Services. 

• Proficiency in Python or other relevant languages (e.g., TypeScript, Go), including use of AI/ML frameworks (e.g., LangChain, Hugging Face, PyTorch). 

• Familiarity with containerized environments and orchestration tools (e.g., Docker, Kubernetes). 

• Comfortable working with multi-cloud environments (Azure, AWS, or GCP). 

• Experience with Agile/Scrum development methodologies. 

• Strong communication skills and fluency in English (spoken and written).

Will be a plus: 

• Experience with building high-performance distributed systems. 

• Familiarity with agentic frameworks for multi-step reasoning or workflow automation. 

• Exposure to AI model governance, data compliance, and MLOps pipelines. 

• Background in Computer Science or related technical degree.

We Offer:

• Long-term employment with competitive compensation, based on experience.

• Remote work flexibility.

• An open, transparent, and fun work culture.

• A multi-national team and collaborative work environment.

• Continuous knowledge sharing with engaged co-workers.

• Career and professional growth opportunities.