Senior AI Engineer

We are looking for a Senior AI Engineer with strong technical expertise and business understanding to help lead the development of AI-powered solutions.

In our organization, AI initiatives move quickly from idea to implementation. We need someone who can take ownership of projects, design scalable architectures, build prototypes, and lead solutions into production.

This role is ideal for someone who combines deep technical AI knowledge with pragmatic engineering and business awareness, capable of transforming business problems into production-ready AI systems.

The successful candidate will work closely with leadership and engineering teams to design, guide, and deliver AI solutions that create real business value, particularly in Generative AI systems and agentic architectures.

• Lead the design and development of Generative AI solutions from concept to production.

• Translate business problems into AI-driven solutions that deliver measurable value.

• Define system architectures for AI applications, including agent-based systems and LLM-powered workflows.

• Mentor and guide engineering teams in AI implementation and best practices.

• Design and implement agentic AI systems and LLM-based applications.

• Build and manage multi-agent workflows using frameworks such as LangChain and LangGraph.

• Implement evaluation pipelines for AI agents and LLM applications.

• Work with fine-tuning strategies and model optimization techniques when appropriate.

• Build rapid Proofs of Concept (PoCs) to validate AI opportunities quickly.

• Lead the transition of prototypes into production-ready systems.

• Ensure AI solutions meet scalability, reliability, and observability requirements.

• Work closely with product, engineering, and business stakeholders to align AI solutions with business goals.

• Help teams understand the capabilities and limitations of modern AI technologies.

• Identify opportunities where AI can improve existing processes or unlock new value.

• Strong experience building Generative AI applications using modern LLM ecosystems.

• Deep understanding of:

• Solid software engineering background with experience designing scalable systems and architectures.

• Experience integrating LLMs with external systems, APIs, and tools.

• Strong understanding of AI system reliability, observability, and performance considerations.

• Ability to understand business needs and translate them into technical solutions.

• Experience delivering AI solutions that create measurable business impact.

Experience supporting or leading development teams in other AI/ML and data-driven projects, including:

• Machine Learning model development

• Model training and hyperparameter tuning

• Traditional AI / machine learning techniques

Strong knowledge of modern data ecosystems:

• Data pipelines

• Data warehouses

• Data lakes

• Cloud data platforms

• Data processing architectures

• Experience guiding engineering teams on AI best practices

• Experience helping teams adopt AI capabilities within existing systems

The ideal candidate is someone who:

• Can take ownership of AI initiatives and drive them forward

• Combines deep AI expertise with practical engineering

• Understands both technology and business value

• Can prototype fast but also build production-grade systems

• Enjoys helping teams grow and succeed with AI technologies