Senior AI Engineer

We are looking for aSenior 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 cantake ownership of projects, design scalable architectures, build prototypes, and lead solutions into production.

This role is ideal for someone who combinesdeep 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 todesign, guide, and deliver AI solutions that create real business value, particularly inGenerative AI systems and agentic architectures.

RESPONSABILITIES

AI Solution Leadership

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

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

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

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

Generative AI Development

• Design and implementagentic AI systems and LLM-based applications.

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

• Implementevaluation pipelines for AI agents and LLM applications.

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

Product Delivery

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

• Lead thetransition of prototypes into production-ready systems.

• Ensure AI solutions meetscalability, reliability, and observability requirements.

Cross-functional Collaboration

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

• Help teams understand thecapabilities and limitations of modern AI technologies.

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

MANDATORY REQUIREMENTS

Technical Expertise

• Strong experience buildingGenerative AI applications using modern LLM ecosystems.

• Deep understanding of:

  • Agentic AI systems

  • AI agents and multi-agent architectures

  • LangChain

  • LangGraph

  • LLM evaluation frameworks

  • Fine-tuning and model adaptation techniques

• Proven experiencebuilding AI systems that reach production.

• Strong ability todevelop rapid PoCs and iterate quickly.

Engineering Experience

• Solid software engineering background with experience designingscalable systems and architectures.

• Experience integratingLLMs with external systems, APIs, and tools.

• Strong understanding ofAI system reliability, observability, and performance considerations.

Business Understanding

• Ability to understandbusiness needs and translate them into technical solutions.

• Experience deliveringAI solutions that create measurable business impact.

NICE TO HAVE

Broader AI / Data Expertise

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

• Machine Learning model development

• Model training andhyperparameter tuning

• Traditional AI / machine learning techniques

Data Infrastructure

Strong knowledge of modern data ecosystems:

• Data pipelines

• Data warehouses

• Data lakes

• Cloud data platforms

• Data processing architectures

Leadership & Mentorship

• Experienceguiding engineering teams on AI best practices

• Experience helping teamsadopt AI capabilities within existing systems

IDEAL CANDIDATE PROFILE

The ideal candidate is someone who:

• Cantake ownership of AI initiatives and drive them forward

• Combinesdeep AI expertise with practical engineering

• Understandsboth technology and business value

• Canprototype fast but also build production-grade systems

• Enjoys helping teams grow and succeed with AI technologies