About the Position

We are seeking a Senior AI Engineer with expertise in Generative AI and multi-agent systems to lead 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.

Responsibilities

AI Solution Leadership

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.

Generative AI Development

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.

Product Delivery

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.

Cross-functional Collaboration

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.

Requirements

Technical Expertise

Strong experience building Generative 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 experience building AI systems that reach production.
Strong ability to develop rapid PoCs and iterate quickly.

Engineering Experience

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.

Business Understanding

Ability to understand business needs and translate them into technical solutions.
Experience delivering AI solutions that create measurable business impact.

Nice to Have

Broader AI / Data Expertise

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

Data Infrastructure

Strong knowledge of modern data ecosystems:

Data pipelines
Data warehouses
Data lakes
Cloud data platforms
Data processing architectures

Leadership & Mentorship

Experience guiding engineering teams on AI best practices
Experience helping teams adopt AI capabilities within existing systems

We Offer

Competitive salary
Opportunity to work on cutting-edge AI projects
Collaborative and innovative work environment
Professional development opportunities

About the Company

We are a forward-thinking company at the forefront of AI innovation, dedicated to creating impactful AI solutions that drive business value.

Apply Now

Apply here.

evozon

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Senior AI Engineer

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