Senior Data Engineer, AI

We are looking for a Senior Data Engineer with AI to architect and build intelligent AI workflows that merge models, enterprise data, and business logic into dependable, production-ready solutions. Within this position, you will construct scalable AI deployment pipelines, embed AI functionality into enterprise systems, and partner with data scientists and business experts to deliver secure, transparent, and compliant AI behavior.
Responsibilities
Architect and build AI workflows that merge models, prompts, enterprise data, tools, and business logic
Create and sustain prompt engineering approaches, covering versioning, testing, and optimization
Deploy orchestration layers supporting multi-step reasoning, decisioning, and action execution
Embed AI functionality within enterprise systems, APIs, and user interfaces
Apply guardrails that guarantee secure, transparent, and compliant AI behavior
Construct and sustain production-grade AI deployment pipelines
Guarantee dependability, scalability, latency optimization, and cost efficiency of AI services
Deploy monitoring and observability for AI systems covering usage, performance, drift, and failures
Set up change control, versioning, rollback, and release management practices
Work closely alongside data scientists and business experts to verify model behavior and outputs
Convert experimentation outcomes into dependable production-ready solutions
Convey operational constraints and engineering considerations to stakeholders
Requirements
More than 3 years of experience working in software development
Solid engineering foundation paired with applied AI expertise
Proficiency in architecting and building AI workflows that merge models, prompts, and enterprise data
Mastery of prompt engineering approaches, covering versioning, testing, and optimization
Abilities in constructing production-grade AI deployment pipelines, MLOps, and productionization
Proficiency in monitoring and observability for AI systems, covering drift, performance, and failures
Understanding of change control, versioning, and release management practices
Ability to rapidly get up to speed on new platforms and tools
Experience with large-scale enterprise data ecosystems
English skills at B2 level or above