Senior AI Engineer | Omnes Group

Job description

We are looking for a Senior AI Engineer to design, build, and deploy high-quality AI-powered features. This role focuses on owning end-to-end implementation of AI systems within a product area – from prototyping to production, with a strong emphasis on reliability, iteration, and measurable impact.

Responsibilities

You will work closely with product and engineering teams to turn ambiguous problems into effective AI solutions, while contributing to best practices and raising the bar for AI development.

Key Responsibilities

End-to-End AI Feature Ownership
Design and implement AI-powered features (LLM workflows, copilots, automation flows)
Own the full lifecycle: prototyping → evaluation → production deployment → iteration
Ensure solutions are reliable, performant, and aligned with product needs

AI System Implementation
Build and optimize:
Prompt pipelines for specific use cases
Retrieval systems (embeddings, chunking, ranking)
RAG-based workflows where needed
Iterate on outputs to improve quality, accuracy, and consistency

Experimentation & Evaluation
Run structured experiments to compare approaches (prompting, retrieval, models)
Define and track key metrics for AI performance (quality, latency, cost)
Debug and improve non-deterministic system behavior

Collaboration & Contribution
Partner with product managers and designers to scope AI features
Contribute to shared patterns and reusable components
Participate in code reviews and design discussions
Support and mentor mid-level engineers where needed

Requirements

Skills & Expertise

Core AI Skills

Strong understanding of LLM capabilities and limitations

Experience with prompt engineering and structured output design

Hands-on experience with embeddings and vector search

Familiarity with RAG architectures and when to apply them

Engineering Skills

Solid backend/system design fundamentals

Experience building and deploying production-grade systems

Ability to debug complex issues, including probabilistic outputs

Comfort working with APIs, pipelines, and data flows

Product Thinking

Ability to translate user needs into effective AI solutions

Strong intuition for balancing quality, latency, and cost

Focus on delivering measurable product impact

Collaboration

Communicates clearly across engineering and product teams

Contributes to team knowledge and shared practices