Updated 18h ago

Senior AI Engineer Consultant at Devoteam · AI Job Signal

Company Description

Tech for People Unlocks the Future

At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.
With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.

Devoteam Culture & Values:
True innovation is born from a powerful culture, fused with meaningful values.

Culture:

Fair and courageous
Everyone is treated fairly – this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.

Ambition and results
Ambition is nurtured at every step – this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.

Learning and innovating
Curiosity and learning are at our core – this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.

Caring and sharing
A caring attitude is infused into our culture – this encourages sharing. We believe in the power of teams, we promote support and collaboration.
At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,

Values:

1. Respect
2. Frankness
3. Passion

Job Description

Key Responsibilities:

Build enterprise-grade LLM applications using techniques such as RAG, tool calling, structured generation, prompt engineering, and agentic workflows.
Implement and optimize LLM inference, including model serving, quantization, caching, batching, and GPU utilization where relevant.
Develop LLM evaluation frameworks covering accuracy, relevance, hallucination, safety, latency, and cost.
Work with open-source and commercial foundation models and assess their suitability for specific use cases.
Build reusable components for enterprise AI applications, including knowledge retrieval, model gateways, evaluation pipelines, and agent orchestration.

Qualifications

Required Qualifications & Skills:

Deploy AI/ML workloads to cloud, on-premise, and hybrid environments.
Work with Docker, Kubernetes, GPU infrastructure, and cloud AI/ML services.
Implement model versioning, experiment tracking, monitoring, logging, and automated deployment pipelines.
Optimize AI workloads for scalability, reliability, latency, and cost.
Troubleshoot production AI systems and continuously improve system performance

Education:

Bachelor's degree in computer science, Software Engineering, Computer Information Systems (CIS), AI and Data.

Professional Experience