AWS Medior Engineer

Role Overview

We are looking for an impactful proactive AWS AI Engineer to join our AI engineering this role you will take ownership of designing building testing and deploying high-impact GenAI solutions and autonomous AI agents on AWS. Working alongside senior AI engineers and architects you will solve complex technical and business challenges communicate technical trade-offs to stakeholders and drive end-to-end value delivery using the AWS stack.

Key Responsibilities

• AI & Agent Development: Own the design and development of production-grade Generative AI applications and AI agents using Amazon Bedrock SageMaker and orchestration frameworks such as LangChain LangGraph or CrewAI.

• Model & RAG Engineering: Help design and evaluate Retrieval-Augmented Generation (RAG) pipelines prompt templates and vector search integrations.

• Machine Learning Ops: Support the end-to-end ML lifecycle on AWS including data prep model training deployment and performance monitoring.

• Cloud Infrastructure: Write basic Infrastructure as Code (Terraform AWS CDK) and assist with CI/CD pipelines for AI workloads.

• Responsible AI: Implement guardrails data privacy and security controls following AWS best practices and regulations (e.g. GDPR EU AI Act).

• Collaboration & Communication: Collaborate cross-functionally with data engineers platform teams and clients. Communicate technical architectures trade-offs and solutions clearly to technical and non-technical stakeholders.

Qualifications :

Qualifications

• Education: Bachelors or Masters degree in Computer Science AI/Data Science Software Engineering or a related field.

• Experience: 2 - 3 years of professional experience in cloud software engineering (preferably AWS) and Python development with a proven track record of solving real-world business problems.

• AI/ML Fundamentals: Solid understanding of core GenAI concepts (LLMs RAG prompt engineering vector databases) and traditional machine learning.

• AWS Familiarity: Foundational knowledge of AWS core services (S3 Lambda IAM API Gateway) and AWS AI services (Bedrock SageMaker Bedrock Agentcore).

• Languages: Fluent in English and Dutch (French is a plus).

• Problem-Solving & Ownership: Strong analytical mindset with a passion for problem-solving taking initiative and taking full ownership of project deliverables from concept to production.

Nice to Have

• AWS Certifications (e.g. AWS Certified Cloud Practitioner AI Practitioner or Solutions Architect Associate).

• Experience with vector databases (OpenSearch pgvector) or agent frameworks.

• Personal projects or open-source contributions demonstrating AI applications.

Additional Information :

Why choose us

• Impact: A key role in a fast-growing ambitious international tech consultancy.
• Culture: A collaborative dynamic and genuinely tech-savvy team environment.
• Growth: Continuous learning opportunities and a clear career path.
• Package: A competitive salary package with a company car (or mobility budget) and premium benefits.
• Work-Life Balance: We believe in a healthy work-life balance ensuring that you have time to unwind pursue your hobbies and spend quality time with loved ones

At Devoteam we combine strong values respect frankness ambition entrepreneurship & collaboration with a fun environment that empowers you to innovate and succeed.

Remote Work :

No

Employment Type :

Full-time