{"id":1674657,"url":"https://alion.io/job/devoteam-aws-medior-engineer","title":"AWS Medior Engineer","company":{"id":6640,"name":"Devoteam","domain":"devoteam.com","url":"https://alion.io/company/devoteam","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":78,"open_postings":601,"ghost_share":0.363,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":52,"computed_at":"2026-10-12T06:55:09Z"}},"role":"DevOps","role_family":"DevOps","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Machelen, Belgium"],"countries":["BE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Bedrock AgentCore","optional":false},{"name":"AWS CDK","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"CrewAI","optional":false},{"name":"EU AI Act","optional":false},{"name":"GCP","optional":false},{"name":"GDPR","optional":false},{"name":"IAM","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"ServiceNow","optional":false},{"name":"Terraform","optional":false},{"name":"OpenSearch","optional":true},{"name":"pgvector","optional":true},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-10-01T09:52:47Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-12T19:27:23Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":10},"description":"About Devoteam\nDevoteam is a leading consulting firm focused on digital transformation. We help our clients leverage technology to achieve their business goals. Our longstanding partnerships with leaders like AWS, Google Cloud, Microsoft, and ServiceNow amplify our capabilities, allowing us to deliver top-tier expertise and award-winning services.\nFor 30 years, we have always been on the next tech wave. Devoteam has guided organizations through the Internet and cloud. The next revolution? AI.\nWith 11,000 tech natives working in 25+ countries, we bring you highly skilled IT experts across Europe\nAt Devoteam, tech is in our DNA, and it’s the people we empower with tech. Now, with responsible AI, we’re ready to unlock a future where technology drives positive change.\n Role Overview\nWe are looking for an impactful, proactive AWS AI Engineer t o join our AI engineering team. In 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.\nKey Responsibilities\nAI & 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.\n\nModel & RAG Engineering: Help design and evaluate Retrieval-Augmented Generation (RAG) pipelines, prompt templates, and vector search integrations.\n\nMachine Learning Ops: Support the end-to-end ML lifecycle on AWS, including data prep, model training, deployment, and performance monitoring.\n\nCloud Infrastructure: Write basic Infrastructure as Code (Terraform, AWS CDK) and assist with CI/CD pipelines for AI workloads.\n\nResponsible AI: Implement guardrails, data privacy, and security controls following AWS best practices and regulations (e.g., GDPR, EU AI Act).\n\nCollaboration & 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.\n\n Qualifications\nEducation: Bachelor’s or Master’s degree in Computer Science, AI/Data Science, Software Engineering, or a related field.\n\nExperience: 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.\n\nAI/ML Fundamentals: Solid understanding of core GenAI concepts (LLMs, RAG, prompt engineering, vector databases) and traditional machine learning.\n\nAWS Familiarity: Foundational knowledge of AWS core services (S3, Lambda, IAM, API Gateway) and AWS AI services (Bedrock, SageMaker, Bedrock Agentcore).\n\nLanguages: Fluent in English and Dutch (French is a plus).\n\nProblem-Solving & Ownership: Strong analytical mindset with a passion for problem-solving, taking initiative, and taking full ownership of project deliverables from concept to production.\n\nNice to Have\nAWS Certifications (e.g., AWS Certified Cloud Practitioner, AI Practitioner, or Solutions Architect Associate).\n\nExperience with v ector databases (OpenSearch, pgvector) or agent frameworks.\n\nPersonal projects or open-source contributions demonstrating AI applications.\n\n Why choose us?\nImpact: A key role in a fast-growing, ambitious international tech consultancy.\nCulture: A collaborative, dynamic, and genuinely tech-savvy team environment.\nGrowth: Continuous learning opportunities and a clear career path.\n Package: A competitive salary package with a company car (or mobility budget), and premium benefits.\n 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\nAt Devoteam, we combine strong values - 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