{"id":2702305,"url":"https://alion.io/job/youriteams-genai-engineer-aws-terraform","title":"GenAI Engineer (AWS & Terraform)","company":{"id":4441827,"name":"YourITeams","domain":"youriteams.com","url":"https://alion.io/company/youriteams","size_band":"201-500","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Traffit","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"API Gateway","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"CrewAI","optional":false},{"name":"Docker","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"IAM","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Llama","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false}],"status":"closed","first_seen_at":"2026-07-16T09:49:11Z","employer_posted_date":"2026-07-16","last_verified_at":"2026-10-27T10:02:32Z","board_verified":false,"closed_at":"2026-10-27T10:02:32Z","days_open":103,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":102},"description":"The organization seeks a GenAI Engineer (AWS and Terraform) to lead the migration and operationalisation of generative AI applications on Amazon Web Services. The person in this role will design and implement infrastructure-as-code, deploy and configure AWS services, and integrate large language models and agent frameworks with secure, monitored cloud environments. This is a hybrid position requiring two days per week on-site from Warsaw, Gdańsk, Gdynia or Łódź.\nResponsibilities\nPlan and execute migration of GenAI applications from alternative environments to AWS, ensuring minimal disruption and validated performance.\nDesign, implement and maintain infrastructure-as-code using Terraform to provision reproducible cloud resources.\nDeploy and configure relevant AWS services such as EKS, ECS, Lambda, Bedrock, SageMaker, API Gateway, IAM and VPC to support GenAI workloads.\nContainerize applications and manage container orchestration using Docker and Kubernetes.\nDefine and maintain CI/CD pipelines with tools such as GitHub Actions, GitLab CI or Jenkins to automate build, test and deployment processes.\nImplement security best practices for cloud infrastructure, including identity and access management, network segmentation and secrets management.\nEstablish monitoring, logging and alerting (e.g., CloudWatch) to ensure operational visibility and reliability.\nIntegrate and operationalise LLMs and agent frameworks (e.g., OpenAI, Claude, Llama, Mistral; LangGraph, LangChain, CrewAI, AutoGen, Amazon Bedrock Agents) with AWS services.\nCollaborate with cross-functional teams to define requirements, validate model performance in production, and support incident response and post-deployment improvements.\nQualifications\nProven experience designing and operating AWS-based solutions, including services such as EKS/ECS, Lambda, SageMaker and Bedrock.\nPractical experience with Terraform for infrastructure-as-code and modular design.\nStrong skills in containerisation (Docker) and orchestration with Kubernetes.\nExperience building CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins or similar tools.\nProficiency in at least one programming language used for GenAI applications, such as Python or Java.\nFamiliarity with LLMs and agent frameworks and their integration patterns into cloud services.\nUnderstanding of cloud security controls, IAM, VPC networking and monitoring/observability practices.\nAbility to work in a hybrid environment and to coordinate work across remote and on-site stakeholders.\nBenefits\nHybrid working arrangement with 2 days per week on-site in Warsaw, Gdańsk, Gdynia or Łódź.\nOpportunities to work with leading cloud services and state-of-the-art generative AI frameworks and models.\nCollaborative, project-driven environment with cross-disciplinary technical teams.\nProfessional development through hands-on work with infrastructure-as-code, Kubernetes, CI/CD and model integration on AWS.\nUnique TEAL culture, relationship- and respect-driven community, non-corporate atmosphere.\nAgile approach and no bureaucracy.\nOutstanding integration trips to various places in Europe for all employees.\nActivities to support your well-being and health.\nLuxmed Gold Extended medical care and Multisport Plus 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