{"id":1337921,"url":"https://alion.io/job/teamlyzer-ai-engineer-aws","title":"AI Engineer (AWS)","company":{"id":701663,"name":"Teamlyzer","domain":"teamlyzer.com","url":"https://alion.io/company/teamlyzer","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":"teamlyzer.com","ats_vendor":"Schema","truth_index":{"grade":"B","score":76,"open_postings":20,"ghost_share":0,"stale_share":0.95,"repost_share":0,"time_to_fill_p50_days":31,"computed_at":"2026-09-28T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":60000,"max":70000,"currency":"EUR","period":"year","gross":null,"usd_annual":79813},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Strands Agents","optional":false},{"name":"Boto3","optional":false},{"name":"CI/CD","optional":false},{"name":"FinOps","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenSearch","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false}],"status":"live","first_seen_at":"2026-09-24T00:00:00Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-24T00:00:00Z","board_verified":false,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Sobre a vaga\nAs an AI / GenAI Engineer, you will help organisations transform complexity into measurable outcomes by combining technology, data, intelligence, and human decision-making. This role is both technical and consultative, perfect for someone who can combine hands-on development, solution design, and delivery of AI-powered solutions.\nO que vais fazer\nDesign, develop and deploy Generative AI solutions using AWS AI services and modern LLM frameworks\nBuild and optimise RAG (Retrieval Augmented Generation) pipelines, including chunking strategies, hybrid retrieval approaches and metadata filtering\nDevelop AI applications using Python and AWS SDK (Boto3) to integrate with cloud-native services\nImplement and manage Amazon OpenSearch for semantic search and knowledge retrieval use cases\nCreate and maintain Amazon Bedrock Knowledge Bases for enterprise AI solutions\nDesign and evaluate Agentic AI architectures, including AI agents, orchestration frameworks and autonomous workflows\nApply prompt engineering best practices and implement LLM-as-a-Judge evaluation frameworks to measure model quality and performance\nContribute to LLM FinOps, including model routing strategies, inference optimisation and cost management\nCollaborate with data, cloud and business teams to deliver scalable AI solutions aligned with client objectives\nProvide technical guidance on AI architecture, testing methodologies and production deployment strategies\nO que é pedido\nBachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science or a related field, or equivalent professional experience\n5+ years of experience in Software Engineering, Data Engineering, Machine Learning Engineering or AI-related roles\nAt least 2 years of hands-on experience developing and deploying Generative AI and RAG solutions\nProven experience delivering RAG architecture into production\nExperience designing, implementing and supporting cloud-based applications in AWS\nExperience working in agile and multidisciplinary technical teams\nProfessional proficiency in English\nStrong proficiency in Python\nHands-on experience with AWS SDK (Boto3)\nExperience building and optimising RAG architectures\nKnowledge of Amazon OpenSearch and enterprise search solutions\nExperience with Amazon Bedrock and Knowledge Bases\nUnderstanding of Agentic AI architectures and AI agent orchestration patterns\nStrong expertise in Prompt Engineering\nExperience implementing LLM evaluation frameworks, including LLM-as-a-Judge\nKnowledge of LLM FinOps, model routing and inference optimisation strategies\nStrong analytical, problem-solving and solution-design capabilities\nAbility to translate business requirements into scalable technical solutions\nValorizado\nProfessional proficiency in French\nExperience with LangGraph, LangChain, AWS Strands Agents or similar orchestration frameworks\nExperience in consulting or client-facing environments\nKnowledge of MLOps, CI/CD and AI deployment best practices\nAWS certifications, particularly in AI, Machine Learning or Cloud Architecture\nExposure to international projects and multicultural teams\nExperience evaluating and benchmarking LLM-based applications in production environments\nO que é oferecido\nCompensation: €45k to €70k gross per year / €300 - €400 day\nCompetitive salary aligned with your experience and the data market\nMeal allowance: €10.20/day\nFlexible benefits plan\nPrivate medical insurance\n22 days of annual leave, increasing every 3 years (up to 25 days)\nContinuous learning via KLX - Keyrus Learning Experience\nResumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.","description_format":"text","description_chars":3665,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"French","level":"Advanced (C1)","optional":false},{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Annual leave","Continuous learning","Health insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Career Services","Job Boards & Aggregators","Online Reviews & Ratings"],"lifecycle":[{"event":"open","at":"2026-09-27T14:54:48Z"}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":4,"expected_fill_days":31,"reasons":["seen:4","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-09-28T05:45:00Z"},"pay":{"stated_usd_annual":79813,"is_top_pay":false},"html_url":"https://alion.io/job/teamlyzer-ai-engineer-aws","json_url":"https://alion.io/job/teamlyzer-ai-engineer-aws.json","meta":{"generated_at":"2026-09-29T01:35:08Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1209,"day_limit":5000,"remaining_today":3791,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}