{"id":1806296,"url":"https://alion.io/job/capgemini-aws-ai-developer","title":"AWS AI Developer","company":{"id":145,"name":"Capgemini","domain":"capgemini.com","url":"https://alion.io/company/capgemini","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":75,"open_postings":915,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":23,"computed_at":"2026-10-05T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","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":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":28000,"max_usd":83000,"period":"year","method":"role_seniority_country_cell","sample_n":8},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon S3","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"IAM","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false}],"status":"closed","first_seen_at":"2026-09-21T12:36:07Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-10-05T12:51:38Z","board_verified":false,"closed_at":"2026-10-05T12:51:38Z","days_open":14,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":14},"description":"At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.\nYour role\nIn your role, you will help clients unlock the value of Generative AI by designing, developing, and deploying innovative AI-powered solutions on AWS. Working at the intersection of business and technology, you will support the delivery of intelligent products and services that drive transformation, operational efficiency, and tangible business outcomes. As part of Capgemini Invent’s digital transformation projects, you will contribute to the development of advanced LLM and Retrieval-Augmented Generation (RAG) solutions, helping clients embed AI capabilities into their business processes and customer experiences. You will also champion best practices in responsible AI, security, scalability, and cloud architecture while continuously exploring emerging technologies and industry trends\nYour tasks\n\n Helping build and ship generative AI features on top of AWS-native tooling - think Amazon Bedrock, Amazon S3, AWS Glue, and AWS Lambda.\nSupporting the lifecycle of GenAI features: data ingestion and preparation, prompt design, testing/evaluation, deployment, and monitoring in production, with guidance from senior team members.\nContributing to LLM-powered applications - helping build retrieval-augmented generation (RAG) setups, writing and refining prompts, and working with foundation models via Amazon Bedrock.\nLearning and applying good practices for production-grade software: scalability, security, observability, cost awareness, and responsible AI.\nWorking closely with engineering teams to help integrate AI/ML functionality into APIs, microservices, and business applications.\nStaying curious about what's new in the AWS generative AI ecosystem and bringing ideas back to the team.\nYour profile\n2-4 years of experience building/deploying AI/ML solutions, ideally with some AWS exposure\nPractical exposure to generative AI concepts (for ex. LMs, RAG, prompt design, foundation models)\nBasic working knowledge of AWS infrastructure (for ex EC2, S3, Lambda, RDS, CloudWatch, IAM, API Gateway)\nWillingness to grow into architecting GenAI pipelines on AWS\nGood English communication skills (C1)\nSolid Python skills (clean code, REST APIs, microservices)\nAWS certification a plus (or willingness to obtain one)\nWhat You'll love about working here\nWell-being culture: medical care with Medicover, private life insurance, and Sports card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast 'Let's talk about wellbeing' which you can listen to on Spotify.\n Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, TED Talks and Udemy Business materials and trainings.\nContinuous feedback and ongoing performance discussions thanks to our performance management tool GetSuccess supported by a transparent performance management policy.\n Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details.\nGet to know us\nCapgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.\nDo you want to get to know us better? Check our Instagram - @capgeminipl or visit our Facebook profile - Capgemini Polska. You can also find us on YouTube.\nAbout Capgemini\nCapgemini is the business transformation partner for enterprises in the age of AI. We help organizations imagine and build an intelligent, sustainable future, combining AI, technology and human ingenuity to transform how they operate, innovate and grow. With unique end-to-end capabilities spanning strategy, technology, engineering and intelligent operations, we bring together deep industry expertise and market-leading capabilities in AI, cloud and data to turn ambition into measurable business outcomes at scale. Supported by a robust ecosystem of partners and nearly 60 years of expertise, Capgemini is a responsible and diverse global organization of over 410,000 team members in more than 50 countries. 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