[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"pay-detail-6249":3},{"id":4,"slug":5,"company":6,"role":7,"roleCategory":8,"roleSeniority":9,"totalSeniority":9,"qualification":10,"signOnBonus":8,"annualPay":11,"annualBonus":8,"welfareBonus":8,"healthInsurance":12,"stockOptions":12,"ticketRestaurant":13,"review":14,"status":15,"workLifeBalance":16,"professionalGrow":17,"modernTechStack":18,"benefits":18,"training":18,"toxicEnvironment":17,"workMode":19,"city":20,"gender":21,"headers":22,"underReview":12,"companyCar":12,"previousCompanies":18,"companySize":8,"yearFormerCompany":8,"workStack":45,"partTime":12,"roleDescription":46,"region":47,"createdAt":48,"updatedAt":49,"category":50},6249,"5e1ae0d7-3c45-4c4b-9427-ef015f994a1b","Akkodis italia","AI Engineer",null,"1-3","Laurea magistrale di secondo livello",33000,false,6,"Lo stile di lavoro è una consulenza quasi a body renting, quindi si è molto più vicini al cliente piuttosto che ad akkodis, almeno nella mia esperienza. Questo cambia molto da progetto a progetto.","Attuale",4,3,2,"Ibrida","Bologna","Maschile",{"ip":23,"ips":24,"host":27,"accept":28,"origin":29,"referer":30,"cdn-loop":31,"priority":32,"sec-ch-ua":33,"user-agent":34,"content-type":28,"content-length":35,"sec-fetch-dest":36,"sec-fetch-mode":37,"sec-fetch-site":38,"accept-encoding":39,"accept-language":40,"x-forwarded-for":41,"do-connecting-ip":23,"sec-ch-ua-mobile":42,"x-forwarded-proto":43,"sec-ch-ua-platform":44},"93.34.80.215",[25,26,23],"10.244.4.230","162.158.116.136","api.techcompenso.com","application\u002Fjson","https:\u002F\u002Ftechcompenso.com","https:\u002F\u002Ftechcompenso.com\u002F","cloudflare; loops=1","u=1, i","\"Chromium\";v=\"142\", \"Google Chrome\";v=\"142\", \"Not_A Brand\";v=\"99\"","Mozilla\u002F5.0 (Linux; Android 10; K) AppleWebKit\u002F537.36 (KHTML, like Gecko) Chrome\u002F142.0.0.0 Mobile Safari\u002F537.36","1206","empty","cors","same-site","gzip, br","it-IT,it;q=0.9,en-US;q=0.8,en;q=0.7","93.34.80.215,162.158.116.136","?1","https","\"Android\"","Python,LangChain,Docker,Kubernetes,Mcp,WebSocket,Pydantic ,Postman,Neo4j","Sviluppo chatbot basato su flussi Agentici, in cui si usano\nLLM per prendere decisioni su cosa fare all'interno di un software usando function calling con tool esposti tramite MCP. I tool pos","Emilia-Romagna","2025-11-14T16:23:45.457Z","2026-05-26T18:47:17.363Z",[51],"consulenza"]