Zaposlitev "agent" v "ljubljana"

Komuniciranje s potencialnimi strankami

Objavljeno pred: 5 dni

V podjetju s super kolektivom potrebujejo polnoletne, komunikativne in odgovorne osebe, agente_ke, za prodajo na področju finančnih podatkov podjetij. Prednost imajo študentje z več časa, ki bi jih kasneje tudi redno zaposlili. Zagotavljajo prilagojen delovnik. V delovni čas je vključen tudi enourni plačan odmor in kosilo. Poleg urne postavke nudijo tudi stimulativno nagrajevanje. Prijavo s pripisano telefonsko številko pošlji na e-naslov. prodaja na področju finančnih podatkov podjetij komunikativnost odgovornost zanesljivost

Objavljeno pred: 5 dni

Glavne naloge in odgovornosti: sprejem in obdelava strankinih naročil sprejem in obdelava reklamacijskih in ostalih zahtevkov pospeševanje prodaje pri obstoječih strankah po telefonu pravočasno in kvalitetno informiranje strank redno posodabljanje baze podatkov strank z lastnimi aktivnostmi in pridobljenimi novimi informacijami sodelovanje in izmenjava informacij o stranki s prodajnimi zastopniki redno sodelovanje z oddelkom za logistiko in finance priprava analiz in poročil

Objavljeno pred: 3 dni

Si pozitivno naravnana prepričljiva in zgovorna oseba? Potem iščemo prav tebe, za delo oziroma razgovor v klicnem centru se hitro prijavi! trženje telekomunikacijskih storitev prodaja osnovna uporaba računalnika odgovornost zanesljivost komunikativnost

Objavljeno pred: 2 meseca

PANLAB išče študenta ali študentko za delo na področju poslovnih informacijskih sistemov, avtomatizacije procesov in uporabe umetne inteligence. Delo poteka predvsem na računalniku, programersko znanje pa ni pogoj. Pomembnejša sta logično razmišljanje ter razumevanje delovanja programov, podatkov in poslovnih procesov. Ker sodobna AI orodja prevzemajo vse več rutinskih nalog, je danes ključnega pomena predvsem sposobnost razumevanja problemov ter učinkovita uporaba in sodelovanje z AI orodji in agenti. K prijavi vabijo predvsem študente ekonomskih, poslovno-informacijskih in drugih analitično usmerjenih smeri. Delo poteka v dopoldanskem času v Ljubljani, na Kolarjevi ulici 47, začetek dela pa je predviden 29. 6. 2026. Če te zanimajo sodobne tehnologije, digitalizacija in umetna inteligenca, se prijavi in postani del ekipe PANLAB. delo na računalniku spoznavanje in uporaba poslovnih informacijskih sistemov pomoč pri avtomatizaciji procesov uporaba AI orodij pri delu delo s podatki razumevanje delovanja programov in poslovnih procesov sodelovanje z AI orodji in agenti pri reševanju različnih nalog Programersko znanje ni potrebno logično razmišljanje ter razumevanje, kako delujejo programi, podatki in poslovni procesi zaželena smer študija ekonomije, poslovne informatike in drugih analitičnih smeri študent (m/ž), ki ga zanimajo poslovni informacijski sistemi, avtomatizacija in uporaba pololetnost resnost do dela odgovornost zanesljivost vestnost doslednost

Pri PredictLeads iščemo AI / ML inženirja (https://predictleads.com in podjetje 4see d.o.o.). Smo Y Combinator graduate in Finalist izbora Zlate Niti v kategoriji do 50 zaposlenih. Iščemo in strukturiramo podatke, ki nakazujejo hitrost rasti podjetij. Naše datasete uporabljajo Data Science in Engineering ekipe in gradijo "insighte" nad njimi, jih vključujejo v agentic workflowe, uporabijo preko MCP-jev, API-jev̷ Vse za namene boljšega razumevanja razvoja podjetij in smeri globalnih trgov. Uporabljajo nas najhitreje rastoči AI startupi, Fortune 500 podjetja, investicijska podjetja in globalna market intelligence podjetja. Primeri podatkov, ki jih ponujamo so informacije o tehnologijah, ki jih uporabljajo podjetja, struktirirani in kategorizirani news eventi, podatki o odprtih delovnih mestih in supply chain relationshipi. Konkuriramo na svetovni ravni. Vaša naloga bo vzpostaviti agentic sisteme za iskanje podatkov po spletu. Presoditi kje je smiselno uporabljati ML sisteme in kje LLM based sisteme. Eksperimetirati z LLM modeli, RAG sistemi, harnessi. Testirati in vpeljati agent orchestration sisteme. Za razliko od pogoste poti startup-ov naš cilj ni exit. Ampak si želimo ustvariti okolje, kjer bomo s sodelavci radi delali na zastavljenih problemih na dolgi rok. Kjer bomo postali eksperti v tem kar počnemo. Prav tako ne želimo rasti v neskočnost headcount-wise ampak ustvariti ekipo velikosti, kjer se vsi poznamo po imenih in raje povečevati plače zaposlenim. Informativen opis sistema in uporabljenih tehnologij: - uporabljamo: Python, PostgreSQL, Ruby on Rails, Kubernetes, Docker, Scala, Spark, Neo4j, RabbitMQ, GitLab, Elasticsearch, - za crawlanje uporabljamo Python in BeautifulSoup, - podatke shranjujemo v PostgreSQL in Neo4j bazi, - za queue sistem uporabljamo RabbitMQ, za scheduling pa Sidekiq, - spletna aplikacija in API sta napisana v Ruby on Rails, - delo organiziramo tako, da je nepotrebnih sestankov čim manj. - razumevanje in znanje implementacije LLM modelov, - razumevanje uporabe agentic sistemov, - odlično znanje programskega jezika Python, - znanje grajenja modelov, - dobro poznavanje arhitekture odjemalec-strežnik, - natančnost in samoiniciativnost, - če imate izkušnje s crawlanjem spletnih strani, toliko bolje (Selenium, Splash, PhantomJS, Puppeteer), - dobrodošle tudi izkušnje z Dockerjem in RabbitMQ. - redno zaposlitev za nedoločen čas, - plačo med 5000 in 7500 EUR bruto, - review plače na vsakih 6 mesecev, - nagrado ob koncu leta glede na performance podjetja, - maksimalno izplačilo malice in regresa, - minimalno 25 dni dopusta, - delo od doma ali iz pisarne (pisarna v BTC-ju, veliko parkirišče za rampo), - budget za ureditev domače pisarne, - delo v inovativnem, mednarodno usmerjenem podjetju, - delo v mladi ekipi, kjer imaš velik vpliv na razvoj produkta in kjer se ceni samoiniciativnost, - popolna transparentnost pri finančnih metrikah podjetja, - delo z izkušenimi in motiviranimi sodelavci. Veseli bomo vaše prijave. Pošljete jo lahko na [email protected] (cc [email protected]).

V Kolibri Labs širimo engineering ekipo in iščemo Senior Machine Learning / AI Engineerja/-ko, ki bo skupaj z nami gradil/-a AI-native platformo za znanstveno delo, peer review in objavljanje raziskav. Platformo razvijamo v tesnem partnerstvu z mednarodno akademsko organizacijo iz ZDA, ki produkt skupaj z nami aktivno soustvarja. Tvoj fokus bo core AI stack in vprašanje, kako AI sisteme narediti dejansko uporabne, merljive in boljše. Delal/-a boš na: Iščemo nekoga, ki: - zelo dobro razume moderne LLM sisteme in njihove omejitve, - dobro razume statistiko in eksperimentalno metodologijo, - zna zasnovati kakovostne evale, benchmarke in eksperimente, - zna rezultate kritično interpretirati in ločiti signal od šuma, - zna modele in eksperimente spraviti iz notebooka v produkcijsko okolje, - hitro preverja nove ideje in se ne naveže prehitro na en pristop, - aktivno spremlja nove modele, papers, GitHub projekte, agent frameworke in eval pristope, - ima svoje mnenje o tem, kaj v trenutnem AI svetu dejansko deluje in kaj ne, - se zelo dobro pisno in ustno izraža, - je pripravljen/-a svoje rezultate tudi javno predstaviti oziroma objaviti. Ne iščemo nujno akademika. Pomembneje nam je, da razumeš raziskovalni način razmišljanja, znaš postavljati dobre hipoteze in jih preverjati z eksperimenti. Poznavanje raziskovalnega oziroma akademskega procesa od znotraj je velik plus. PhD ni pogoj. - delo na zahtevnih problemih na presečišču LLM-jev, agentov in znanstvenega dela, - dostop do velike količine kakovostnih podatkov s tega področja, - veliko svobode pri načrtovanju eksperimentov in raziskovalnih smeri, - možnost razvoja in javne objave benchmarkov in rezultatov, - neposreden vpliv na core AI stack produkta, - možnost dela tako na raziskovalnih kot produkcijskih problemih, - sodelovanje z ekipo v Sloveniji in partnerjem v ZDA, - okolje, kjer se pričakuje hitro eksperimentiranje in argumentirano tehnično razpravo, - remote-friendly način dela, 5.500 - 8.000 € bruto/mesec + performance bonus. Trenutno nas je okoli 10 v Sloveniji, tesno pa sodelujemo tudi z ekipo našega partnerja v ZDA. Pošlji nam LinkedIn, GitHub, CV oziroma karkoli, kar najbolje pokaže tvoje delo, na: [email protected] Ob prijavi nam na kratko odgovori še na vprašanji: Kaj je trenutno v LLM/agent svetu najbolj precenjeno in kaj najbolj podcenjeno? Kako bi preveril/-a, ali AI reviewer dejansko izboljšuje kakovost peer reviewa?

V Kolibri Labs širimo engineering ekipo in iščemo Senior Software Engineerja/-ko, ki bo skupaj z nami gradil/-a AI-native platformo za znanstveno delo, peer review in objavljanje raziskav. Platformo razvijamo v tesnem partnerstvu z mednarodno akademsko organizacijo iz ZDA, ki produkt skupaj z nami aktivno soustvarja. Tvoj fokus bo gradnja produkta od problema do produkcije. Delal/-a boš na: Iščemo nekoga, ki: - ima več let izkušenj z razvojem produkcijskega softwara, - se dobro znajde čez več delov stacka in ni omejen/-a samo na backend ali frontend, - zna samostojno prevzeti problem in ga pripeljati od ideje do produkcije, - dobro razume načrtovanje API-jev, podatkovnih modelov in produkcijskih sistemov, - zna razmišljati o skalabilnosti, zanesljivosti in kakovosti kode, - ga LLM-i, agenti in AI-native produkti res zanimajo, - aktivno uporablja oziroma raziskuje AI orodja za razvoj softwara, - se zelo dobro pisno in ustno izraža, - zna jasno zagovarjati svoje tehnične odločitve, hkrati pa sprejeti boljši pristop drugega člana ekipe. Prednost so izkušnje z našim stackom, niso pa pogoj. Raziskovalne ali akademske izkušnje so lahko plus. PhD ni pogoj. - delo na produktu na presečišču AI-ja, softwara in znanosti, - veliko tehnične avtonomije in neposreden vpliv na produkt, - delo na problemih, kjer LLM-i in agenti niso samo dodatek, ampak osrednji del produkta, - sodelovanje z izkušeno ekipo v Sloveniji in partnerjem v ZDA, - možnost dela čez različne dele produkta in stacka, - veliko prostora za preizkušanje novih AI orodij in pristopov, - remote-friendly način dela, 5.500 - 8.000 € bruto/mesec + performance bonus. Trenutno nas je okoli 10 v Sloveniji, tesno pa sodelujemo tudi z ekipo našega partnerja v ZDA. Pošlji nam LinkedIn, GitHub, CV oziroma karkoli, kar najbolje pokaže tvoje delo, na: [email protected] Ob prijavi nam na kratko odgovori še: Kako danes uporabljaš AI pri svojem delu in kaj se je zaradi tega konkretno spremenilo?

About the Opportunity & Team This role sits within the Ad Experience team, reporting directly to our Engineering Director based in Montpellier, France. This team is responsible for driving the complete lifecycle of a Creative on the Enterprise side of Teads. We build the core tools that bring digital ads to life: Studio: Our flagship WYSIWYG web application designed to craft and animate rich ad experiences. Creative Editor: A guided workflow for building streamlined creatives quickly and intuitively. Ad Delivery & Players: Proprietary in-browser players that seamlessly render ad formats across millions of web pages. Our technology stack is front-end leaning (Angular, React, and pure TypeScript formats), backed by robust Node.js and Scala services. A major strategic priority for the team is expanding our capabilities by building an intelligent AI agent. This agent will empower creators inside and outside of Teads to design high-performing creatives faster through an innovative, AI-based design scoring system. You will manage and support a dedicated, distributed team of 4 frontend/full-stack engineers (3 based locally in Ljubljana and 1 in Montpellier). You will collaborate daily with a dedicated Product Manager based locally in Ljubljana, while the team's overarching technical vision is further supported by 2 Staff Engineers reporting directly to the Engineering Director. We are looking for someone with Frontend or Full-stack experience. About the Role As the Engineering Manager for Ad Experience, your mission is to mentor, support, and empower your engineering team while collaborating closely with product and cross-functional partners to deliver exceptional creative tools. Success in this role means establishing a highly trusting, psychologically safe environment where engineers can thrive, while ensuring the seamless delivery of our AI agent and core creative applications. We know that great leaders come from diverse backgrounds. You do not need to check every single box to be a strong candidate for this role. If you are passionate about building supportive teams and great products, we want to hear from you. Leadership or Distributed Work Experience: Proven experience guiding and supporting software engineers as a manager, team lead, or mentor; OR significant experience as a senior/principal engineer working autonomously in remote/distributed setups with a strong desire to transition into formal management. Technical Comfort: Strong understanding of modern web ecosystems, comfortably navigating across front-end systems (TypeScript, Angular, or React) and backend setups (Node.js, Scala, or similar). Collaborative Communication: Fluent English with strong active listening skills, empathy, and a highly collaborative approach to problem-solving. Location: Right to work in Slovenia (Ljubljana-based hybrid setup). Bonus Experience building or scaling rich web applications, WYSIWYG editors, canvas tools, or complex web ad formats. Exposure to integrating AI/LLM models or intelligent scoring systems into intuitive, user-facing products. Hands-on experience nurturing cross-border collaboration between international engineering hubs (e.g., France and Slovenia). People Development & Team Culture Nurture and support your team members through regular 1:1s, constructive feedback, and highly tailored career growth plans. Foster an inclusive, trusting, and psychologically safe environment where open communication is championed, diverse perspectives are deeply valued, and ownership is shared. Build strong distributed collaboration practices to maintain a seamless, connected community between your team members in Ljubljana and colleagues in Montpellier. Product Delivery & Technical Direction Partner closely with your local Product Manager and UX design to thoughtfully translate product strategies into actionable milestones, balancing new feature development with platform stability. Guide the continuous development of our creative platforms (Studio, Creative Editor) and browser ad players. Champion the rollout of our AI-assisted design agent and real-time scoring system, encouraging a culture of thoughtful experimentation and shared learning. Operational Excellence & Collaboration Facilitate clear alignment across our full-stack ecosystem (Angular, React, TypeScript, Node.js, and Scala), drawing on the technical expertise of our Staff Engineers. Remove blockers and refine workflows with empathy, ensuring the team can maintain a healthy, fulfilling, and sustainable pace of execution. Connect your team with cross-functional partners across the wider Teads enterprise organization, ensuring your engineers understand the broader business impact of their work. Meaningful scope & real ownership: your scope is bigger than your title. Guide products that power creative experiences for millions of web users globally. Global exposure and genuinely complex challenges at real scale: 2.2Bn users / month and 18Bn ad opportunities / day. Smart, ambitious peers across 30+ markets in a highly collaborative, cross-border setup. A genuinely human culture: high care alongside high accountability, where your well-being and flexibility matter. Real investment in your growth: mentorship, coaching, courses, workshops, certifications, and management programs. https://job-boards.eu.greenhouse.io/teads1/jobs/4981050101

About us You'll join MTS (Managed Trading Services) - the platform behind Sportradar's risk betting management, processing millions of bets in real time for operators around the world. Our teams own high-throughput, low-latency services: risk and liability, odds and offer, ticket validation, and the data plane that feeds them. We work in a modern cloud-native stack: Java (Spring Boot / Quarkus), Kafka / MSK, gRPC & Protobuf, AWS (EKS, ECS, DynamoDB, Aurora), ArgoCD / GitOps, Terraform, and observability on Grafana, Prometheus and OpenTelemetry. This is a great place to level up: you'll ship real features to production quickly, learn a genuinely rich domain, and grow toward owning larger pieces of it. The challenge - Design, build, test and ship backend services and APIs that are part of a larger, real-time system; and see them through to production. - Deliver in small increments. Break work into concrete, independently shippable pieces that land and get validated as you go, rather than accumulating into one big drop. - Own your changes in production; help with monitoring, alerting and the occasional on-call, and learn how your services behave under real load. - Write clean, well-tested, documented code, take part in code review, and help capture key decisions so the team can build on them. - Learn the MTS ecosystem; how the interconnected services fit together; and grow the independence to make more calls yourself over time. - Work with product managers and senior engineers to turn requirements into well-shaped, deliverable work. - Use modern, AI-assisted development; we actively encourage spec-driven, agentic workflows to move faster with quality. About you Must-have skills - 2+ years of professional experience with Java (Spring Boot, Hibernate, or similar modern frameworks) or another strong OO language. - Good grasp of computer science fundamentals and clean, testable code. - Solid understanding of automated testing; unit, integration, and API testing (JUnit, Mockito, or similar). - Comfortable with CI/CD and collaborative git workflows. - AI-assisted, spec-driven development as part of your day-to-day workflow; not just autocomplete. - Willingness to run what you build; going beyond writing code to owning your changes in production (deployment, monitoring, on-call). Nice-to-have skills - Exposure to AWS, Kafka, Docker / Kubernetes, or relational and NoSQL databases. - Familiarity with gRPC / protobuf, Rest API design, or event-driven systems. - Interest in IaC (Terraform), GitOps, or observability tooling. - Interest in betting, trading, or other real-time / high-throughput domains. Personal traits - Eager to learn; a complex domain and a modern stack, quickly. - Takes ownership of their work and wants to grow toward owning features end-to-end. - A collaborative teammate with good communication who asks questions and gives honest input. - Pragmatic, with a bias toward shipping small and often. - A positive, can-do attitude and a commitment to high professional standards. Our offer - A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia, and the US), including various social events and teambuilding. - Ability to shape your own workday and career via a clearly defined professional and personal development plan. - Opportunity to develop yourself within an inspiring and fast-growing company with our Career framework possibilities. - Vibrant and inclusive community, including Women in Tech and Pride groups, which welcome all participants. - Global Employee Assistance Programme. - Calm and Reulay app (managing stress, maintaining focus, improving sleep, building resilience). - Online training videos. - Flexible working hours. While we appreciate the flexibility and benefits of working from home, we strongly believe that coming together in person fosters stronger connections, encourages collaboration, and drives innovation; both as individuals and as a company. The energy, shared ideas, and team support we experience in the office strengthen the foundation of our success and culture. For this reason, we are an office-first business operating on a fully on-site model, with team members working in the office five days a week to build relationships, exchange ideas, and grow together. Certain exemptions may apply depending on location; your local point of contact can provide further details. Our recruitment process - Initial screening: a quick video chat with our Talent Acquisition Partner. - Introduction interview: meet the technical team and hiring manager to dive into the team and your expertise. - Technical assessment: a short home task with emphasis on your AI-assisted, spec-driven development skills; showing how you use agentic workflows to deliver. - Final interview: discuss your solution and team fit with additional team members. - Final steps: feedback and, if successful, an offer. https://smrtr.io/B-Dps

At Celtra, data is an important part of the products we build. We ingest and transform data from a range of internal and external sources and use it to power analytical features, APIs, and increasingly AI-powered experiences for our users. We are looking for a Software Developer, Data to join our product engineering team. This is a software engineering role focused on building product-facing data systems and features end to end - from understanding and modeling the data to pipelines, backend services, and user-facing experiences. You will work across the stack, own features through production, and help us build reliable and maintainable systems that turn data into useful product capabilities. What tools do we use? Our data platform is centered around Snowflake and dbt, with Fivetran and custom integrations handling data ingestion. We use Terraform for infrastructure as code and CI/CD extensively to automate testing and delivery. Our application stack is built primarily with TypeScript, with Vue.js on the frontend. The team also builds backend services, analytical APIs, workers, and orchestration infrastructure. AI is also part of how we build software. We have an AI-assisted SDLC in place where engineers orchestrate coding agents to offload repetitive and tedious work, while staying responsible for technical decisions, quality, and outcomes. 1. Your Responsibilities - Own and build product features end to end, working across data pipelines, backend services, and frontend when needed, and taking them through to production. - Understand the data and its sources, and design and evolve data models that are clear, maintainable, and reusable. - Build and improve our data pipelines and infrastructure, from ingestion and transformation to orchestration, reliability, and production operation. - Build analytical APIs, services, and frontend experiences that make data available to our products and users. - Work with product stakeholders, clients, and vendors to understand needs, investigate problems, and turn them into practical technical solutions. - Contribute to the evolution of our data platform, including data quality, governance, observability, and AI-powered capabilities. 2. Qualifications - Strong SQL and data modeling skills, with experience building ETL/ELT pipelines and working with layered transformation patterns such as raw/staging, intermediate, and curated data models. - Solid software engineering fundamentals, with experience building and operating production systems and backend services. - Good understanding of software engineering practices such as automated testing, CI/CD, and production observability. - Ability to independently own and deliver moderately complex engineering work, from understanding the problem through implementation and production operation. - Good verbal and written English communication skills. 3. What brings extra points? - Hands-on experience with Snowflake, dbt, Fivetran or other ingestion frameworks, Terraform, or TypeScript. - Experience building distributed systems, asynchronous workflows, or orchestration systems. - Experience designing data quality, observability, or governance systems. - Experience building or improving development harnesses for coding agents and agentic workflows. - Experience developing AI agents or systems that provide AI applications with access to structured company data. - Familiarity with frontend frameworks such as Vue.js. 4. What we value You don't need to know every tool in our stack. What matters more is that you are curious, proactive, and motivated to grow. We value engineers who like to understand how things really work, take ownership beyond the initial implementation, and are comfortable working across different parts of the stack. You should enjoy turning ambiguous problems into practical solutions and continuously expanding what you can take on independently. 1. Why Celtra? - Impact: Create high-quality digital work for leading global brands across a wide range of campaigns and formats. - Culture: We are inventive, collaborative, and proudly a little bit quirky - because doing great work should also be fun. - Flexibility: Hybrid with strong hubs in Ljubljana, London and New York, and team get-togethers that keep us connected. - Growth: You will learn from experienced team members and grow into bigger roles as you go. 2. What we offer? - Flexible working hours and hybrid work based on a fixed number of in-office days. - A dedicated educational budget to explore new skills and deepen your expertise. - Equipment of your choice. - Knowledge shares. - Additional pension and health insurance. - WFH budget. An additional budget of 500 EUR to set up your home space. - Employee well-being. Dedicated budget for any kind of wellness activities such as fitness, yoga, etc. Apply here: https://celtra.com/careers/openings/#op-706810-software-developer-data