AI Software Engineer

About UsAt SILVARE, we're a dynamic team achieving remarkable results. We've built a reputation for delivering fast, impactful results that keep our clients coming back, many of whom are some of the biggest names in tech.What Μakes Us DifferentWe're easy to talk to, we get straight to the point and we're all about making things happen. We're proud of the strong relationships we build, both with our team and our clients. We believe in keeping our people happy, whether it's through improving benefits, having open conversations about their projects or just being there when they need us. It's a supportive environment and culture that helps both us and our people thrive. If you're ready to work on exciting projects, grow alongside industry leaders and make a real impact, we'd love to have you join us at SILVARE.Role OverviewWe are looking for an AI Software Engineer to design, build, and deploy AI-driven solutions that enhance products, automate processes, and unlock data value.What You'll Be DoingDesign and build applications in which LLM-based agents do real work — reasoning over context, calling tools, and acting inside business processesOwn features end to end: agent behaviour, the systems it plugs into, and the user-facing experienceBuild the full product around the agent — integrations with business systems, data/state, APIs and UI surfacesDefine what "correct" means for agent behaviour, build evaluation/regression suites, and use production traces to improve itBalance quality, latency and cost as first-class engineering concernsWork daily with generative-AI coding agents (Claude Code, Codex or similar) — decomposing work, giving precise context, reviewing output with full rigorPartner with product and business stakeholders to turn loosely defined needs into shippable incrementsWhat You'll BringSolid full-stack engineering background with production systems; strong in at least one modern languageHands-on experience building LLM-based applications, including at least one agent framework in depth (LangGraph, LangChain, Semantic Kernel, OpenAI Agents SDK or equivalent)Practical grasp of integration, data and cloud fundamentals: APIs, authentication, relational data, containers, CI/CD, at least one major cloud platformFluent, deliberate use of AI coding tools, with a critical eye on their outputStrong engineering hygiene: testing, code review, observability, clear documentationExcellent communication in Greek and English, able to explain agent behaviour and trade-offs to non-engineersNice to HavesLLM evaluation practices: offline eval sets, LLM-as-judge, prompt regressionRAG, vector search, or Model Context Protocol (MCP) toolingConversational or voice interfacesExperience delivering in regulated environments — privacy, PII handling, auditabilityHow We Support Your GrowthLunch Is On Us: Monthly allowance for your favorite meals.Health First: Private health & life insurance for peace of mind.Set Up For Success: The right tools to stay connected and perform your best.Curiosity Never Retires: Access to Udemy for unlimited learning.Career Rocket Fuel: Coaching and mentorship programs tailored to your goals.Work With The Best: Collaborate with industry-leading clients.Celebrate Diversity: Be part of a team that values every perspective.Performance Pays Off: Annual discretionary bonus based on yearly contributions.Social Responsibility: Give back through volunteering and sustainability.Excited to Make an Impact? Apply today and be part of what we're building togetherAt SILVARE, we are committed to diversity, equity, and inclusion in all aspects of our workplace. We welcome applicants from all backgrounds and do not discriminate based on race, gender, religion, sexual orientation, age, disability, or any other characteristic protected by law.Last but not least, we remain fully committed to protecting your privacy. Our operations align strictly with the General Data Protection Regulation (EU) 2016/679. Any personal data provided within this application is processed and stored in full accordance with applicable data protection laws, utilized solely to evaluate your candidacy for recruitment purposes.