
201 - 500 employees
Founded 2004
💼 Consulting
📣 Marketing
☁️ SaaS
Consulting • Marketing • SaaS
Inviso is a Microsoft Cloud Solution Provider (CSP) that specializes in transformative technology solutions tailored for an AI-driven world. With over 20 years of experience as a proven Microsoft partner, Inviso offers a range of services including data analytics, business process automation, cybersecurity, and data governance. Their mission is to help organizations optimize their use of Microsoft technologies to enhance productivity and secure their operations. Inviso leverages advanced AI technologies and provides expert guidance to drive meaningful organizational transformation, ensuring that clients can thrive in a secure, modern work environment.
🔥 0 minutes ago
🇵🇱 Poland – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
👮♂️ Cybersecurity / Security Engineer
👻 Ghost score 10%
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201 - 500 employees
Founded 2004
💼 Consulting
📣 Marketing
☁️ SaaS
Consulting • Marketing • SaaS
Inviso is a Microsoft Cloud Solution Provider (CSP) that specializes in transformative technology solutions tailored for an AI-driven world. With over 20 years of experience as a proven Microsoft partner, Inviso offers a range of services including data analytics, business process automation, cybersecurity, and data governance. Their mission is to help organizations optimize their use of Microsoft technologies to enhance productivity and secure their operations. Inviso leverages advanced AI technologies and provides expert guidance to drive meaningful organizational transformation, ensuring that clients can thrive in a secure, modern work environment.
• Support an external software development organization as part of Inviso’s delivery team • Build and operate AI capabilities across an enterprise platform • Develop agent runtimes, model routing, RAG, tool/function calling, guardrails, evaluation, monitoring, cost management, latency optimization, and production quality controls • Move AI capabilities from prototype to monitored production systems • Evaluate AI behavior rigorously • Partner with product and engineering teams to determine where AI is appropriate • Deliver AI capabilities that are useful, reliable, measurable, safe, and cost aware • Turn experiments into production features • Build evaluation discipline into the delivery process • Help client teams make informed decisions about where AI creates real value • Provide client-facing consulting support and travel as needed for client needs
• Experience shipping software backed by LLMs, ML models, RAG systems, or agentic workflows to real production users • Experience designing or implementing agent runtime, orchestration, model routing, tool/function calling, or AI workflow patterns • Strong understanding of RAG, grounding, retrieval quality, prompt design, context management, and evaluation approaches • Experience building evaluation harnesses, golden sets, regression checks, quality gates, or measurable AI performance frameworks • Ability to treat cost, latency, reliability, and safety as first-class engineering constraints • Experience building guardrails and controls for AI systems, including untrusted retrieved content, tool output risk, and failure modes • Experience monitoring production AI behavior and improving systems based on evidence • Strong software engineering skills • Ability to collaborate with backend, platform, product, and security teams • Strong communication and collaboration skills for client-facing consulting environments • Pragmatic mindset focused on business value and responsible delivery • Experience with Claude, GPT, Azure OpenAI, open-source models, model routing, fine-tuning, distillation, or small/edge models • Experience with MCP, A2A, multi-agent orchestration, AI tool calling, or agent evaluation • Experience with LLM-as-judge approaches calibrated against human evaluation • Experience with semantic knowledge management, ontologies, knowledge graphs, or semantic layers • Experience with AI development lifecycle practices across data, build, evaluation, deployment, monitoring, and continuous improvement • Experience using AI-assisted development tools while maintaining review, testing, and safety discipline
• paid annual leave and public holidays • disability insurance • retirement & pension • unemployment insurance • worker compensation insurance • maternity leave • paternity leave • parental leave • bereavement leave • marriage leave • rewarding referral bonus program • annual education reimbursement program • Competitive, fair, and flexible compensation package
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