Technical Innovation Consultant

5 days ago

Remote, Czech Republic ITMAGINATION Full time

5+ years in software engineering or solution consulting with end-to-end ownership of MVPs/POCs. Strong Python (APIs, data processing, or backend services). TypeScript/Node.js fundamentals; ability to assemble lightweight frontends (e.g., Vue/React). Containers & orchestration: Docker, Kubernetes; cloud-agnostic deployment experience. CI/CD (Git-based workflows; pipelines to build/test/deploy autonomously). Practical LLM/AI delivery experience (e.g., calling model APIs, building RAG pipelines, prompt/tool design). Proven client-facing skills: requirement discovery, stakeholder alignment, clear communication in German. Willingness to travel to Germany a few times per year. TMAGINATION, now part of the Virtusa Group helps its Clients by becoming a true extension of their software and data development capabilities. Through the readily set up, comprehensive, and self-governing teams, we let our Clients focus on their business while we make sure that their software products and data tools scale up accordingly and with outstanding quality. We are looking for experienced team players to fill the position of Technical Innovation Consultant (AI/MVP with German) and participate in our up-and-coming project for our client from the telecommunication industry.About the roleHands-on consulting engineers who scope, build, and iterate production-grade MVPs/POCs with business stakeholders. The role blends solution architecture, backend-leaning development (Python-first), modern frontend (TypeScript), and platform skills (containers, CI/CD, Kubernetes). Strong facilitation, client-facing communication, and ownership mindset are essential. ,[Partner with business leads to frame problems, define success metrics, and shape experiment/MVP backlogs., Rapidly design and implement MVPs (backend-first; integrate data/APIs; ship usable UIs when needed)., Build and operate CI/CD pipelines; containerize services; deploy to Kubernetes-based environments., Design and integrate AI features (e.g., LLM-powered flows, retrieval-augmented generation)., Ensure security, observability, and basic SRE hygiene for prototypes promoted to pilot., Run demos, collect feedback, iterate quickly; document decisions and architectures., Coach stakeholders on feasibility and trade-offs; contribute to internal playbooks and templates.] Requirements: Python, TypeScript, Node.js, LLM, AI Additionally: Sport subscription, Private healthcare, International projects.

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