3 дня назад
Modernization Engineer/FDE (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Modernization Engineer/FDE (AI) (Generative AI, Agentic AI, RAG): Building custom AI and modernization solutions for strategic customers with an accent on enterprise integrations, production delivery, and measurable business outcomes. Focus on designing agentic workflows, integrating APIs, cloud platforms and vector databases, and validating reliability, scalability, security, and observability.
Location: Brno, Czech Republic
Company
runs and modernizes mission-critical technology systems for leading businesses, combining engineering, consulting, cloud, and AI capabilities.
What you will do
- Work directly with strategic customers to discover business challenges, operating constraints, workflows, and desired outcomes.
- Translate ambiguous requirements into technical solutions, prototypes, implementation plans, and adoption paths.
- Design, build, and iterate custom AI and modernization solutions using modern software engineering practices.
- Develop agentic workflows, RAG-enabled solutions, API integrations, enterprise automation patterns, and production-ready prototypes.
- Lead delivery from scoping and prototyping through production deployment, adoption, troubleshooting, and optimization.
- Contribute reusable code, architecture patterns, delivery playbooks, and field insights to platforms and accelerators.
Requirements
- Hands-on development experience with Python, C#, Node, or TypeScript.
- Strong software engineering fundamentals including SDLC, Git/GitHub, APIs, backend services, automated testing, CI/CD, and secure engineering.
- Experience designing, building, or integrating AI solutions with agent frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or CrewAI.
- Knowledge of Generative AI, Agentic AI, RAG architectures, prompt engineering, AI/ML frameworks, databases, and vector databases.
- Experience with cloud platforms, containers, and distributed systems, including Azure, AWS or GCP, Docker, and Kubernetes.
- Strong consulting and stakeholder communication skills, with the ability to translate business requirements into technical outcomes.
Nice to have
- Production experience implementing and improving AI, Generative AI, Agentic AI, or multi-agent solutions.
- Experience building full-stack prototypes or production systems across frontend, backend, API, data, and cloud services.
- Experience with agent telemetry, observability, evaluation frameworks, guardrails, policy-as-code, knowledge graphs, or semantic knowledge layers.
- Experience working with regulated or mission-critical customers where reliability, security, and compliance are essential.
Culture & Benefits
- Flexible, supportive, and hybrid-friendly work culture.
- Well-being programs supporting financial, mental, physical, and social health.
- Career development through personalized goals, continuous feedback, coaching, and hands-on experience.
- Learning opportunities and certifications with Microsoft, Google, and Amazon.
- Inclusive culture focused on belonging, empathy, continuous learning, and shared success.
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