Senior Software Engineer Agentic AI applications

We are looking for a Senior Software Engineer to join our team and help us design, build, and operate modern backend systems for data- and AI-driven products. In this role, you will work closely with engineers, product owners, architects, and other stakeholders to translate business and technical requirements into reliable, scalable, and maintainable software solutions.
You should bring strong backend engineering experience, a pragmatic mindset, and the ability to communicate technical topics clearly to both technical and non-technical audiences. Beyond technical implementation, we are looking for someone who thinks like an IT consultant: someone who understands stakeholder needs, asks the right questions, challenges assumptions constructively, and helps identify the best possible solution for the given business and technical context.
You enjoy collaborating with colleagues, discussing solution options, explaining trade-offs, and creating alignment across different perspectives. You are comfortable taking ownership from concept to production and care about delivering solutions that are not only technically sound, but also practical, sustainable, and valuable for the people who use them.

Your main accountabilities:

In this role, you will take technical responsibility for AI application projects within Deutsche Telekom. Working in small, cross-functional teams, you will turn business needs and early concepts into reliable software solutions, covering the full engineering lifecycle from proof of concept and technical validation through production readiness, go-live, and structured handover to MLOps or operations teams.

Your responsibilities will include:

• Designing and implementing production-grade backend services, APIs, and integration components for data- and AI-enabled applications
• Translating business requirements into technical concepts and scalable, secure, maintainable software architectures while driving their implementation within small, cross-functional teams
• Building production-grade agentic workflows on an existing agentic workflow platform and integrating them with enterprise systems, APIs, data sources, knowledge bases, and business processes
• Ensuring the reliable and controlled operation of AI applications through automated testing, error handling, fallbacks, guardrails, human-in-the-loop mechanisms, security, observability, traceability, and auditability
• Developing solutions iteratively from PoC and prototype stages to production, including deployment, go-live support, troubleshooting, and technical stabilization
• Establishing engineering practices such as code reviews, CI/CD, GitOps, automated integration and end-to-end testing, and technical documentation
• Ensuring a structured handover to MLOps or operations teams, including deployment procedures, monitoring, runbooks, operational documentation, and knowledge transfer
• Collaborating with product owners, architects, data scientists, MLOps engineers, security specialists, platform teams, and business stakeholders to evaluate solution options, explain trade-offs, and identify technical risks and dependencies
• Contributing reusable components, integration patterns, and engineering standards while supporting other engineers through technical guidance, mentoring, and code reviews

The role focuses primarily on software engineering for AI-enabled applications rather than pure data science or model research. You will typically use existing models, AI services, and agentic workflow platforms and turn them into reliable, secure, integrated, and operable business applications.

To be successful in this role, you should have:

MUST HAVE

• 5+ years of professional software engineering experience, with a strong focus on backend development and Python for production grade systems
• Solid experience building backend services, APIs, and distributed systems
• Experience with containers and deployment technologies such as Docker, Kubernetes, or serverless platforms
• Good understanding of software architecture, clean code principles, and engineering best practices
• Experience working with Git, pull requests, code reviews, and collaborative development workflows
• Practical experience with CI/CD and GitOps concepts and tools
• Ability to work independently, take ownership, and drive topics forward
• Strong communication skills and the ability to explain technical concepts in clear, simple, and stakeholder-appropriate language
• An outgoing, collaborative personality and a genuine interest in working with colleagues to find good solutions

NICE TO HAVE

• Knowledge of data engineering concepts, such as ETL/ELT pipelines, data transformation, batch processing, data quality, or orchestration tools
• Experience with deployments on hyperscaler platforms such as AWS, Azure, or Google Cloud Platform
• Experience with AI-enabled backend applications, especially RAG-based systems, semantic search, document Q&A, internal knowledge assistants, or agentic workflows using tools such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, OpenAI, Azure OpenAI, Anthropic, or similar technologies
• Familiarity with typical RAG stack components, such as embeddings, chunking, vector databases/search engines like pgvector, Pinecone, Weaviate, Qdrant, OpenSearch, Elasticsearch, or Azure AI Search, as well as observability/evaluation tools such as LangSmith, Langfuse, OpenTelemetry, or Arize Phoenix
• Experience with monitoring, logging, tracing, and observability tools
• Full-stack capabilities and experience in building frontends are a big plus
• Familiarity with security, authentication, authorization, and secure API design
• Experience mentoring engineers or leading technical initiatives

What will you gain:

We want you to know that we value our employees and want to provide you with more than just a job. As a valued member of our team, you will receive a range of benefits that include:

• An annual financial bonus
• An extra week of holiday (25 days/year), Up to 5 My days, and 1 day off for volunteering
• Additional paid time offs for married couples/registered partnerships, parents on the first day of school, extended paternity leave, and time-offs for foreigners dealing with state office matters
• Flexible working hours and the possibility to work remotely
• Pension plan contribution
• Free refreshments (water, coffee, tea, milk, and fruits available in the office)
• Company Shares
• Alza Discounts
• Company mobile phone and laptop
• Meal vouchers in the amount of 160 CZK per working day
• A variety of Benefits (Cafeteria Plan, Multisport Card, Makro Card)
• A family program with T-Mobile (discounts for employee’s family members and friends)
• Training and qualification opportunities (access to the internal learning HUB)
• Personal development opportunities (career path, job rotation, Bring your own Project)
• Involvement in various activities supporting charity organizations (Flea markets, volunteering days, food collections)
• A relocation package for candidates coming from abroad
• Opportunities for relaxation and wellness activities (massage chair, PlayStation 5, etc.)
• Fun team events such as brunches, Health Day, and summer and holiday parties!
• At our company, we believe in creating a positive work environment that values our employees' well-being and development. If you are excited about this opportunity and want to be part of a dynamic team that cares about its employees, send us your CV in English and join us today!

As a part of Deutsche Telekom Group, we ensure not only work-life balance and international career opportunities but also personal development opportunities. We support all individuals in their performance, development, and growth. We offer a variety of trainings, qualifications, and e-learning activities to actively support the rising of common expertise.
At Deutsche Telekom Services Europe Czech Republic, we are proud to be an equal opportunity workplace and employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, uniformed services, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. We welcome applicants from all backgrounds and strive to create a workplace that is supportive, empowering, and inclusive.