Backend Engineer
Forward Deployed Engineer (m/f/d)
Munich
Apply on the employer's siteRole description
đ Become our new
Forward Deployed Engineer (m/f/d)
As a
Forward Deployed Engineer (m/f/d)
, you will lead the hands-on implementation of AI-driven solutions in complex customer environments.
You combine deep expertise in
NLP, LLMs, and speech technologies
with strong software engineering skills to build robust, scalable, and production-ready systems. Working closely with customers and internal teams, you translate business processes, decision logic, and data flows into real-world AI applications â from intelligent assistants and speech-enabled systems to enterprise-grade integrations on Azure.
This is a
hands-on, AI-first, delivery-focused role
with strong ownership of technical quality, scalability, and operational excellence.
Your Responsibilities
Understand the Domain
- Analyze and structure business processes, decision logic, and data relationships.
- Challenge assumptions and refine requirements together with customers and stakeholders.
- Translate complex domain needs into clear, implementable technical solutions.
Build AI Solutions End-to-End
- Design and implement AI systems with a strong focus on
NLP, LLMs, and speech models
. - Build agentic workflows, orchestration layers, tool integrations, and decision logic.
- Develop end-to-end solution flows that combine AI capabilities with backend and platform components.
- Apply structured LLM patterns such as tool calling, schema-validated outputs, retries, fallbacks, and guardrails.
- Integrate AI services into enterprise environments and production systems.
Own Software Engineering Quality
- Actively implement core application and integration logic â this is not a design-only role.
- Build maintainable, testable, and production-ready software in Python.
- Use modern engineering practices to ensure reliability, observability, security, and cost awareness.
- Improve development speed and quality through automation, testing, and AI-assisted engineering workflows.
Deliver in Customer Environments
- Work directly with customers in workshops, implementation sessions, and delivery phases.
- Drive technical solutioning together with Engineering Managers, Cloud AI Architects, and QA.
- Contribute to architecture decisions while maintaining a strong execution mindset.
- Take ownership of successful deployment and integration in real-world environments.
What Weâre Looking For
Core Profile
- Very senior, hands-on engineer with strong experience in applied AI and software engineering.
- Strong AI-first mindset, with sound judgment on when AI â and especially LLMs â should or should not be used.
- Strong ownership mentality and delivery focus.
- Solid engineering practices with Git and CI/CD (Azure DevOps, GitHub, or GitLab).
- Production mindset: reliability, observability, security, and cost control.
- For candidate based in Germany - business-level German and English. For Candidate based in Portugal - Business-level English
AI / Applied ML Expertise
- Strong hands-on experience with
NLP, LLMs, and speech models
. - Experience building production-grade solutions using LLMs, including structured orchestration, tool calling, and schema validation.
- Experience designing agent-based or multi-agent systems.
- Ability to implement retries, fallbacks, guardrails, and monitoring for AI systems.
- Strong understanding of the practical trade-offs of latency, quality, cost, and reliability in AI applications.
Software Engineering & Integration
- Excellent
Python
skills. - Strong experience with
parallel and asynchronous programming
. - Experience with modern Python frameworks and tooling, ideally including
FastAPI, async IO, and Pydantic
. - Experience building production APIs and integrations, including error handling, retries, timeouts, and logging.
- Ability to design clear service contracts and integrate multiple internal and external systems.
- Strong software engineering fundamentals, including clean architecture, testing, and maintainability.
Cloud & Infrastructure
- Strong understanding of infrastructure and deployment patterns on
Azure
. - Experience operating solutions in enterprise Azure environments, including topics such as
Managed Identity, Key Vault, monitoring, and basic networking
. - Experience with scalable deployment and integration of AI workloads in cloud environments.
- Experience with
Databricks
is a plus.
System Thinking
- Ability to design end-to-end AI solution architectures, including orchestration, session/state handling, and system boundaries.
- Thinks beyond models: understands platform constraints, integration challenges, and operational requirements.
- Considers latency, resilience, observability, and tool-call minimization from day one.
Why Join Us?
- Exciting AI projects
â work with cutting-edge technologies across Azure, OpenAI, Databricks, and more. - High-performance culture
â we are looking for doers who want to create real impact. - Fast learning and career growth
â benefit from top-tier training, certifications, and hands-on exposure to advanced AI delivery. - Innovative company culture
â we value hands-on execution, team spirit, and AI-driven excellence. - Broad ecosystem
â we work closely with partners, startups, and a strong network across the AI and cloud landscape.
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