Senior AI Engineer - Agentic AI & Computer Use | JobSetuu

Description

Job Overview

• Source: Arbeitnow
• Location: Munich
• Job Type: Full-Time

Job Description

Location: Hybrid (Munich-based team, 3 days/week in office); Workload: Full-time; Start: ASAP

About us

Hi, we are Jessy Works – an AI startup rethinking accounting from the ground up.

While accounting firms are struggling to find qualified staff, we build the solution: AI-powered accounting on autopilot.

Our AI assistants handle bookkeeping, routine workflows, and client communication – dramatically expanding the capacity of tax advisory firms.

Now we are looking for a Senior Software Engineer who wants to take real ownership, ship production-ready AI systems, and help scale a mission-critical product.

If you enjoy building stable systems, working close to product and founders, and using AI as a first-class development tool, keep reading.

Tasks

Build and own enterprise-grade AI systems that automate accounting and logistics operations at scale. You'll architect and deploy production AI agents using modern ML frameworks and Python infrastructure, running on cloud-native platforms with real-time document processing and automation capabilities. You feel fluent in transfering concepts with our AI researchers to production.

Core Technologies You'll Work With

AI & ML Frameworks

• Structured LLM programming frameworks for reliable AI agent development
• Multi-provider AI integration supporting major cloud AI services (OpenAI, Anthropic, etc.)
• Vector databases for production search and retrieval-augmented generation
• Distributed tracing and observability for ML operations monitoring

Backend & API Development

• Python 3.12 with modern async web frameworks for high-performance microservices
• Type-safe data modeling and validation frameworks
• Concurrent processing architectures for handling complex workflows
• Enterprise AI integration patterns and best practices

Cloud Infrastructure & DevOps

• Kubernetes orchestration on major cloud platforms
• Cloud-native services: object storage, NoSQL databases, serverless functions, email automation, OCR services
• Container orchestration with security-focused multi-stage builds
• CI/CD pipelines with automated testing and multi-environment deployment strategies

Specialized AI Applications

• Computer vision & automation for legacy system integration
• Intelligent document processing with advanced OCR and semantic analysis
• Knowledge retrieval systems for domain-specific expertise (tax, accounting, compliance)
• Multi-modal AI workflows for email, document, and structured data processing

Technical Responsibilities

Production AI Systems

• Design and implement structured AI agents for automated business process workflows
• Build knowledge retrieval systems for real-time information access and compliance checking
• Develop multi-modal AI pipelines processing diverse data types at enterprise scale
• Optimize AI model performance using advanced prompt engineering and workflow optimization

Full-Stack Development

• Build high-performance API services with comprehensive async support and type safety
• Implement vision-based automation for legacy application integration
• Create real-time document processing pipelines with advanced text extraction and analysis
• Design resilient distributed job processing systems

Infrastructure & Operations

• Deploy containerized applications on managed Kubernetes with multi-stage environments
• Implement Infrastructure-as-Code using industry-standard tools
• Build automated deployment pipelines with security scanning and validation
• Monitor production systems with comprehensive observability and alerting

Enterprise Integration

• Integrate with European accounting software and compliance systems
• Build automated email processing workflows with intelligent response generation
• Implement enterprise-grade secret management and access controls
• Design multi-tenant cloud architecture with proper security boundaries

Production Impact

You'll be building systems that:

• Process thousands of business documents daily with enterprise-grade accuracy
• Handle real-time communication workflows for logistics and accounting operations
• Automate complex interactions with legacy business applications
• Serve enterprise customers with strict compliance and security requirements
• Scale automatically with intelligent resource optimization

Required Experience

• Advanced Python with modern async frameworks and type systems
• Production ML/AI experience, preferably with LLM applications and vector search
• Container orchestration and cloud-native deployment experience
• Major cloud platform services and infrastructure management
• High-performance web frameworks and API design

Preferred Experience

• Structured AI programming frameworks and prompt optimization
• Computer vision and process automation technologies
• European business software and compliance systems knowledge
• Enterprise security and multi-tenant architecture
• Financial/accounting domain expertise

This role offers the opportunity to work with cutting-edge AI technologies in a production environment where your code directly impacts business operations and drives customer success in a highly regulated industry.

Requirements

Essential Requirements

• Senior-level experience as a Software Engineer with several years in production environments
• Expert-level Python skills - this is our primary development language
• Strong TypeScript/JavaScript proficiency for full-stack development
• Solid AI/GenAI systems background including hands-on AI inference experience
• AWS experience with serverless architectures and cloud-native development
• Infrastructure expertise with Terraform and Kubernetes (K8s)
• DevOps mindset - you build it, you run it philosophy

Technical Experience

• Experience building stable, scalable, and maintainable production systems
• At least one complete product go-live where you were actively involved
• Product launch experience and operating live systems under real user load
• Strong understanding of backend, frontend, and application architecture
• Windows OS session management knowledge for desktop automation workflows
• Java experience is a strong plus for enterprise integrations

Working Style & Collaboration

• Proven experience in sprint planning, refinement, and agile execution
• Highly self-driven, pragmatic, and solution-oriented approach
• Ability to identify and resolve impediments independently
• Experience with cross-functional collaboration and technical leadership

Language Requirements

• German language skills at minimum C1 level (spoken & written)
• You will have direct customer contact and need to communicate technical concepts clearly
• English proficiency for technical documentation and international team collaboration

Preferred Qualifications

• Experience with accounting/financial software systems
• Knowledge of German business compliance requirements
• Background in computer vision or UI automation
• Previous work in regulated industries

Benefits

• Direct collaboration with the founding team and key decision-makers
• Ownership and real impact on a core AI product
• Very very interesting tech stack with many things freshly backed from research
• Modern tech stack, AI-first development culture, and zero legacy baggage
• A product with real customer value in a massive, underserved market
• Hybrid setup with 1+2 office days per week in Munich
• Competitive compensation and long-term growth opportunities
• Fast learning curve, high trust, and minimal bureaucracy
• And yes – we celebrate wins: pizza & champagne included 🍕🍾

How to apply

• Short CV + LinkedIn profile
• 30-minute intro call – mutual fit & expectations
• Final fit call – scope, role, and start date

No cover letter.

No corporate nonsense.

Just honest engineering, real responsibility, and building something that matters.

If you want to help shape the future of AI-powered accounting with a strong founding team – we’d love to hear from you.

Find more English Speaking Jobs in Germany on Arbeitnow

Expert Career Tips for Senior AI Engineer - Agentic AI & Computer Use Roles

To succeed in a competitive market as a Senior AI Engineer - Agentic AI & Computer Use, you need more than just technical skills. Here are some expert strategies to elevate your profile:

• Build a Strong Portfolio: For technical roles, a clean GitHub or a personal project site is essential. For non-technical roles, a case study portfolio demonstrating problem-solving and impact is equally valuable. Show, don't just tell, what you have achieved in your previous positions.
• Master the Narrative: When interviewing, use the STAR method (Situation, Task, Action, Result) to structure your answers. Quantify your results wherever possible—mentioning "increased efficiency by 20%" is much more impactful than saying "improved efficiency."
• Continuous Learning: The industry moves fast. Whether it's staying updated with the latest AI tools or mastering a new management methodology, continuous professional development is key. Consider obtaining industry-recognized certifications that align with Senior AI Engineer - Agentic AI & Computer Use requirements.
• Networking: Connect with other professionals in similar roles. Join online communities, attend webinars, and engage in meaningful discussions on professional social networks. Often, the best opportunities come through referrals and community engagement.
• Soft Skills Matter: Communication, empathy, and leadership are often the deciding factors between two equally qualified technical candidates. Cultivate these skills as they are universally valued across all industries and seniority levels.

Additionally, research the specific company's culture and values. Tailoring your application to show how you align with their mission can significantly increase your chances of moving forward in the process.

Salary & Compensation

Salary not disclosed; typically competitive for the role.

Work Arrangement

Type: On-Site

Standard business hours at the office.

Comprehensive Application Strategy & Hiring Process

Applying for a new role is a marathon, not a sprint. Follow this strategic approach to maximize your success rate:

1. Initial Research & Tailoring

Don't send the same resume to every employer. Spend at least 30 minutes researching the company. Look for recent news, their product roadmap, and their team structure. Modify your summary and core competencies to reflect the specific keywords found in the job description.

2. The Perfect Cover Letter

If the application allows for a cover letter, use it to tell a story that your resume cannot. Explain why you are passionate about this specific company and how your unique background makes you the perfect fit for the challenges they are currently facing.

3. Navigating the Multi-Stage Interview

Most modern hiring processes involve 3-5 stages. This typically includes a recruiter screen, a technical or skill-based assessment, a peer interview, and a final leadership round. Prepare for each stage differently: focus on enthusiasm and fit for the recruiter, technical depth for the assessment, and strategic vision for the leadership round.

4. Post-Interview Follow-Up

Always send a personalized thank-you note within 24 hours of each interview. Reference a specific topic discussed during the call to demonstrate your active listening and genuine interest in the role.

By following these steps, you demonstrate a high level of professionalism and attention to detail that sets you apart from the average applicant.

Typical Interview Process

1. Resume screening
2. HR call
3. Skill interview
4. Final manager interview
5. Offer

Tip: Research the company's products and culture.

Global Market Intelligence & Relocation Insights

At JobSetuu, we specialize in helping talent navigate the global job market. Here is what you need to know about the current landscape in Munich and beyond:

The demand for skilled professionals is increasingly borderless. For roles based in Munich, understanding the local cost of living, visa requirements (if applicable), and cultural nuances is vital. If this is a remote role, consider the time zone alignment and the asynchronous communication culture of the hiring organization.

Relocation Support: Many forward-thinking companies offer relocation packages that include moving stipends, temporary housing, and legal assistance with work permits. When evaluating an offer, look beyond the base salary—consider the total compensation package, including equity, bonuses, and healthcare benefits.

Work-Life Balance Trends: Hybrid and remote work have become standard in many regions. Research the local labor laws and common practices regarding work hours and vacation time to ensure the role aligns with your lifestyle goals.

Leveraging JobSetuu's tools can help you compare salaries across different cities and understand the "purchasing power" of your potential offer, ensuring you make an informed decision for your long-term career path.

Skills & Competency Roadmap for Professional Development

To remain competitive in Professional Development, we recommend focusing on the following core competencies over the next 12-18 months:

• Technical Mastery: Deepen your expertise in the core tools and languages relevant to your field. For developers, this might be cloud architecture; for marketers, it might be data-driven attribution modeling.
• AI Augmentation: Learn how to leverage generative AI and automation tools to increase your productivity. Understanding how to integrate these technologies into your workflow is becoming a non-negotiable skill.
• Leadership & Strategy: Even in individual contributor roles, the ability to think strategically and lead projects from inception to completion is highly valued. Focus on stakeholder management and high-level project planning.
• Data Literacy: The ability to interpret data and use it to drive decisions is essential across all business functions. Familiarize yourself with data visualization and basic analytical concepts.

By investing in these areas, you not only prepare yourself for the role you are applying for today but also build a resilient foundation for the opportunities of tomorrow.

Apply via JobSetuu

Discover your next career milestone on JobSetuu. This Senior AI Engineer - Agentic AI & Computer Use position is part of our commitment to bringing you the most relevant and high-impact job openings globally. At JobSetuu, we simplify your job search by aggregating premier listings and providing the tools you need to stand out. Don't miss the chance to elevate your professional journey—explore more opportunities and career insights on our platform today.