Senior Services Solution Engineer

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AppLogic Networks powers the networks behind AI and the critical applications people rely on every day. We help network owners service providers and Enterprises understand how applications perform, how users experience them, and where action is needed to improve quality, efficiency, security, and profitability. Our software combines application intelligence, experience visibility, contextual insights, and real-time control to help customers elevate observability and do more with the networks they already run. As AI reshapes how the world works, connects, and communicates, AppLogic Networks helps ensure modern applications run smoothly across any network, from the consumer edge to the data center. Join our team and help build the software that makes networks smarter, more adaptive, and ready for what comes next.

The Role

Solutions Engineers at AppLogic Networks are smart passionate people able to solve complex problems and implement solutions with the most robust, high-quality solutions. They also use AI and automation to work faster and to build smarter, more adaptive customer solutions. We are open to candidates based in Sweden or Poland, and we welcome applications from either country.

What you will do

• Partner with technical teams to design and implement solutions, from first concept to delivery.

• Lead Proofs of Concept, taking them from idea to prototype.

• Write high-quality code in a rapid, agile environment.

• Build AI-enabled proofs of concept and integrations, such as ML-based traffic classification, anomaly detection, and LLM-powered analytics and automation, using network and application data.

• Use AI coding assistants and LLM tools to speed up development, troubleshooting, testing, and documentation, and review their output critically.

• Contribute to architecture and design decisions, and help set delivery priorities and timelines.

• Evaluate technical options, select the best one, and move the work forward.

• Manage competing deadlines and customer requests with discipline.

• Bring novel ideas that solve technical problems, and communicate vision and progress clearly to people at every level.

• Help customers understand how AI workloads and AI-driven applications affect their networks, and how to monitor, secure, and optimize them.

What you bring

• Linux in production: Hands-on experience configuring and troubleshooting Ubuntu and Red Hat systems.

• Networking depth: A working understanding of IP and TCP/IP, plus protocols including RADIUS, DNS, Diameter, and DHCP.

• Programming and scripting: Practical experience with Python, Bash, or a similar language, applied to real problems.

• AI and machine learning fundamentals: Practical experience applying AI/ML or LLMs to real problems. This could include Python ML libraries (such as scikit-learn, pandas, or PyTorch), calling LLM APIs, prompt engineering, or building simple automation and agent workflows.

• AI-assisted engineering: Comfort using tools like GitHub Copilot, ChatGPT, or Claude in daily work, with sound judgment on accuracy, data privacy, and security.

• Virtualization: Familiarity with KVM and VMware environments.

• Experience: 5+ years in a similar technical or solutions engineering role, or equivalent practical experience.

• Education: A degree in Engineering, Computer Science, or Mathematics, or equivalent experience.

Nice to have

• Experience with Ansible, Docker, or OpenStack

• Packet-level debugging with Wireshark, tcpdump, or similar tools

• Background in telecom, ISP, or cable networks, including exposure to policy or charging systems

• Experience with Kubernetes or MLOps tooling for deploying and monitoring models

• Familiarity with RAG, vector databases, or agent frameworks (such as LangChain or LlamaIndex)

• Understanding of network telemetry and flow data (such as IPFIX or NetFlow) as inputs for ML and analytics

• Knowledge of AI infrastructure and traffic patterns, such as GPU clusters, inference traffic, and AI application performance

Work conditions

• Fast-paced office environment

• Occasional overtime or split shifts when deadlines require it

• Travel of 5% to 10%, based on business need

Why AppLogic Networks

• Innovative application intelligence and network optimization platform.

• Opportunity to help organizations optimize the networks supporting AI, cloud, and critical applications.

• Direct access to executive leadership.

• High-growth market opportunity.

• Hands-on opportunity to apply AI to real-world network and application data at scale.

• Ability to shape and influence a rapidly growing enterprise business.

• Competitive compensation, benefits, and career advancement opportunities.