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, | Full-time | Partially remote
AXON Networks delivers a robust AI-driven, analytics-based orchestration platform and a wide portfolio of next-gen high-speed routers that leverage the newest Wi-Fi technologies. Together, these technologies give ISPs the ability to manage and troubleshoot their networks in real time, and to deliver an outstanding customer experience.
AXON Networks is a trusted strategic partner for its customers, helping them evaluate their current technologies and business models, and creating and executing strategies that enable them to innovate faster, accelerate their digital transformations, and strengthen their relationships with consumers.
AXON Networks is headquartered in Irvine, CA USA with Asia HQ in Singapore and also operating in Denmark, Spain and Vietnam.
AXON Networks is seeking a Data Engineer, focused on enhancing access networks for global ISPs like DT, Telefonica, and LLA.
Job Overview
The Lead Python Developer – LLM Agents for Network Assurance is the principal technical leader responsible for architecting, guiding, and delivering AI-driven agent solutions that
enhance network reliability, operational workflows, and diagnostics for Internet Service Providers (ISPs).
This role combines deep Python expertise, strong system design skills, and advanced understanding of LLM technologies to drive the development of scalable and production-ready
agent solutions. As the technical lead, you will own architectural decisions, mentor team members, coordinate development efforts, and ensure high-quality implementation across the
entire agent stack.
The ideal candidate excels in driving innovation, ensuring engineering quality, collaboratingacross domains, and converting complex network challenges into intelligent automated systems.
Responsibilities:
Technical Leadership & Architecture
- Define the architectural vision for Python-based LLM agents and supporting backend systems.
- Lead end-to-end design of agent frameworks, orchestration layers, and operational integration points.
- Establish best practices in code quality, testing, observability, and reliability across the team.
- Provide technical guidance, conducting reviews, and ensuring the consistency of engineering standards.
AI Agent Development & Advanced Integration
- Architect, develop, and optimize LLM-powered agents for troubleshooting, fault detection, and workflow automation.
- Lead complex integrations with monitoring systems, telemetry pipelines, dashboards, and operational tools.
- Define strategies for prompt engineering, fine-tuning, model evaluation, and multi-agent coordination.
- Ensure agent solutions meet production-grade performance, reliability, and scalability requirements.
Cross-Functional Collaboration & Solution Ownership
- Work closely with network engineers, product teams, and operations groups to identify automation opportunities.
- Translate business and operational needs into technical designs and implementation roadmaps.
- Drive alignment across stakeholders and ensure timely and high-quality delivery of agent capabilities.
- Participate in company-wide architectural discussions related to AI, backend systems, and network assurance.
Mentorship & Team Development
- Mentor senior and junior developers, supporting their growth in Python engineering, LLM concepts, and system design.
- Support team planning, technical decision-making, and onboarding of new team members.
- Promote a culture of learning, innovation, and engineering excellence.
Documentation & Strategy
- Document system architectures, model behavior, and deployment practices.
- Contribute to AI strategy, technology selection, and roadmap planning.
- Ensure solutions are reproducible, maintainable, and ready for scaling.
Key Metrics for Success
- Delivery of robust, scalable, and high-performing agent architectures.
- Significant reduction in manual operational tasks via automated agent workflows.
- Improvements in diagnostic accuracy, reliability, and agent intelligence.
- High satisfaction from cross-functional stakeholders and operations teams.
- Increased velocity and quality of the development team through mentorship and leadership.
- Clear contribution to long-term AI and automation strategy
Requirements:
Education & Experience
- Bachelorʼs or Masterʼs degree in Computer Science, AI/ML, Engineering, Networking, or related fields.
- Extensive experience in backend software development with Python.
- Demonstrated experience leading technical teams or major technical initiatives.
- Practical experience with LLMs, fine-tuning, or AI-driven application development
- Expert-level proficiency in Python (system design, backend services, AI/ML workflows).
- Strong understanding of modern LLM frameworks (OpenAI, Anthropic, Google, Hugging Face, etc.).
- Deep experience with API development, microservices, and platform integrations.
- Proven experience architecting and shipping production systems at scale.
- Strong knowledge of CI/CD, automated testing, monitoring, and observability practices.
- Ability to design reliable systems that interact with telemetry, logging, and monitoring tools.
Soft Skills
- Strong leadership skills with the ability to drive architectural decisions.
- Excellent communication and stakeholder management abilities.
- Ability to collaborate across AI, backend, network engineering, and operations.
- Proactive, strategic mindset with ownership of outcomes.
- Ability to mentor and elevate the technical capabilities of the team.
Nice to have
- Understanding of networking concepts (IP, DNS, routing, network telemetry).
- Experience building or fine-tuning AI/ML/LLM models.
- Background with distributed systems and real-time data processing.
- Experience in network assurance, ISP operations, or telecom systems.
Benefits:
- Competitive remuneration package
- Health insurance
- Pension Scheme
- Flexi time, hybrid work
- Friendly office environment (pool table, darts board and gaming corner)
- Daily catered lunch, sodas, coffee, snacks, etc.
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