APPLIED AI SOFTWARE DESIGNER

Reposted 5 Hours Ago
Be an Early Applicant
Ottawa, ON, CAN
Hybrid
85K-111K Annually
Mid level
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
We are shaping the future of digital connectivity the world relies on.
The Role
Design and develop software for 5G and 6G wireless systems, RAN platforms, distributed telecom architectures, and cloud-native applications. Develop AI/ML and GenAI capabilities using LLMs, RAG, agents, and knowledge systems for telecom analytics and automation. Collaborate with architects, developers, data scientists, and global engineering teams on integration, optimization, validation, software quality, and production deployments.
Summary Generated by Built In
Join our Team
At this time, Ericsson Canada Inc. does not provide immigration assistance/sponsorship now or in the future for this position.
About the Opportunity
At Ericsson, we are transforming how large-scale software systems are understood, designed, developed, tested, and maintained through Generative AI and agentic software engineering.
We are seeking an Applied AI Software Designer with 2-4 years of software engineering experience and hands-on experience applying AI to developer workflows. You will use Large Language Models (LLMs), AI agents, knowledge systems, and software-analysis tools to enable agentic design and development across large, complex existing codebases.
You will build practical AI-driven engineering solutions, reusable tools, and knowledge foundations that improve developer productivity, software quality, and engineering efficiency across Ericsson's 5G/6G systems. Working closely with software developers, architects, AI specialists, and domain experts, you will help turn emerging AI capabilities into reliable, secure, and reusable engineering solutions.
What you will do:
Agentic Software Engineering & Code Understanding
• Design and develop agentic workflows covering feature design, code implementation, debugging, test generation, code review, refactoring, documentation, and impact analysis.
• Build RAG, context engineering, and knowledge engineering solutions that provide agents with relevant source code, architecture, requirements, documentation, and domain knowledge.
• Combine LLM-based reasoning with deterministic software analysis, including code indexing, dependency analysis, call relationships, static analysis, and code graphs.
• Integrate coding agents with source control, CI/CD pipelines, testing environments, APIs, and engineering knowledge sources using tool calling, MCP, and specialized agents where appropriate.
• Develop validation approaches for AI-generated code and engineering outputs, addressing correctness, grounding, traceability, and reliability.
• Identify high-value engineering use cases, prototype solutions, evaluate their impact on development efficiency and quality, and productionize successful approaches.
• Measure the usability, adoption, and impact of these solutions on development efficiency and software quality.
AI Developer Tools and Reusable Engineering Foundations
• Develop reusable AI tools, components, agent workflows, and integration patterns that can be adopted across multiple engineering teams.
• Integrate AI capabilities into developer environments, coding assistants, repositories, and existing engineering workflows.
• Contribute to the development of AI-enabled developer platforms, tool registries, knowledge services, and agentic development environments.
• Identify opportunities to improve software reuse, reduce duplicated engineering effort, and standardize effective AI-assisted development practices.
• Apply these capabilities to large-scale C/C++ and Python systems, considering complex architectures, interfaces, dependencies, and cross-component interactions.
Quality, Security and Responsible AI Engineering
• Develop repeatable benchmarks and evaluation methods to assess AI agent accuracy, reliability, and effectiveness across representative engineering tasks.
• Analyze agent failures and knowledge gaps, and improve context, retrieval, tools, and workflows through iterative experimentation.
• Integrate appropriate security, access-control, data-protection, intellectual-property, and compliance considerations into AI-enabled engineering workflows.
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• Apply software quality practices, automated testing, and CI/CD integration to validate AI-generated outputs and maintain reliable engineering solutions.
• Contribute to reusable standards and guardrails that support safe, consistent, and responsible AI adoption.
Collaboration, Adoption and Continuous Improvement
• Collaborate with developers, architects, AI specialists, and domain experts to identify high-value use cases and translate engineering needs into practical solutions.
• Evaluate and measure the impact of AI-driven workflows on development productivity, software quality, engineering effort, and developer experience.
• Gather feedback from users and continuously improve the usability, reliability, and adoption of AI-enabled tools.
• Contribute to the design and development of AI-native applications for 5G/6G systems.
The skills you bring:
• Bachelor's or Master's degree in Computer Science, Software Engineering, Electrical Engineering, AI/ML, or a related technical field.
• 2-5 years of software engineering experience developing embedded software for wireless Layer 2 (L2) protocol stacks in 3GPP-based cellular systems, particularly 5G/6G baseband platforms.
• Strong programming skills in C/C++ and Python.
• Practical experience with RAG, context engineering, or knowledge engineering for AI-assisted development.
• Strong software engineering fundamentals, including architecture, code design, testing, debugging, version control, CI/CD, and code review.
• Strong analytical, problem-solving, communication, and collaboration skills.
• Hands-on experience building and integrating agentic workflows for software engineering.
• Experience deploying and supporting AI-enabled tools in production engineering environments.
• Experience evaluating coding agents and LLM-generated outputs for correctness, reliability, and task completion.
• Knowledge of telecommunications, RAN, 5G/6G is an asset.
• Familiarity with 3GPP specifications relevant to 5G NR and RAN software development.
• 2-5 years of software engineering experience developing embedded software for wireless Layer 2 (L2) protocol stacks in 3GPP-based cellular systems, particularly 5G/6G baseband platforms
What We Offer
• Opportunity to shape how AI and coding agents are used in large-scale production software engineering.
• Hands-on work with real engineering challenges that go beyond standalone code generation, including architecture, dependencies, design intent, and domain knowledge.
• Collaboration with experienced engineers, architects, AI specialists, and global R&D teams.
• Exposure to telecom software platforms and emerging 5G and 6G systems.
• Continuous learning and long-term career development in applied AI, agentic engineering, software architecture, and developer tooling.
Why Join Us
Help bring agentic software engineering into real-world development at scale. If you are passionate about applying AI to the challenges of understanding and evolving complex software, we encourage you to join our team.
Why join Ericsson?
At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.
Ericsson uses a merit-based hiring approach that values people with different experiences, perspectives and skillsets. We truly believe this approach drives innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity employer, learn more.
If you need assistance or to request an accommodation due to a disability, please contact Ericsson at [email protected].
DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned.
Primary country and city: Canada (CA) || Ottawa (Country/ City)
Job details: Developer
Compensation and Benefits at Ericsson
At Ericsson, we know that our people are the key to our success. We offer a competitive package to help with your individual needs and goals.
Your Pay
The salary offered is dependent on various factors including, but not limited to, location, and the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience.
The salary range for this position is
• LOCATION: $85,000CAD - $111,300CAD
Short-Term Variable Compensation Plan: Your pay also includes the opportunity for an annual bonus. Actual bonus payouts are based on performance of the business against the unit's objectives, individual performance, and the individual bonus target. Certain eligibility and pro-ration rules apply.
Your Health
Ericsson offers excellent health benefits including the choice of 3 medical and dental plan options that allow an employee to select the level of coverage that suits their needs. Core level coverage is paid for fully by Ericsson.
Your Financial Security
We invest in both your short and long-term financial wellbeing. Ericsson's Group Retirement & Savings Program offers an automatic 2% company contribution into the Pension Plan. Ericsson also offers a 50% match of employee's contribution into the Registered Retirement Savings Plan, up to 8% of the employee's contribution (maximum of 4% match). This leads to a total company contribution potential of 6%. Employees will also basic life insurance and basic accidental death and dismemberment coverage at two-times annual base pay at no cost, as well as short-term disability coverage. Employees also have the option to participate in Ericsson's Stock Purchase Plan.
Your Time
Your work-life balance is important to us. New employees are provided a minimum of 18 days of accrued vacation, at least 3personal days, minimum 10 holidays, 1 volunteer day, and sick days. Please note paid time off is pro-rated based on the employee's start date. Furthermore, Ericsson provides up to 10 weeks of paid maternity leave and 6 weeks of parental or adoption leave at 100% of pay.
Additional Benefits
Ericsson offers many other company-paid benefits such as financial wellness programs, educational assistance, matching gifts, wellness account, and recognition programs.
#BI-Hybrid

Skills Required

  • Bachelor's or Master's degree in Computer Science, Software Engineering, Electrical Engineering, Telecommunications, AI/ML, or a related field
  • 3-5 years of experience in wireless systems
  • Hands-on exposure to cloud-native software and AI/ML-driven solutions
  • Strong programming skills in C/C++ and Python
  • Experience with distributed systems, software design, and scalable application development
  • Understanding of wireless technologies, 5G NR systems, telecommunications, or networking concepts
  • Experience with containers, Kubernetes, microservices, or virtualization platforms
  • Experience with AI/ML and Generative AI technologies, including LLMs, RAG, AI agents, knowledge engineering, and Python-based AI/data frameworks
  • Strong analytical, problem-solving, communication, and collaboration skills
  • Experience with Open RAN technologies
  • Familiarity with TensorFlow, PyTorch, LangChain, or similar AI/ML frameworks
  • Experience with Docker and public cloud platforms such as AWS, Azure, or GCP
  • Knowledge of distributed data platforms or analytics technologies
  • Exposure to performance optimization, observability, and operational monitoring in production systems
  • Experience contributing to large-scale or carrier-grade software deployments

What the Team is Saying

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Ericsson Compensation & Benefits Highlights

  • Retirement Support — An automatic employer contribution of 3% plus up to 4% in matching is outlined for U.S. employees, enabling a potential 7% total employer contribution subject to plan rules. Feedback suggests this is a standout element of the package.
  • Leave & Time Off Breadth — The U.S. package specifies at least 15 vacation days for new hires, up to 3 personal days, 11 holidays, and 80 hours of sick time, with flexibility noted in taking time away. Feedback suggests time‑off breadth and usability are strong points.
  • Parental & Family Support — Published materials describe up to 16 weeks of paid maternity leave and 6 weeks of paid parental or adoption leave at 100% of pay, subject to eligibility. Feedback suggests these policies provide meaningful support for families.

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The Company
HQ: Stockholm
88,000 Employees
Year Founded: 1876

What We Do

Ericsson builds the digital connectivity the world relies on. Our technology underpins the mobile networks, platforms, and systems that billions of people, businesses, and societies depend on every day. We are a global leader in communications technology, delivering mobile network infrastructure, cloud software, and wireless connectivity solutions for service providers and enterprises worldwide. Our networks support connectivity across 180+ countries, helping power everyday communication as well as critical digital services at global scale. Connectivity has evolved far beyond consumer mobile use. Today, nearly 80% of the world’s population accesses the internet via mobile networks, and Ericsson is helping shape what comes next. We are advancing 5G and 5G Advanced, developing network APIs that open connectivity to the global developer ecosystem, and applying automation and AI to make networks more intelligent, efficient, and resilient. Ericsson was the first company to launch live 5G networks on five continents, and our 5G platform is now commercially live in 150+ networks across 60+ countries. We also support more than 36,000 enterprise customers, enabling secure, high-performance connectivity for industries such as manufacturing, aviation, logistics, utilities, and public safety, where reliability and performance are mission critical. Innovation is central to how we work. Ericsson has approximately 28,000 employees in research and development, backed by one of the strongest intellectual property portfolios in the industry with 60,000+ granted patents. Our engineers, researchers, and technologists work across 100+ global R&D sites, helping define how networks evolve and how digital infrastructure is built for the long term. As the world moves toward a mobile-first, AI-powered, and cloud-driven future, connectivity becomes the foundation for digital transformation across every industry. Ericsson is building that foundation, shaping the future of digital connectivity through technology that operates at global scale and supports real-world impact, today and for what comes next.

Why Work With Us

Ericsson is a place for people who want to work on technology that powers everyday life. You’ll contribute to large-scale systems used every day, tackle complex challenges in live environments, and keep developing your skills and career in your own vision.

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Ericsson Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Ericsson adopts a hybrid work model globally because we know balance matters. Sometimes things are better in real life. Other times we can be more productive at home. Our hybrid approach gives you the best of both worlds.

Typical time on-site: Flexible
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