Software Engineer

Who we are

VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation.
As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability.
We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.
#VOIS #BeUnrivalled #CreateTheFuture

About this Role

What you’ll do

• Design, develop and test AI solutions using machine learning, deep learning, NLP, computer vision, Generative AI and Agentic AI techniques.
• Develop and integrate LLM-based applications, prompt patterns, RAG pipelines and AI workflows into enterprise systems and platforms.
• Build, optimise and maintain AI software to process large datasets, improve prediction accuracy and deliver reliable business outcomes.
• Architect scalable, secure and maintainable AI pipelines across cloud, on-premise and hybrid infrastructure.
• Expose and consume standardised tools and capabilities through APIs, MCP Servers and reusable integration patterns.
• Enable interoperability across AI models, agents, services and enterprise platforms.
• Evaluate and integrate open-source and proprietary AI tools, model providers and automation frameworks.
• Support functional and non-functional testing, including model evaluation, performance, reliability, security and user acceptance testing.
• Prepare release packages for test and production environments.
• Contribute to deployment, monitoring, observability and lifecycle management of AI solutions.
• Investigate and resolve defects, incidents and problems during development and application lifecycle, including Level 2 and Level 3 support where applicable.
• Collaborate with product, engineering, data, security and business teams to identify, assess and prioritise impactful AI use cases.
• Translate business requirements into technical solutions and explain technical implications, risks and trade-offs to non-technical stakeholders.
• Collect, organise and present progress updates, technical recommendations and lessons learned to team leadership and stakeholders.
• Ensure AI solutions follow responsible AI, privacy, security, compliance and data protection standards.
• Implement controls against data leakage, prompt injection and misuse.
• Monitor emerging AI trends, tools, regulations and market developments, proactively recommending relevant improvements or new applications.
• Contribute to reusable engineering practices, documentation, standards and knowledge sharing across AI delivery teams.
• Support onboarding and integration of new team members by preparing and running knowledge-transfer sessions.
• Build technical redundancy within the team by writing, sharing and explaining technical documentation, operating procedures and solution architecture.
• Participate in team, department and company initiatives, strategic projects and cross-cutting objectives.
• Provide technical support, mentoring and guidance to fellow team members.

Who you are

• Proven experience developing, deploying and supporting AI, machine learning or Generative AI solutions in production environments.
• Strong understanding of machine learning concepts, deep learning, NLP, computer vision, LLMs, prompt engineering, RAG and model evaluation techniques.
• Experience across the AI solution lifecycle, including functional design, prototyping, testing, deployment, monitoring, support and continuous improvement.
• Good knowledge of software engineering principles, algorithms, object-oriented and functional design, API development and best-practice implementation patterns.
• Experience working with large datasets, data analysis, statistical methods and data quality considerations.
• Understanding of scalable, secure and compliant AI architectures, including cloud-native services, microservices, integration patterns and observability.
• Ability to collaborate cross-functionally with product, data, platform, security, operations and business stakeholders in a complex matrix environment.
• Strong communication, presentation and analytical skills, with the ability to translate technical concepts into clear business language.
• Track record of taking initiative to solve complex engineering problems, improve delivery practices and support product or service improvements.
• Ability to learn fast-evolving AI technologies, prioritise workload and operate effectively in high-availability or regulated environments.
• Commitment to continuously developing technical knowledge and skills, including at senior level.
• University degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Telecommunications or equivalent professional experience.
• Proficient in English, both spoken and written.Strong programming skills in Python.
• Experience with Java, C++ or other AI and software development languages would be advantageous.
• Hands-on experience with deep learning and machine learning frameworks such as TensorFlow, PyTorch or equivalent.Experience with LLM providers and platforms such as OpenAI, Anthropic, Azure OpenAI or equivalent, including provider abstraction where applicable.
• Knowledge of RAG, vector databases, prompt engineering, model evaluation, agentic patterns and multi-agent topologies.
• Experience exposing or consuming MCP Servers and implementing standardised tools or capability interfaces for AI systems would be advantageous.
• Experience building REST APIs, cloud-native microservices and integrations using SOAP, REST JSON or equivalent communication protocols.
• Understanding of Docker, Kubernetes, CI/CD tools and modern software delivery practices.
• Knowledge of security and compliance controls such as OAuth2/OIDC, secret management, network isolation, PII controls and responsible AI guardrails.

Not a perfect fit?

Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.

What's in it for you

• Hybrid way of working
• Medical and dental services
• Life and hospitalization insurance
• Dedicated employee phone subscription
• Take control of your benefits and choose any of the below options: MEAL TICKETS/ PRIVATE PENSION/ VACATION VOUCHERS/ CULTURAL VOUCHERS within the budget.
• Special discounts for gyms and retailers
• Annual Company Bonus
• Loyalty Programme
• Ongoing Education – we continuously invest in you to ensure you have everything needed to excel on the job and enhance your skills
• You get to work with tried and trusted web-technology
• Getting in on the ground floor of a technology changing company
• We let you write your own story by planning vacations: go for a trip, experience new things, have fun and enjoy your 23 days off.
• Special Paternal Program - 4 months of paid paternity leave

What skills you will learn

• Advanced design and implementation of enterprise AI, Generative AI and Agentic AI solutions.
• Practical application of LLM-based architectures, prompt patterns, RAG workflows and multi-agent topologies.
• Development of scalable AI pipelines, APIs, microservices and reusable integration patterns.
• Production AI lifecycle practices, including model evaluation, testing, deployment, monitoring, observability and incident support.
• Secure and compliant AI engineering, including responsible AI guardrails, PII controls, prompt injection mitigation and data leakage prevention.
• Cloud-native and hybrid AI architecture practices using containers, Kubernetes and CI/CD tools.
• Cross-functional stakeholder engagement, technical communication, mentoring and knowledge-transfer capabilities.

VOIS Equal Opportunity Employer Commitment

Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background. 

Join Us

At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.
We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.
With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.

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