AI & Automation Lead

Job Description

Job Role

The Generative AI & Automation Engineer will be responsible for integrating AI capabilities in our intelligent solutions. This includes large language models (LLMs) such as GPT and Gemini, Retrieval-Augmented Generation (RAG) techniques and other AI services from Vodafone and cloud providers. Key aspects of this role are strong coding skills and expertise in software development. In addition, the willingness to work in the field of prompt engineering, creating and refining prompts to optimize the performance and relevance of LLM outputs, is relevant. The position focuses on consuming and integrating pre-trained AI models, cloud-based AI services in custom solutions to automate complex tasks, optimize business processes, and enhance decision-making capabilities.

Key accountabilities and decision ownership

Software Development:

Set standards for development and develop reusable software.

Create backend services that drive applications and solutions.

Define interfaces and software architecture to implement a microservice based landscape.

Collaborate with a growing community and give support.

Prompt Engineering:

Develop and refine prompts to enhance the accuracy and relevance of responses from LLMs.

Work closely with stakeholders to understand requirements and design effective prompt strategies.

Integration of AI Models and Cloud Services:

Utilize large language models (LLMs) like GPT and Gemini and integrate them into various applications.

Implement Retrieval-Augmented Generation (RAG) techniques and utilize vector DBs to enhance AI-driven solutions.

Implementing AI model orchestrators within backend services.

Leverage AI services provided by cloud platforms (e.g. Azure) for state-of-the-art applications.

Development of Automation Solutions:

Design and develop custom automation solutions based on specific business requirements.

Collaborate with cross-functional teams to identify opportunities for automation and gather necessary requirements.

Integrate AI models, cloud AI services, and custom automation solutions into existing systems and platforms.

Core competencies, knowledge and experience

• graduation degree in technology

• working in international, distributed teams

• Experience of working on projects that span multi-disciplinary areas of differing size and complexity to meet business expectations and deliver results.

• confident and able to liaise and influence at all levels within Vodafone and/or relevant customer organizations

• excellent organization and prioritization skills with demonstrable experience of the production of plans to describe stage, phase, dependency and milestones

Must have technical / professional qualifications:

6 years of over all experience and 4 years as a senior.

Proficiency in Python.

Fast APIs

Dijango

Python Backend

Experience with large language models (LLMs) like GPT and Gemini and their prompt engineering.

Experience with API integration and deployment of pre-trained models.

Experience with API integration and consumption with various applications.

Experience of Retrieval-Augmented Generation (RAG) techniques & Vector DBs.

Experience with AI services from cloud providers (AWS, Azure, GCP).

Familiarity with RPA & automation tools (e.g., UiPath, Power Automate).

Familiarity with cloud platforms, containerization and operating systems (AWS, Kubernetes, Linux).