Artificial Intelligence Engineer

Title : AI Engineer

Seniority : Graduate / Junior

Location : Noida, India

Description & Requirements :

Position Summary :

The graduate AI Engineer is responsible for developing innovative technical solutions, integrating generative AI technologies. This graduate role requires a basic understanding of modern technical and cloud-native practices, AI, and DevOps. You will support a wide range of customers through the "Ideation to MVP" journey, demonstrating eagerness to learn and contribute to a dynamic and innovative team.

Key Responsibilities :

Technical & Engineering Leadership :

- Develop solutions leveraging GenAI technologies, integrating AI capabilities into cloud-native architectures.

- Assist in the design and implementation of GenAI-driven applications, ensuring integration with microservices and container-based environments.

- Create solutions that leverage the capabilities of modern microservice and container-based environments running in public, private, and hybrid clouds.

- Collaborate on technical projects with partners, including Google, Microsoft, AWS, IBM, Red Hat, Intel, Cisco, and Dell/VMware.

Service Delivery :

- Support the engineering of GenAI solutions from ideation to MVP, ensuring performance and reliability within cloud-native frameworks.

- Assist in optimizing AI models for deployment in cloud environments, balancing efficiency and effectiveness to meet client requirements and industry standards.

- Contribute to the assessment of existing solutions and recommend technical treatments to transform applications with cloud-native/12-factor characteristics.

Innovation & Initiative :

- Support the adoption of GenAI technologies within cloud-native projects, enhancing AI integration in cloud services.

- Engage in technical innovation and support position as an industry leader.

- Contribute to authoring whitepapers, blogs, and speaking at industry events.

- Maintain hands-on technical credibility, stay ahead of industry trends, and contribute to team learning.

Client Relationships :

- Assist in providing guidance to clients on incorporating GenAI and machine learning into their cloud- native systems, ensuring best practices and strategic alignment with business goals.

- Participate in workshops and briefings to educate clients on the benefits and applications of GenAI, establishing strong, trust-based relationships.

- Contribute to technical projects (PoCs and MVPs) with a focus on technical excellence and on-time delivery.

Mandatory Skills & Experience :

- A newly graduated developer with experience in Java or Python.

- Basic understanding of software development and exposure to AI/ML technologies.

- Knowledge of GenAI frameworks : Familiarity with using GenAI frameworks and libraries such as OpenAI API.

- Understanding of prompt engineering: Basic experience in designing and optimizing prompts for AI models to achieve desired outputs.

- Strong verbal and written communication skills (English).

- Positive and solution-oriented mindset.

- Willingness to learn and grow within an Agile and Scrum project management environment.

Desired Skills & Experience :

- Basic understanding of NLP techniques and tools, including tokenization, embeddings, transformers, and language models.

- Interest in data engineering for AI : Eagerness to learn about data preprocessing, feature engineering, and creating pipelines to feed AI models with high-quality data.

- Familiarity with AI ethics and bias mitigation : Knowledgeable about ethical considerations in AI and eager to implement strategies to mitigate bias.

- Basic understanding of cloud-native technologies and DevOps practices..

- Willingness to pursue cloud and technical certifications, ideally including AI/ML specializations from providers like Google, Microsoft, AWS, Linux Foundation, IBM, or Red Hat.