Benefits

Job Description

Responsibilities

Pre-Sales & Solution Support:

Partner with the Solution Architect team to understand and analyze business problem statements from clients.
Assist in pre-sales activities, including technical proposals, proof-of-concepts (PoCs), and solution demos.
Research and develop AI-driven prototypes, showcasing the capabilities of NLP, Large Language Models (LLMs), and Cloud AI solutions.

Solution Development & Implementation:

Work with senior engineers to design and deliver AI-powered software solutions that align with business needs.
Implement and fine-tune NLP models for real-world applications such as chatbots, document automation, and intelligent search.
Deploy AI solutions on cloud platforms (Azure, AWS, GCP), ensuring scalability, security, and efficiency.
Support in integrating AI models with enterprise systems and APIs.

Collaboration & Knowledge Sharing:

Work in cross-functional teams, collaborating with developers, data scientists, and pre-sales engineers.
Proactively participate in discussions, presenting ideas clearly in English to both technical and non-technical stakeholders.
Stay up to date with the latest AI trends, continuously exploring ways to enhance our solution offerings.

Requirements

Must-Have:

Certified minimum N3.
Final-year student or recent graduate in Computer Science, Artificial Intelligence, Data Science, or a related field.
Strong knowledge of NLP, including Large Language Models (LLMs), OpenAI, Hugging Face, or LangChain.
Solid experience in software engineering (Python, JavaScript, or related programming languages).
Proactive and confident speaker, with fluent English communication skills (both verbal and written).
Strong analytical and problem-solving skills, with a mindset to turn complex business problems into AI-driven solutions.
A self-starter, eager to learn and take initiative in a fast-paced environment.