Description:

We are a growing team of 40+ innovators, led by a founding team with expertise in AI, data analytics, and product development. Our culture thrives on experimentation, rapid prototyping, and innovation, allowing AI engineers to directly shape intelligent products at scale.

Responsibilities:

- Design and implement AI-driven solutions across domains such as LLMs, generative AI, NLP, and computer vision.

- Research, prototype, and evaluate state-of-the-art AI models and architectures for real-world applications.

- Build retrieval-augmented generation (RAG) pipelines and integrate AI models into customer-facing products.

- Work with engineers and product teams to embed AI capabilities into platforms and workflows.

- Optimise AI models for accuracy, scalability, and production efficiency.

- Stay up-to-date with advancements in generative AI, foundation models, and applied AI frameworks.

Requirements:

- Bachelor's/Master's degree in computer science, artificial intelligence, data science, or a related field.

- 1-2 years of experience in building and deploying AI applications.

- Strong proficiency in Python and AI/ML libraries such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, and Scikit-learn.

- Hands-on experience with LLMs, embeddings, prompt engineering, or fine-tuning foundation models.

- Familiarity with cloud platforms (AWS, GCP, Azure) and containerisation (Docker, Kubernetes) is a plus.

- Understanding of vector databases (Pinecone, Qdrant, Weaviate, and FAISS) is desirable.

- Strong problem-solving skills with the ability to translate business needs into applied AI solutions

- Excellent communication and cross-team collaboration skills.

- Experience with generative AI (LLMs, diffusion models, and multimodal AI).

- Familiarity with RAG and orchestration frameworks (LangChain, LlamaIndex, Haystack).

- Exposure to MLOps/AIOps practices and CI/CD pipelines for AI workflows.

- Contributions to AI/ML open-source projects.