Senior AI Engineer
2 weeks ago
Are you passionate about cutting-edge advancements in Generative AI, especially Large Language Models (LLMs)? Do you thrive on building innovative solutions using the latest AI frameworks, tools, and techniques?
We are looking for a highly skilled AI Engineer who excels in coding, analytics, and solution development. The ideal candidate is not only proficient in the core concepts of AI but is also deeply excited about exploring and leveraging the latest developments in Generative AI.
Key Responsibilities
- Design, implement, and optimize AI solutions leveraging state-of-the-art Generative AI techniques.
- Develop and fine-tune language models (LMs) for diverse applications.
- Architect scalable workflows and pipelines for AI-driven applications.
- Perform comprehensive evaluations of prompts, retrieval-augmented generation (RAG), and AI system outputs.
- Collaborate with cross-functional teams to integrate AI systems into production-grade solutions.
Skills and Expertise
Foundational Skills
- Machine Learning & Statistics Basics: Understanding of core ML concepts like supervised/unsupervised learning, regression, and probabilistic models.
- Data Science Tools & Techniques:
- Proficiency in tools like NumPy, Pandas, Seaborn, and visualization platforms such as Tableau and PowerBI.
- Ability to process and analyse complex datasets for AI model development.
- Experience with GCP, AWS and Azure.
Core AI and LLM Knowledge
- Deep Learning Frameworks: Hands-on experience with TensorFlow and PyTorch.
- Transformer Architecture Basics: Familiarity with the architecture that powers modern NLP models.
- Natural Language Processing (NLP): Expertise in working with text data and LLM-based solutions.
- LLM Psychology and Prompt Engineering: Understanding of how LLMs "think," their behavior, and effective prompt design for optimising outputs.
- Model Training and Fine-Tuning: Ability to fine-tune pre-trained models for specific use cases and evaluate their performance.
Generative AI Tools and Frameworks
- AI Frameworks: Proficiency in tools like LangChain, LangGraph, and LMLite.
- Generative AI Platforms: Experience with platforms such as HuggingFace, VertexAI, Unsloth, LlamaFactory, OpenAI, and Anthropic.
- Flow Engineering: Designing and maintaining workflows for efficient AI model deployment.
Advanced Capabilities
- Vector Databases and Embeddings:
- Knowledge of platforms like Pinecone, FAISS, and Weaviate for semantic search and similarity matching.
- Vector and Graph RAG (Retrieval-Augmented Generation): Understanding of combining vector and graph-based approaches for improved AI solutions.
- Prompt and RAG Evaluation: Expertise in evaluating prompts and RAG models to ensure high-quality outputs.
Analytical and Problem-Solving Skills
- Strong ability to analyze, design, and troubleshoot complex AI systems.
- Proven experience in developing scalable, production-grade AI systems.
Preferred Qualifications
- A degree in Computer Science, Artificial Intelligence, or a related field.
- Experience with open-source contributions in the AI domain.
- Familiarity with emerging trends and technologies in Generative AI.
- Strong communication and collaboration skills.
Why Join Us?
- Work on cutting-edge AI systems and redefine what’s possible with Generative AI.
- Collaborate with a team of passionate technologists and researchers.
- Enjoy a culture of continuous learning and innovation.
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