Job Description
About the Role:
We are looking for a passionate and skilled Senior AI Engineer (LLM & Generative AI) to join our innovative team. In this role, you will play a pivotal part in designing, building, and scaling cutting-edge AI-powered applications leveraging Large Language Models (LLMs) to solve complex business challenges.
Key Responsibilities:
Design & Development: Architect, develop, and maintain robust AI and LLM-powered applications.
RAG & Search Optimization: Build, fine-tune, and optimize Retrieval-Augmented Generation (RAG) pipelines, embeddings, and semantic search solutions.
Production Integration: Seamlessly integrate state-of-the-art AI models into production-grade applications and systems.
Evaluation & Optimization: Continuously evaluate AI models, refine prompts, and optimize overall system performance, latency, and throughput.
Security & Cost Efficiency: Ensure all AI deployments are secure, reliable, highly scalable, and cost-efficient.
Collaboration & Documentation: Collaborate closely with cross-functional product and engineering teams while maintaining clear documentation of AI architectures and solutions.
Requirements & Qualifications:
Education: Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field.
Experience: Minimum 2 years of hands-on experience in building and deploying AI/LLM solutions.
Programming Languages: Strong proficiency in Python (experience with C# / .NET is considered a strong plus).
AI & LLM Ecosystem: Practical experience working with major foundation models and platforms such as OpenAI, Azure OpenAI, Anthropic Claude, or Amazon Bedrock.
Core Technical Skills: Deep understanding of RAG, vector embeddings, vector search mechanisms, and advanced prompt engineering techniques.
Tools & Infrastructure: Familiarity with modern AI frameworks, vector databases, and cloud AI services is a major plus.
Communication: Fluent in English (written and spoken).
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