Lead AI Engineer

Responsibilities

• Design and implement AI solutions using Large Language Models (LLMs), retrieval-augmented generation (RAG), and agentic frameworks to address complex business challenges
• Build and maintain information retrieval pipelines, including hybrid search (sparse + dense), vector databases, and multi-stage re-ranking systems
• Develop and fine-tune LLMs and vision-language models (VLMs) for domain-specific tasks such as product categorization, attribute extraction, and semantic search
• Build and orchestrate agentic AI systems that interact with internal tools and external data sources
• Write production-ready code and deploy AI systems at scale in live environments
• Define and track evaluation metrics aligned with product and business goals; run controlled experiments (A/B tests, benchmarks) and clearly communicate results
• Collaborate with software engineers, product managers, and business stakeholders to frame problems from both scientific and business perspectives
• Investigate and resolve production issues; ensure reliability, observability, and performance of AI systems
• Keep up to date with the latest AI trends (Generative AI, agentic systems, scalable ML, etc.)

Qualifications

• 5–10 years of experience in Machine Learning, Deep Learning, or AI Engineering
• Hands-on experience with LLM/VLM application development: fine-tuning, prompt engineering, tool integration, evaluation, and benchmarking
• Experience with information retrieval and modern retrieval stacks: hybrid search, large-scale embeddings, vector databases, and RAG architectures
• Experience building or orchestrating agentic AI systems
• Strong scientific rigor: ability to design metrics aligned with product goals, run controlled experiments, and communicate results to guide technical and product decisions
• Experience with large-scale production applications (monitoring, reliability, performance, observability)
• Strong coding skills in Python and proficiency in SQL
• Proficient written and verbal communication skills in English
• Growth mindset: continuous improvement of technical and soft skills