Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Software Engineer (AI) (LLM/RAG): Building and optimizing state-of-the-art LLM-powered agents that reason, plan, and automate workflows with an accent on retrieval-augmented generation (RAG) and search relevance. Focus on designing retrieval pipelines, developing evaluation frameworks, and scaling agentic workflows to ensure high-quality insight generation.
Location: Hybrid (Office-First). Must be based in or able to work from hubs in Toronto, Vancouver, or London.
Salary: CA$115K - CA$149K
Company
is an AI-first competitive intelligence platform that helps organizations generate market and competitor insights using autonomous AI agents.
What you will do
- Design and implement RAG systems with agentic workflows for query understanding and response synthesis.
- Build and optimize retrieval pipelines using BM25, dense, hybrid retrieval, and re-ranking.
- Develop evaluation pipelines using offline metrics (recall, MRR, nDCG) and human-in-the-loop methods.
- Collaborate with Product teams to bring ML-powered search agents into production.
- Optimize latency, accuracy, and scalability of retrieval and generation components.
- Contribute to data pipelines for training retrieval and ranking models.
Requirements
- Software engineering experience with expertise in Python.
- Experience with information retrieval systems, search relevance, and ranking models.
- Proficiency in ML frameworks such as PyTorch, TensorFlow, or JAX.
- Familiarity with LLMs, prompt engineering, and RAG pipelines.
- Experience with vector databases (FAISS, Milvus, Pinecone, etc.) and search engines (Elasticsearch).
- Experience with cloud infrastructure (AWS, GCP, or Azure) and CI/CD pipelines.
Nice to have
- Experience with agentic system design for LLM workflows.
- Background in conversational search.
- Open-source contributions to retrieval, NLP, or LLM ecosystems.
Culture & Benefits
- High-performance culture with career development, coaching, and annual reviews.
- Comprehensive health and dental coverage starting Day 1.
- Employee Stock Option Plan for all full-time employees.
- Flexible "Take The Time You Need" vacation policy.
- AI-first environment with access to top-tier tools (Mac/PC).
- Dog-friendly offices in Vancouver and Toronto.
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