Full-Time
Backend Engineer
AI/ML
Posted on 10/31/2025
Klue
51-200 employees
AI-driven competitive intelligence platform with insights
Compensation Overview
CA$145k - CA$180k/yr
Toronto, ON, Canada + 1 more
More locations: Vancouver, BC, Canada
In Person
Two days on-site per week.
 Software Engineering (1) |
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- 3+ years of backend engineering experience, ideally in search, retrieval systems, or high-scale APIs.
- Strong programming skills in Python, Ruby, or similar backend languages.
- Experience with search infrastructure (Elasticsearch, OpenSearch, Vespa) and vector search systems.
- Understanding of retrieval pipelines, dense retrieval, and hybrid search.
- Familiarity with real-time data pipelines (Kafka, Pub/Sub) for indexing workflows.
- Experience with distributed systems and microservices, with a focus on reliability and performance.
- Familiarity with cloud infrastructure (AWS, GCP, Azure) and container orchestration (Kubernetes).
- Ability to work collaboratively with ML Engineers, understanding their experimentation workflows and constraints.
- Strong debugging and profiling skills for production systems.
- Design, implement, and maintain retrieval infrastructure and APIs that interface seamlessly with LLM-based agent workflows.
- Integrate dense retrieval, hybrid retrieval, and re-ranking models into live systems.
- Optimize latency, scalability, and throughput of retrieval systems for real-time agentic pipelines.
- Build and maintain vector database infrastructure (FAISS, Milvus, Weaviate, Pinecone, PGVector) and traditional search engines (Elasticsearch, OpenSearch).
- Support retrieval-augmented generation (RAG) workflows, including efficient query execution, chunk retrieval, and caching strategies.
- Develop monitoring and observability tools for retrieval pipelines to ensure reliability and transparency.
- Work with ML engineers on data pipelines for indexing and re-indexing, enabling continuous improvement of search relevance.
- Contribute to the architecture of multi-step retrieval agents, ensuring clean abstractions between the backend and ML layers.
- Experience with retrieval-augmented generation (RAG) or agentic retrieval workflows.
- Exposure to prompt engineering and LLM system integration.
- Contributions to open-source projects in search or retrieval.
Klue provides a platform that collects data from millions of sources to give businesses insights into their competitors, markets, and buyers. The software uses artificial intelligence to filter this data into a central hub where teams can access real-time tools like "battlecards" and newsletters to help sales representatives win deals. Unlike traditional research methods, Klue focuses on "competitive enablement" by connecting intelligence directly to sales results and providing tools to measure how these insights impact a company's total revenue. The company’s goal is to provide a comprehensive view of the competitive landscape so businesses can make informed strategic decisions and increase their win rates.
Company Size
51-200
Company Stage
Grant
Total Funding
$89.5M
Headquarters
Vancouver, Canada
Founded
2015
Simplify's Take
What believers are saying
- Ignition acquisition in 2025 boosts AI for sophisticated competitor analysis.
- Salesforce integration embeds intel into revenue workflows seamlessly.
- Deloitte Fast 50 recognition in 2023 validates rapid growth trajectory.
What critics are saying
- Crayon erodes market share with superior AI battlecards in 2026.
- Gong.io automates competitor extraction from calls, slashing Klue demand.
- Salesloft locks out Klue via native intel in March 2026 roadmap.
What makes Klue unique
- Klue's Compete Agent automates CI tasks with real-time deal intelligence.
- AI-Generated Strengths and Weaknesses analyzes reviews from 10+ platforms.
- 360° Win-Loss combines buyer feedback to remove decision bias.
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Benefits
Competitive base compensation
Extended health & dental benefits
Unlimited vacation
Employee Stock Option Plan
Pension fund
Yearly fully-paid trips to Vancouver headquarters
Free access to an online learning tool offering many engineering courses
Growth & Insights and Company News
6 month growth
↓ -4%1 year growth
↓ -1%2 year growth
↑ 0%Vancouver-based Klue is bolstering its AI capabilities through the acquisition of San Francisco-based go-to-market platform Ignition, just a few months after going "AI-first."
Vancouver-based Klue has acquired San Francisco's Ignition to enhance its AI capabilities, following a shift to an "AI-first" strategy. Ignition's AI platform aids in product marketing, but its employees will not join Klue. The acquisition will integrate Ignition's technology into Klue's products. Ignition's co-founders will collaborate with Klue on AI projects while continuing to develop DoubleO AI independently. This follows Klue's 40% staff layoff in June to focus on AI.
Klue launched Compete Agent to automate CI tasks.
Klue has been named one of Deloitte's Fast 50(TM) and Technology Fast 500(TM) fastest-growing companies for four consecutive years (2021-2024), was recognized as one of Canada's top 15 startups by LinkedIn in 2022, and has been included in the Globe & Mail's Top Growing Companies five years in a row.
Klue was named one of Deloitte's Fast 50(TM) and Fast 500(TM) Technology fastest-growing companies in 2021, 2022, and 2023, one of Canada's top 15 startups by LinkedIn in 2022, and has been included in the Globe & Mail's Top Growing Companies five years in a row.