Staff Software Engineer

About Us Ranger AI is a venture-backed intelligence platform helping the world reindustrialize through digital and AI transformation. Backed by top-tier investors including Bonfire, Inovia, 25Madison and Panache Ventures, our core focus revolves around revolutionizing the tendering and RFP process for industrial manufacturing companies through the power of AI agents. Our platform drastically improves how enterprise companies manage Proposal/Quotation workflows through superior data quality, faster response times, and a highly consistent customer experience. Job Overview As a Staff Software Engineer at Ranger AI, you will design, build, and operate the production LLM systems and agents at the core of our platform. You will own the architecture, reliability, and evaluation of these systems and set the engineering standards the broader team adopts. This is a hands-on technical leadership role: you'll ship across the stack, raise the bar for how we build, and work closely with product, design, AI, and customers to deliver dependable outcomes in demanding enterprise environments. Key Responsibilities LLM Systems & Agents Architect and build production LLM pipelines and multi-step agents, including tool use, retrieval, orchestration, and memory. Treat reliability as a first-class concern: design for graceful degradation, retries, fallbacks, guardrails, and bounded failure modes. Reduce hallucinations and unpredictable behavior through improved prompting strategies, structured outputs, validation, and grounding. Optimize cost and latency across models, context strategies, caching, and routing. Evaluation & Observability Develop the evaluation and observability layer: offline evals, regression suites, tracing, and live monitoring of quality, cost, and latency. Monitor system performance and proactively resolve complex production issues. Platform & Application Development Design and operate the scalable backend systems and data pipelines that support the LLM layer. Ship production-ready features across front-end and back-end systems with strong attention to detail. Work with cloud-based infrastructure and CI/CD pipelines to ensure smooth, safe, and frequent releases. Technical Leadership & Collaboration Establish engineering standards and patterns for LLM development across the broader team. Maintain high standards for code quality through rigorous reviews, testing, and documentation; mentor junior and intermediate engineers. Partner with product and engineering peers to assess feasibility and prototype rapidly. Work directly with customers when necessary to help optimize complex enterprise workflows in our application. Qualifications Bachelor's degree in Computer Science, a similar technical field, or equivalent practical experience. 7+ years of professional software development experience, with a proven track record of building and maintaining complex, full-stack applications. Hands-on experience building, benchmarking, and operating LLM-powered systems in production (pipelines, multi-step agents, advanced RAG, or similar). Demonstrated experience owning architecture for distributed systems and raising engineering standards across a team. Ranger AI Tech Stack App: NextJS, NestJS, Python Data: PostgreSQL, Vector Databases / Hybrid Search Infrastructure: AWS (ECS, S3, RDS), Docker, CI/CD AI: LLM APIs, embedding pipelines, agent orchestration, evaluation tooling What We Offer This is a Canada-based, full-time permanent position (Remote / Hybrid options available). Compensation: Base salary of CAD 175,000 plus competitive equity considerations (post-90 days), depending on experience and impact. Benefits: Extended health benefits package + PTO The opportunity to shape the technical foundation of a fast-growing AI startup transforming a massive global industry.

Design, build, and operate production LLM systems and multi-step agents to revolutionize industrial tendering processes. Establish engineering standards, manage system reliability, and develop evaluation layers for quality and performance monitoring.

Requires a Bachelor's degree in Computer Science or equivalent and over 7 years of professional full-stack software development experience. Must have a proven track record of building and operating LLM-powered systems in production and owning distributed system architecture.

• Extended health benefits package • Paid time off • Equity considerations

• CI/CDSouhaitée
• PostgreSQLSouhaitée
• DockerSouhaitée
• Amazon Web ServicesSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• LLM Systems
• AI Agents
• RAG
• Full-stack Development
• Distributed Systems
• NextJS
• NestJS
• Python
• PostgreSQL
• Vector Databases
• AWS
• Docker
• CI/CD
• Prompt Engineering
• System Architecture
• Observability

• Software
• Technology
• Engineering
• Data & Analytics
• Manufacturing

Formation minimale

Baccalauréat

Expérience minimale

10+ ans

Postuler avant le

14 févr. 2027

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Exigences de lieu

Country, Vancouver, British Columbia, Canada

Niveau d’expérience

Mid-Senior level

Mode de candidature

La candidature directe est offerte