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Railtown AI Technologies Inc.Vancouver, Metro Vancouver Regional District, CA
22 hours ago
Job type
Full-time
Job description
We’re seeking a seasoned engineer to tackle complex software design challenges related to LLM integration and to evolve our core framework.
You may be a good fit for this role if you :
Develop & Refine : Architect and enhance a Python framework that interfaces with large language models, working closely with our existing AI team.
Lead & Communicate : Take ownership of technical decisions, collaborate with colleagues, and clearly articulate trade-offs and progress to stakeholders.
What you’ll do here
Improve Architecture : Design a flexible, efficient, and scalable Python framework for multi-agent orchestration of LLMs.
Optimize Performance : Utilize concurrency and multithreading to boost throughput and reliability; diagnose and resolve integration bottlenecks.
Design APIs : Build and iterate high-quality Python APIs for developers to use when building their agentic systems.
Stay Current : Monitor Python ecosystem trends and LLM advancements; propose and prototype new tools, libraries, and patterns.
Provide Leadership : Make informed decisions, guide engineering peers, and champion best practices in code quality and documentation.
Solve Complex Problems : Apply creative, thoughtful design to overcome challenges and outpace larger competitors..
Skills and Qualifications
BS or MS in Computer Science, Engineering, Statistics, Applied Mathematics, or a related quantitative discipline.
5+ years of professional Python development experience, with a strong understanding of object-oriented design and software engineering principles.
Proven experience building concurrent or multithreaded Python systems.
Hands-on experience with LLM frameworks (e.g., HuggingFace, LiteLLM, LangChain, LlamaIndex).
Familiarity with agile methodologies, including version control, Kanban processes, and cloud deployment.
Contributions to or management of open-source projects is a significant plus.
Prior experience leading an engineering team is highly desirable.
What we offer
Stock options and a competitive salary.
A transit-accessible office location.
A hybrid work model : two days in-office and three days remote.