2 months ago
Remote, Canada or Toronto, CanadaSenior

Responsibilities

  • Build high-performance API services using Python and AWS infrastructure.
  • Integrate Generative AI and LLM APIs, including AWS Bedrock and other model providers.
  • Design and implement end-to-end RAG pipelines with retrievers, vector stores, embeddings, and generators.
  • Develop autonomous or semi-autonomous agents using frameworks such as LangChain, CrewAI, or Semantic Kernel.
  • Manage agent orchestration, tool integration, memory, context, error handling, and external API interactions.
  • Optimize latency, relevance, grounding accuracy, hallucination detection, and overall production performance.
  • Use evaluation frameworks such as RAGAS and TruLens to measure and improve system performance.
  • Work with DevOps, CI/CD pipelines, and ML pipelines within the AWS ecosystem.

Requirements

  • At least 7 years of professional experience in software development and AI engineering.
  • Strong Python programming skills and experience building backend API services.
  • Hands-on experience integrating Generative AI or LLM APIs, AWS Bedrock, and other model providers.
  • Experience building Gen AI or agentic AI applications and managing their efficiency, latency, and backend infrastructure.
  • Strong understanding of OpenAI API standards, JSON, RESTful API design, and LLM orchestration.
  • Experience designing RAG systems, including document chunking, embeddings, retrievers, vector stores, relevance tuning, and latency optimization.
  • Practical experience developing agents with frameworks such as LangChain, CrewAI, or Semantic Kernel.
  • Experience managing memory and context in multi-turn interactions and integrating external APIs.
  • Familiarity with evaluation frameworks such as RAGAS and TruLens.
  • Experience with Bedrock Agent and Core services is preferred.

Benefits

  • Fully remote position based in Canada.
  • Significant career development opportunities as the company grows.
  • Opportunity to work in a small, fast-growing, challenging, and entrepreneurial environment.
  • High degree of individual responsibility.
Tiger Analytics Inc.

About Tiger Analytics Inc.

5,001-10,000 employees
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