3 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

Tiger Analytics Inc. provides data and AI consulting services that deliver machine learning, analytics, and cloud data engineering solutions for large enterprises across industries, including life sciences. The company engages on strategy and implementation projects, from modern BI and data platforms to MLOps, helping Fortune 100 clients turn data into business outcomes. Founded in 2011 and headquartered in Santa Clara, it is privately held with operations across North America, Europe, and Asia-Pacific.

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