This is a fully remote position, open to applicants in Canada, +1 more country.

📋 Description

• Developing high-performance API services and executing intricate RAG and Agentic AI frameworks.

• Creating and deploying comprehensive RAG pipelines, which include retrievers, vector stores (such as Pinecone, Weaviate, or pgvector), and generators.

• Overseeing orchestration, tool integration, and effective error management for unpredictable AI outputs.

• Knowledge of evaluation frameworks (like RAGAS, TruLens) to evaluate performance, grounding accuracy, and detect hallucinations.

• Refining systems based on performance metrics and ongoing improvement methodologies.

⛳️ Requirements

• At least 7+ years of professional experience in software development and AI engineering.

• Practical experience in integrating Generative AI/LLM APIs, AWS Bedrock, and various model providers.

• Background in DevOps, CI/CD pipelines, and ML pipelines within the AWS ecosystem.

• Familiarity with developing Gen AI/Agentic AI applications, focusing on efficiency, latency, and backend infrastructure management.

• Proficient in Python programming with a thorough understanding of OpenAI API standards, JSON RESTful design, and LLM orchestration.

• Experience with Bedrock Agent/Core services is a notable advantage.

🏝️ Benefits

• Ample opportunities for career development as the company expands.

• Exceptional chance to join a small, rapidly growing, and challenging entrepreneurial setting, with a significant level of individual responsibility.

• Tiger Analytics offers equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.