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Gen AI Engineer

1 month ago
United States, Canada
Full-time
Senior
AI Engineer
Software Development
AWS CI/CD Generative AI Python
Apply Now
Tiger Analytics

Tiger Analytics

Tiger Analytics is a leading advanced analytics consulting firm partnering with Fortune 100 companies to drive business value through expertise in marketing science, customer analytics, and operations analytics.

Professional Services
1K-5K
Founded 2011
View All Jobs 71

Description

  • Build high-performance API services for AI and analytics applications.
  • Design and implement end-to-end RAG pipelines, including retrievers, vector stores, and generators.
  • Develop autonomous and semi-autonomous AI agents using modern orchestration frameworks.
  • Integrate Generative AI and LLM APIs, including AWS Bedrock and other model providers.
  • Manage orchestration, tool integration, and error handling for agentic AI systems.
  • Optimize latency, efficiency, and relevance for production AI workloads.
  • Design document chunking and embedding strategies for semantic coherence and retrieval quality.
  • Evaluate model and system performance using frameworks such as RAGAS or TruLens.
  • Iterate on systems based on performance metrics, grounding accuracy, and hallucination detection.
  • Work within AWS-based DevOps, CI/CD, and ML pipeline environments.

Requirements

  • 7+ years of professional experience in software development and AI engineering.
  • Strong Python programming skills.
  • Experience integrating Generative AI/LLM APIs, AWS Bedrock, and other model providers.
  • Experience with DevOps, CI/CD pipelines, and ML pipelines in AWS.
  • Exposure to building Gen AI or agentic AI applications.
  • Deep understanding of OpenAI API standards, JSON RESTful design, and LLM orchestration.
  • Experience with Bedrock Agent/Core services is a strong plus.
  • Hands-on experience with vector stores such as Pinecone, Weaviate, or pgvector.
  • Experience with frameworks such as LangChain, CrewAI, or Semantic Kernel.
  • Familiarity with evaluation frameworks such as RAGAS or TruLens.

Benefits

  • Career development opportunities as the company grows.
  • Opportunity to work in a small, fast-growing, entrepreneurial environment.
  • High degree of individual responsibility.
  • Equal employment opportunity for all applicants and employees.

Interested in this position?

Apply directly on the company website

Apply Now

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