Tiger Analytics

Gen AI Engineer

Tiger Analytics$120K — $150K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of experience in software engineering and AI development
  • Hands-on experience with Generative AI/LLM API integration
  • Proficient in AWS infrastructure, including DevOps and CI/CD pipelines
  • Skilled in building Agentic AI applications with a focus on backend efficiency
  • Strong Python programming abilities and understanding of JSON RESTful design

Responsibilities

  • Design and implement high-performance API services
  • Build and manage end-to-end Retrieval-Augmented Generation (RAG) pipelines
  • Develop autonomous or semi-autonomous AI agents using various frameworks
  • Optimize AI performance through latency reduction and relevance tuning
  • Evaluate and iterate AI systems for continuous improvement based on performance metrics

Benefits

  • Significant career development opportunities
  • Engaging work in a fast-growing entrepreneurial environment
  • High degree of individual responsibility
Full Job Description
Requirements

We are looking for a highly skilled AI Engineer with 7+ years of experience in software engineering, with a heavy focus on Python, AWS infrastructure, and Generative AI. The ideal candidate will be responsible for building high-performance API services and implementing complex RAG and Agentic AI architectures.

Key Requirements:
  • Experience: Minimum of 7+ years of professional experience in software development and AI engineering.
  • Generative AI Integration: Hands-on experience integrating Generative AI/LLM APIs, AWS Bedrock, and other model providers.
  • Infrastructure & DevOps: Experience with DevOps, CI/CD pipelines, and ML pipelines within the AWS ecosystem.
  • Agentic AI: Exposure to building Gen AI/Agentic AI applications, managing efficiency, latency, and backend infrastructure.
  • Technical Standards: Strong Python programming skills with a deep understanding of OpenAI API standards, JSON RESTful design, and LLM orchestration.
  • Preferred Skills: Experience working with Bedrock Agent/Core services is a significant plus.
Core Focus Areas & Expectations

Candidates will be expected to demonstrate deep technical proficiency in the following areas:

1. Retrieval-Augmented Generation (RAG)
  • Ability to design and implement end-to-end RAG pipelines, including retrievers, vector stores (e.g., Pinecone, Weaviate, or pgvector), and generators.
  • Expertise in latency optimization and relevance tuning to ensure production-grade performance.
  • Strategic approach to document chunking and embedding, balancing granularity with semantic coherence.

2. Agent Development
  • Practical experience developing autonomous or semi-autonomous agents using frameworks such as LangChain, CrewAI, or Semantic Kernel.
  • Ability to manage orchestration, tool integration, and robust error handling for non-deterministic AI outputs.
  • Proficiency in managing memory and context (episodic vs. long-term) in multi-turn interactions and external API interfacing.

3. Evaluation and Optimization
  • Familiarity with evaluation frameworks (e.g., RAGAS, TruLens) to assess performance, grounding accuracy, and hallucination detection.
  • Ability to iterate systems based on performance metrics and continuous improvement practices.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

About Tiger Analytics

Tiger Analytics is a consulting firm that provides data analytics consulting services to businesses. The company specializes in data science, machine learning, and artificial intelligence. Tiger Analytics helps businesses to leverage data to make better decisions, improve operations, and drive growth. The company has worked with clients in a variety of industries, including healthcare, retail, finance, and technology.
Learn more about Tiger Analytics
Size
500 employees
Industry
Net Income
$1 million
Founded
2011
5 Year Trend
+50%
Revenue
$10 million

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