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Tiger Analytics
Tiger Analytics

60 Tiger Analytics Python Engineer Jobs Hiring Near You

Tiger Analytics Inc.

Gen AI Engineer

Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their ... Strong Python programming skills with a deep understanding of OpenAI API standards, JSON RESTful ...

Tiger Analytics Inc.

Lead Data Engineer - AWS

Dallas, TX · On-site +1

$101K - $133K/yr

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... Advanced SQL, Python and PySpark skills tailored for distributed processing on AWS. Benefits This ...

Tiger Analytics Inc.

Senior Data Engineer

Dallas, TX · On-site

$104K - $142K/yr

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... Develop applications and data solutions using Java, Python, and SQL. * Implement and manage ...

Tiger Analytics Inc.

Gen AI Engineer

Toronto, ON · Remote

Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their ... Strong Python programming skills with a deep understanding of OpenAI API standards, JSON RESTful ...

Tiger Analytics Inc.

Senior Data Engineer

Dallas, TX

$104K - $142K/yr

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... Develop applications and data solutions using Java, Python, and SQL. * Implement and manage ...

Tiger Analytics

Machine Learning Engineer

Plano, TX · On-site

$120 - $150/hr

Overview Tiger Analytics is looking for experienced Machine Learning Engineer with Gen AI ... Design, build, and optimize high-performance APIs and microservices using Python (Fast API ...

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Tiger Analytics Jobs Information

What is it like to work at Tiger Analytics?

Tiger Analytics is a data science and analytics firm that values collaboration, innovation, and continuous learning, fostering a dynamic and supportive work environment.

The company has a flat organizational structure, allowing for open communication and cross-functional teamwork among its data scientists, engineers, and consultants. Tiger Analytics' mission is to drive business growth through data-driven insights, and its projects often involve working with cutting-edge technologies and methodologies.

Working at Tiger Analytics may appeal to candidates who are passionate about data science and analytics, as the company offers opportunities to work on diverse projects, develop new skills, and contribute to the growth of its clients, with a focus on delivering high-quality results and making a meaningful impact.

What makes Tiger Analytics an attractive place to work?

Tiger Analytics is a leading data science and analytics consulting firm that has established itself as a trusted partner for businesses seeking to drive growth and innovation through data-driven insights. The company fosters a collaborative and innovative work environment, where employees can engage in cutting-edge projects, develop new skills, and work with a diverse team of experts. By joining Tiger Analytics, professionals can gain valuable experience, contribute to impactful projects, and enjoy opportunities for growth and professional development in a dynamic and supportive organization.

What other companies are hiring for Python Engineer jobs?

What are the most popular jobs at Tiger Analytics?

What are the most popular categories at Tiger Analytics?

Infographic showing various Python Engineer job openings at Tiger Analytics in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution.

Gen AI Engineer

Tiger Analytics Inc.

Remote

Full-time

Re-posted 8 days ago

Job description

Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.
Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. We are a Great Place to Work-Certified™ company, recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG, and others.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.
Requirements
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
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides 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.

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