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Open nowPosted 257 days ago

GenAI Engineer

TigerAnalytics180 open roles

Where
Canada
Work mode
Remote
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Your applicationOpen nowGenAI EngineerTigerAnalytics · Canada

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.7%1 day
  2. 3.5%3 days
  3. 7.8%7 days
  4. 14.6%14 days
  5. 34.1%30 days
This job: posted 257 days ago

The posting

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

We are looking for a highly skilled GenAI Engineer with strong hands-on experience in building, evaluating, and deploying advanced Generative AI systems. The ideal candidate will have deep expertise in agentic frameworks, model fine-tuning, and reinforcement learning, along with a strong focus on experimentation, reliability, and hallucination mitigation beyond prompt engineering.

Requirements

  • Design, build, and deploy end-to-end Generative AI and agentic AI solutions for real-world use cases.
  • Develop and orchestrate multi-agent workflows using LangGraph, MCP (Model Context Protocol), and A2A (Agent-to-Agent) communication patterns.
  • Fine-tune large language models (LLMs) using supervised fine-tuning (SFT), RLHF, and other advanced techniques to improve task performance and alignment.
  • Apply reinforcement learning approaches to optimize agent behavior, decision-making, and long-horizon tasks.
  • Design and execute rigorous experimentation frameworks, including offline/online evaluations, A/B testing, and metric-driven improvements.
  • Implement robust strategies for hallucination reduction, such as retrieval augmentation, grounding, validation layers, confidence scoring, and self-reflection mechanisms.
  • Collaborate with data engineers, product managers, and platform teams to integrate GenAI solutions into production systems.
  • Monitor, evaluate, and continuously improve model performance, reliability, latency, and cost.
  • Stay up to date with the latest research and advancements in GenAI, agentic systems, and model alignment.

Required Qualifications

  • 5+ years of industry experience in software engineering, machine learning, or AI-focused roles.
  • Strong hands-on experience with LangGraph and building agentic workflows.
  • Practical experience with MCP (Model Context Protocol) and A2A (Agent-to-Agent) system design.
  • Proven experience in fine-tuning LLMs, including supervised fine-tuning and reinforcement learning-based methods.
  • Solid understanding and application of reinforcement learning concepts in production or research settings.
  • Strong background in experimental design, model evaluation, and statistical analysis.
  • Demonstrated ability to reduce hallucinations using techniques beyond creative prompting.
  • Proficiency in Python and experience with modern ML/AI frameworks.

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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