GenAI Engineer
Tiger Analytics
full-time
Posted on:
Location Type: Remote
Location: Canada
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Tech Stack
About the role
- 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.***
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Generative AIagentic frameworksmodel fine-tuningreinforcement learningsupervised fine-tuningRLHFexperimental designmodel evaluationstatistical analysisPython
Soft Skills
collaborationproblem-solvingcommunicationexperimentationreliability focus