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Added 4 months ago
PG
SR Full Stack Engineer II
Paymentus Group Inc
Ontario
- Full-time
…payment solutions and is looking for high performers to join our development team building SaaS Fintech solutions across a range of industries. You will contribute to a massively scalable…
Added 4 months ago
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Senior Data Engineer
NimbleRx
Toronto, Ontario
- Full-time
As a Senior Data Engineer, you will own Nimble's data platform - the layer that every other team builds on to understand the business, ship product features, and meet our compliance…
Added 1 month ago
Senior Software Engineer, CMS (Modernization of Registry)
AutoTrader.ca
Toronto, ON
We’re actively modernizing the platform that is mission-critical used by major financial institutions with a focus on scalability, automation, and developer experience. Current work…
Added 4 months ago
Sr Software Dev Engineer III, RDS for Oracle
Amazon
Vancouver, British Columbia
Amazon Web Services is hiring a Software Development Engineer III for the RDS for Oracle team. We are looking for an experienced engineer to design and build the next generation of managed…
Added 1 month ago
Software Engineer (Java)
Scotiabank
Toronto, Ontario
Prime Services Technology is searching for a Software Engineer for Prime Services Data Interface (PSDI) platform – a central operational data store and data warehouse for Prime Services…
Added 4 months ago
SS
Senior Software Engineer, Back-End (Remote Canada)
Short Story
Remote, Canada
- Full-time
- Remote
…that power our customer experience, warehouse operations, and data platform. We value engineers who take ownership, move quickly, and are comfortable figuring things out as they…
Added 4 months ago
P
Principal/Senior Software Engineer
PointClickCare
Mississauga, Ontario
- Full-time
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in…
Added 4 months ago
GE
Senior Integration Engineer (Future oppourtunity)
GFL Environmental Inc.
Vaughan, Ontario
- Other
We are seeking a Senior Integration Engineer to design, develop, and maintain robust data integration solutions. You will focus heavily on real-time data streaming via Apache Kafka and…
Added 4 months ago
TA
Forward Deployed Engineer (Generative AI)
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
Tiger Analytics is looking for experienced Forward Deployed Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring…
Added 4 months ago
TA
Forward Deployed Engineer (Generative AI)
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
Tiger Analytics is looking for experienced Forward Deployed Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring…
Added 4 months ago
P
Senior Backend Engineer
Partyhat
Remote, Canada
- Full-time
- Remote
We aren’t looking for a traditional server administrator or a standard database developer who just writes basic CRUD APIs. We need an elite Backend Systems Architect who can build…
Added 4 months ago
'
Engineering Manager, Data AI & Analytics
''
Toronto, Ontario
- Full-time
- Other
Reporting to the Director of Platform Engineering, Data AI & Analytics, the Data Engineer Manager leads and develops a team of Data Engineers while remaining hands-on in the delivery of…
Added 1 month ago
Senior Platform Engineer
Scotiabank
Toronto, Ontario
GBME is searching for a Senior Platform Engineer who is a continuous learner and is eager to boost the capabilities of capital markets platforms. The successful candidate will have a strong…
Added 1 month ago
Software Engineer (Python/PL-SQL)
Scotiabank
Toronto, Ontario
…analytics platforms. The role focuses mainly on the Risk and Margin platform within Prime Services…
Added 5 months ago
DC
Environmental Engineer or Geoscientist
Dillon Consulting Limited
London, Ontario
- Full-time
Lead the development and enhancement of relationships with existing clients
Added 5 months ago
Senior Application Support Engineer (Trading & Market Data)
Solactive AG
Toronto, Ontario
Partner with development, infrastructure, and business teams to maintain platform stability.
Added 6 months ago
B
Database Developer
Bounteous
Montreal, Quebec
- Full-time
Database architecture, schema design, SQL development, and performance tuning
Added 6 months ago
P
Senior Software Engineer - Java
PointClickCare
Mississauga, ON
- Full-time
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in…
Added 1 month ago
Operations Engineering Advisor
Celestica International LP
Toronto, ON
Senior commodity engineer with extensive experience in managing electronic component quality. Applicant must have experience working directly with suppliers to drive quality improvement…
Added 1 month ago
Senior Software Engineer, CMS (Modernization of Registry)
AutoScout24
Toronto, ON
We’re actively modernizing the platform that is mission-critical used by major financial institutions with a focus on scalability, automation, and developer experience. Current work…
Added 1 month ago
C
Software Engineer Intern
Cresta
Toronto, Ontario
- $30 to $50 CAD / hour
…conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to…
Added 6 months ago
S
Solution Engineer (Pre-Sales) - All Levels (Canada)
Salesforce
Remote, Canada
- Full-time
- Remote
In addition, we have Core Teams that sell the entire Salesforce Platform and our Co Prime teams specialize in a specific cloud solution including but not limited to Service Cloud, Marketing…

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Tiger Analytics Inc.

Forward Deployed Engineer (Generative AI)

Remote, Canada

Remote

Full-time

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Job details

Job type: Full-time
Workplace: Remote
Posting language: English
Posted: May 18, 2026

Original job description

Tiger Analytics is looking for experienced Forward Deployed Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Role Overview

The Forward Deployed Engineer (FDE) drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across multi-cloud environments (AWS, Azure, GCP). You will bridge the gap between AI research and production-grade cloud infrastructure.

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Key Responsibilities-

AI Solution Deployment: Deploy, fine-tune, and optimize large-scale Gen AI models and LLM orchestration frameworks within customer cloud environments.
Infrastructure Engineering: Architect scalable infrastructure for AI workloads utilizing GPU/TPU orchestration, high-performance storage, and low-latency networking.
Data & Retrieval Pipelines: Design and implement high-throughput data ingestion pipelines and Vector Database architectures for Retrieval-Augmented Generation (RAG).
Multi-Cloud Management: Build agnostic, resilient cloud deployments across AWS, Azure, and GCP using Infrastructure as Code (IaC).
Technical Advocacy: Act as the primary technical consultant, guiding enterprise clients through AI safety, prompt engineering patterns, and inference cost optimization.
Product Collaboration: Feed edge-case deployment insights back to core AI research and platform engineering teams to improve product robustness.

Technical Requirements-

AI Frameworks: Hands-on experience with LLM orchestration tools (LangChain, LlamaIndex, AutoGen) and deep learning frameworks (PyTorch, Hugging Face).
Vector Databases: Production experience setting up and querying vector stores (Milvus, Pinecone, Qdrant, Chroma, or pgvector).
Model Operations (LLMOps): Proficiency in model serving frameworks (vLLM, TGI, Triton Inference Server) and evaluation tools.
Cloud & Containers: Advanced knowledge of cloud AI primitives (AWS Bedrock/SageMaker, Azure OpenAI, GCP Vertex AI) and Kubernetes (K8s) for GPU workloads.
IaC & Automation: Mastery of Terraform or OpenTofu to provision complex multi-cloud compute environments.
Programming: Strong coding skills in Python (preferred) or Go, with an emphasis on writing clean, concurrent code.

Soft Skills-

AI Consultation: Ability to manage customer expectations around LLM non-determinism, hallucinations, and performance trade-offs.
Rapid Adaptability: Passion for keeping pace with the weekly advancements in the Generative AI landscape.
Critical Debugging: Exceptional skill in isolating errors across complex software layers, from GPU drivers up to prompt engineering logic.
Mobility: Willingness to travel to client sites to lead high-stakes, on-site deployment sprints.

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.

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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More about this job

Responsibilities

The role focuses on the on-site deployment, integration, and scaling of enterprise Generative AI solutions within customer cloud environments. It involves bridging the gap between AI research and production-grade infrastructure while collaborating with cross-functional teams to ensure business value.

Requirements

Candidates need hands-on experience with LLM orchestration tools, vector databases, and deep learning frameworks like PyTorch. Proficiency in multi-cloud management (AWS, Azure, GCP), Kubernetes, and Infrastructure as Code (Terraform) is required.

Skills

Generative AI
LLM Orchestration
PyTorch
Hugging Face
Vector Databases
LLMOps
Kubernetes
Terraform
Python
Go
AWS
Azure
GCP
RAG
Prompt Engineering
Cloud Infrastructure

Remote locations

Canada

Remote locations (standardized)

Canada

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
LLM
LangChain
LlamaIndex
AutoGen
PyTorch
Hugging Face
Milvus
Pinecone
Qdrant
Chroma
Pgvector
vLLM
Triton Inference Server
AWS Bedrock
SageMaker
Azure OpenAI
GCP Vertex AI
Kubernetes
Terraform
OpenTofu
Python
Go
RAG
LLMOps
GPU Orchestration
Multi-Cloud
Prompt Engineering
Inference Optimization
Data Pipelines

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