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Apptoza Inc.

Forward Deployed Engineer

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 26, 2026
Experience: 10+ years of experience in data engineering, AI application development, and production software engineering.
Posting language: English
Posted: Oct 27, 2026

Original job description

Role : Forward Deployed Engineer (Python/PySpark Developer)

Location : Toronto ,ON

Role Overview

We are seeking a Senior Forward Deployed Engineer with strong expertise in Python, PySpark, data engineering, AI application development, and cloud platforms. The candidate will work closely with clients and engineering teams to build, deploy, and optimize production-ready AI and data solutions.

Key Responsibilities

Collaborate with clients and business stakeholders to understand workflows, requirements, and success criteria.
Profile and process data using Python, pandas, PySpark, and SQL.
Develop and deploy AI applications, REST APIs, and data pipelines using FastAPI and cloud platforms.
Build Claude-powered AI solutions using RAG, prompt engineering, vector databases, semantic search, and agentic AI.
Implement batch, real-time, and streaming data pipelines.
Manage MLOps/LLMOps, CI/CD, MLflow, monitoring, deployment, and rollback.
Troubleshoot production issues and optimize performance, reliability, latency, and cost.
Ensure data security, governance, quality, and compliance while driving client adoption and knowledge transfer.

Required Skills

10+ years of experience in data engineering, AI application development, and production software engineering.
Strong expertise in Python, PySpark, SQL, REST APIs, FastAPI, Git, Docker, Kubernetes, Airflow, and MLflow.
Experience with Claude, RAG, vector databases, agentic AI, and LLMOps/MLOps.
Strong knowledge of ETL/ELT, distributed processing, cloud platforms, and CI/CD.
Understanding of IAM/RBAC, encryption, data privacy, monitoring, and enterprise security.
Excellent client-facing, consulting, problem-solving, and communication skills.
BFSI experience and a bachelor's degree in a relevant discipline are required/preferred as specified by the employer; relevant certifications are an advantage.

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More about this job

Responsibilities

Work with clients and engineering teams to understand requirements and build, deploy, and optimize production-ready AI applications, APIs, and data pipelines. Manage data processing, MLOps/LLMOps, production troubleshooting, security, governance, and client adoption.

Requirements

Requires 10+ years of experience in data engineering, AI application development, and production software engineering, with strong skills in Python, PySpark, SQL, APIs, cloud platforms, and CI/CD. Experience with Claude, RAG, vector databases, agentic AI, enterprise security, and client-facing consulting is required; BFSI experience and a relevant bachelor's degree are required or preferred as specified by the employer.

Skills

Python
PySpark
SQL
Data Engineering
REST APIs
FastAPI
Claude
Retrieval-Augmented Generation (RAG)
Vector Databases
Agentic AI
MLOps/LLMOps
Docker
Kubernetes
Airflow
MLflow
Cloud Platforms

Visa sponsorship

Not detected in the job text

Keywords

Python
Pandas
PySpark
SQL
Data Engineering
AI Application Development
REST APIs
FastAPI
Claude
Retrieval-Augmented Generation (RAG)
Prompt Engineering
Vector Databases
Semantic Search
Agentic AI
ETL/ELT
Distributed Processing
Batch Processing
Real-Time Data Pipelines
Streaming Data Pipelines
MLOps
LLMOps
CI/CD
MLflow
Docker
Kubernetes
Airflow
Cloud Platforms
IAM/RBAC
Data Governance
BFSI

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