Remote AI Tooling Engineer — Build Internal Agent Platform

Jobgether; United States; Remote; CAD 120,000 - 155,000; Full time

Benefits offered by this job

Fully remote

Collaborative team

Cutting-edge AI tech

End-to-end ownership

Autonomy and growth

Job summary

Jobgether is seeking an AI Tooling Engineer to build and scale an internal agentic platform that unifies knowledge, data, and tools in a secure, scalable environment. You will own end-to-end development from design to deployment, focusing on production-grade AI agents, MCP servers, and cost-aware optimization.

This fully remote Canada-based role collaborates with a distributed team to shape company-wide AI capabilities.

Qualifications

• 3+ years of experience shipping production software using Python and relational databases.
• Proven experience building and deploying production AI agents with LangGraph.
• Hands-on agent development including tool calling, retrieval, embeddings, prompts and context design.
• Experience with LLM APIs, token management and cost optimization.
• Experience with MCP or similar tool protocols (server & client).
• Strong AI evaluation knowledge including test datasets and regression testing.
• Familiarity with tracing/observability tools (Langfuse or equivalent).
• Experience integrating APIs and data sources including SaaS, SQL databases, and data warehouses.
• Cloud infra experience on GCP and/or AWS, including containers, managed DBs, IAM, and CI/CD.
• Daily use of AI coding agents and maintaining high software quality.
• Strong security principles, identity management and least-privilege access controls.
• Experience with version control (GitHub/Bitbucket).
• Excellent written and spoken English.

Responsibilities

• Collaborate with engineers to design, develop, and deploy new platform capabilities from design to production release.
• Integrate internal systems and SaaS apps via APIs with proper data models and access controls.
• Build AI agents and MCP servers to enable internal interactions with systems and context retrieval.
• Design retrieval workflows, tool calling, embeddings, prompts, and context management for accurate responses.
• Establish AI quality standards with evaluation datasets, benchmarks, and tracing.
• Monitor cost per answer and token usage; optimize models and prompts for efficiency.
• Troubleshoot production issues and incorporate user feedback for continuous improvement.
• Turn PoCs into secure, scalable cloud apps with robust infrastructure and IAM.
• Use AI coding agents as a core part of workflow with testing and code reviews.
• Contribute to company-wide AI tooling standards and cost tracking.
• Support other teams in adopting the platform and building AI-powered workflows.
• Engage stakeholders to understand needs and communicate solutions clearly.

Skills

Python

LangGraph

Agent development

Tool calling

Embeddings

Prompt engineering

Context design

LLM APIs

MCP

AI evaluation

Langfuse

APIs

SQL databases

Data warehouses

GCP

AWS

AI coding agents

Security

Git

English communication

Remote collaboration

Tools

Django

PostgreSQL

pgvector

React

Next.js

GCP tools

AWS tools

LangGraph tooling

Job description

Jobgether is seeking an AI Tooling Engineer to build and scale an internal agentic platform that unifies knowledge, data, and tools in a secure, scalable environment. You will own end-to-end development from design to deployment, focusing on production-grade AI agents, MCP servers, and cost-aware optimization.

This fully remote Canada-based role collaborates with a distributed team to shape company-wide AI capabilities.