Remote AI Tooling Engineer: Build Production-Ready Agents

Jobgether; Saudi Arabia; Remote; SAR 260,000 - 420,000; Full time

Benefits offered by this job

Fully remote work

Multicultural team

Hands-on with cutting-edge AI tech

End-to-end ownership of projects

Autonomy and continuous improvement

Job summary

Jobgether seeks an AI Tooling Engineer based in Saudi Arabia to develop and scale an internal agentic platform that unifies knowledge, data and tools in a secure environment. You’ll collaborate with a Principal Engineer to build production-ready AI agents and integrations used by employees and their AI assistants.

You will own the full development lifecycle—from requirement gathering to deployment, monitoring and continuous improvement—using Python, LangGraph, LLM APIs and MCP.

Qualifications

• At least 3 years of experience building and shipping production software using Python and relational databases.
• Proven experience deploying at least one production AI agent with LangGraph used by real users.
• Practical expertise in agent development: tool calling, retrieval, embeddings, prompts, and context design.
• Hands-on experience with LLM APIs from major providers, including token management and cost optimization.
• Experience with MCP or comparable tool protocols, server and client.
• Strong understanding of AI evaluation methods, datasets, regression testing, and monitoring.
• Familiarity with tracing and observability tools such as Langfuse.
• Experience integrating APIs and data sources, including SaaS, SQL databases, and data warehouses.
• Practical experience with cloud infrastructure on GCP or AWS, including containers and IAM, and CI/CD pipelines.
• Daily use of AI coding agents and maintaining high software quality.
• Strong understanding of security principles and least-privilege access controls.
• Version control with GitHub or Bitbucket.

Responsibilities

• Collaborate with the Principal Engineer to design, develop, and deploy new platform capabilities from design to production release.
• Integrate internal systems and SaaS apps by connecting APIs and data sources with shared data models and access controls.
• Build AI agents and MCP servers enabling internal interactions with systems and context retrieval.
• Design retrieval workflows, tool calls, embeddings, prompts, and context management for accurate AI responses.
• Establish AI quality standards via evaluation datasets, benchmarks, regression testing, and observability.
• Monitor KPIs like cost per answer and token usage; optimize models, prompts and workflows.
• Troubleshoot production issues; incorporate user feedback and iterate the platform.
• Turn proofs of concept into secure, scalable cloud apps with proper infrastructure and identity controls.
• Use AI coding agents in the development workflow with strong code quality practices.
• Contribute to company-wide AI tooling standards, track usage and costs, and define internal standards.
• Support other teams in adopting and building on the platform; communicate solutions clearly.

Skills

Python

LangGraph

LLM APIs

MCP

Cloud platforms

CI/CD

GitHub/Bitbucket

Security

Django

PostgreSQL

React/Next.js

Tools

LangGraph

pgvector

Langfuse

APIs

GitHub

Bitbucket

Job description

Jobgether seeks an AI Tooling Engineer based in Saudi Arabia to develop and scale an internal agentic platform that unifies knowledge, data and tools in a secure environment. You’ll collaborate with a Principal Engineer to build production-ready AI agents and integrations used by employees and their AI assistants.

You will own the full development lifecycle—from requirement gathering to deployment, monitoring and continuous improvement—using Python, LangGraph, LLM APIs and MCP.