Software Systems Engineer – AI/GenAI & Automation : Remote: USA

iitjobs, Inc.; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

IITJOBS, Inc. is seeking a hands-on Software Systems Engineer to mature an internal AI/GenAI toolkit into a scalable platform. You will own GitHub repos, automate AI agents, deploy solutions in the cloud, and extend a large Obsidian knowledge base for multi-user retrieval with citations.

The role emphasizes practical delivery, production-grade features, and broad tech fluency across AI, automation, cloud, and data processes. Remote within the USA is supported.

Qualifications

• GitHub repositories, workflows, and team guidance are essential.
• Strong Python programming and code maintenance capabilities.
• Hands-on GenAI/AI experience, including OpenAI or similar tools.
• Experience creating and automating AI agents and workflows.
• Ability to take AI-driven solutions from build to production.
• Ability to measure and reduce AI usage costs by using tools or services.
• Experience with Obsidian or comparable markdown knowledge bases.
• Familiarity with AWS/Google Cloud and web servers.
• Broad tech fluency across AI, automation, cloud, and knowledge management.

Responsibilities

• Own the GitHub repositories: structure, workflows, and team guidance.
• Build and automate AI agents and workflows to cut manual work.
• Reduce cost and runtime of AI agents by moving work to callable interfaces.
• Develop and deploy AI-driven features to production environments.
• Deploy and maintain cloud infrastructure across AWS/Google Cloud.
• Open the Obsidian vault to a multi-user retrieval system with access control.
• Support the team in Python and extend the shared codebase.
• Identify and automate repetitive business/data processes using AI.
• Bridge AI, automation, development, cloud, and knowledge-management tools.

Skills

GitHub expertise

Python

AI/GenAI experience

AI agent development

AI solution deployment

Token/cost optimization

Obsidian / knowledge base

Cloud / web technologies

Broad technical range

GitHub workflows

Job description

Software Systems Engineer – AI/GenAI & Automation (Remote, USA)

The Role

We're looking for a hands-on AI Developer/Engineer to take over and mature an internal library of AI-powered toolkits, agents, and automations, currently maintained by a small group and running with no version control, and turn it into a stable, well-managed platform the wider team can rely on and extend.

This is practical, delivery-focused work: building and automating AI agents, cutting the cost of running them, deploying solutions to the cloud, managing the codebase in GitHub, opening up a large internal knowledge base to the team, and supporting a small non-engineering team who depend on these tools day to day.

What You'll Do

• Own the GitHub repositories. Migrate existing, currently unversioned code into GitHub, set up a repo structure and workflow a small team will actually follow, and directly train and guide the development team on GitHub practices.
• Build and automate AI agents. Set up, configure, and automate AI agents and workflows that handle routine business and data tasks, reducing manual effort across the team.
• Cut the cost and time of running AI agents. Measure where token usage and run time actually go today, establish a baseline, then move routine, repeatable work behind a callable interface (an MCP server, a plugin, an agent service, or a small internal app) instead of having every run load large amounts of context. Report a measured before/after improvement.
• Develop and deploy AI-driven solutions. Work hands-on with existing AI tools and frameworks (OpenAI and others) to build features, not just prototype them, and take them to production.
• Deploy and maintain cloud infrastructure. Work across AWS and/or Google Cloud, web servers, and standard deployment practices to keep AI solutions running reliably.
• Open the Obsidian knowledge base to the team. Turn a large, existing Obsidian vault (hundreds of markdown pages, built from source documents and meeting notes) into a shared retrieval system: multi-user writes, access control for restricted pages, answers that cite the page they came from, and a system that says "I don't know" rather than guessing.
• Support the team in Python. Strong, confident Python usage to extend and maintain the shared codebase; you don't need to build everything from scratch, but you need to be able to read, debug, and extend what's there.
• Automate business and data processes. Identify manual, repetitive work and use AI/automation to remove it, this is a core, ongoing part of the role, not a one-off project.
• Bring broad technical range. Comfortable moving across AI, automation, development, cloud infrastructure, and knowledge-management tooling rather than being narrowly specialized in just one layer.

Must-Have Skills

• GitHub expertise – can manage repositories, support GitHub-based workflows, and train/guide the wider development team
• Python – strong working knowledge; you extend and maintain existing code rather than needing to build everything new
• AI/GenAI experience – hands-on, practical experience with AI solutions, including OpenAI
• AI agent development/automation – experience setting up and automating AI agents and workflows, not just calling an API
• AI solution development and deployment – able to take an AI-driven solution from build to production
• Token/cost optimization – experience measuring AI usage costs and reducing them by moving work behind tools, APIs, or services instead of raw context loading
• Obsidian or a comparable markdown knowledge base – experience building or querying a retrieval system over a large vault of interlinked documents, ideally with access control and cited answers
• Cloud/web technologies – familiarity with AWS, Google Cloud, web servers, and deployment
• Broad technical range across AI, automation, development, cloud, and knowledge management

Nice to Have

• GitHub Copilot or other AI coding assistants and AI development tools
• Strong track record automating data or business processes using AI
• Product management or solution-development experience
• Familiarity with a shared internal Python library used across a team
• Experience with SharePoint, Smartsheet, or other Microsoft 365 tools
• Experience with retrieval-augmented generation (RAG), citation-grounded answers, or vector search