This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI Tooling Engineer in the United States.
This role focuses on building practical, production-ready AI tools that directly improve how internal teams work across operations, customer success, finance, and other business functions.
You will design and ship AI-powered automations and agents that replace manual workflows with fast, reliable, and user-friendly solutions.
Working at the intersection of engineering and product thinking, you will collaborate closely with non-technical stakeholders to understand real operational pain points.
You will rapidly prototype, iterate, and deploy internal tools that are immediately adopted and improved based on real-world usage.
This is a highly hands-on engineering role where ownership spans from problem discovery to deployment and iteration.
The environment is fast-moving, highly collaborative, and centered on delivering measurable impact through applied AI systems.
Accountabilities:
- Design and build internal AI-powered tools, agents, and automations that improve operational efficiency across business teams.
- Collaborate with cross-functional stakeholders to identify high-impact workflows and translate them into scalable technical solutions.
- Develop LLM-based applications such as agents, RAG systems, copilots, and workflow automations integrated into existing business tools.
- Build and maintain backend services, APIs, and integrations with platforms such as Slack, Zendesk, Salesforce, Notion, and others.
- Ship production-ready tools quickly, iterate based on user feedback, and ensure high adoption across internal teams.
- Create evaluation frameworks and monitoring systems to ensure reliability, safety, and performance of AI-driven features.
- Partner with business teams to understand workflows deeply and continuously improve tools based on real operational needs.
- Contribute to foundational best practices for prompt engineering, AI deployment, and internal tooling standards.
Requirements:
- 1–3 years of experience building software, including backend systems, internal tools, automations, or API-based applications.
- Strong programming skills in TypeScript and/or Python with experience shipping production-ready code.
- Hands-on experience building LLM-powered applications such as agents, RAG pipelines, copilots, or prompt-based tools.
- Familiarity with integrating APIs, webhooks, and third-party SaaS platforms in production environments.
- Strong ability to work directly with non-technical stakeholders and translate business needs into technical solutions.
- Comfortable operating in fast-paced, ambiguous environments with rapid iteration cycles.
- Strong communication and collaboration skills with a product-oriented engineering mindset.
- Bonus: experience with orchestration tools (LangChain, Temporal), vector databases, or CRM/ticketing integrations.
Benefits:
- Competitive compensation aligned with experience, skills, and location.
- Equity participation through employee stock option programs.
- Flexible work environment with remote-first opportunities.
- Open paid time off and paid parental leave.
- Professional development support and learning opportunities.
- Wellness, home office, and technology stipends.
- Employee referral bonus program.
- Comprehensive benefits package including healthcare coverage (subject to plan eligibility).
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
#LI-CL1
