Opens an external site
- Employment type
- Full-time
- Experience level
- Mid-level · 4+ years
- Posting language
- English
- Working hours
- 40 hours per week
Job summary
You will embed with client teams to map workflows, build custom AI systems, and iterate on solutions using production data. Additionally, you will act as a technical advisor and bridge the gap between client needs and platform development.
Job details
Forward-deployed engineers are the bridge between what a client needs and what we build. You will embed with a customer team, find the highest-leverage use case, and ship it, then iterate in production until it earns its place in their day. It is part engineering, part product, part trusted advisor. You write real code and you also sit in the room where the work actually happens. What you'll do Embed with client teams to map workflows and find where AI genuinely helps. Build and ship custom AI systems against real, messy, production data. Run tight feedback loops with users and iterate until adoption sticks. Translate field learnings back into our core platform and patterns. Be the technical face of arosplatforms in client working sessions. What we're looking for 4+ years shipping software, with strong full-stack ability (TypeScript + Python). You enjoy ambiguity and client contact, and can lead a room without ego. Comfortable building with LLMs and integrating with third-party systems and APIs. Based in or near Toronto, able to be on-site with clients when it matters. Nice to have Consulting, solutions-engineering, or startup-founder background. Experience with enterprise integrations (Salesforce, SAP, ServiceNow, etc.). Job Id: Y1E4HlNIFbUJtBq0ER2K70y4r+xIbkkvo1qZVygvW2+GJmNS0cPxq5fFpNUKWR9iEQzHI9/8OiZegr1wHKjF2R+0giEe66mJQA==
What you’ll do
You will embed with client teams to map workflows, build custom AI systems, and iterate on solutions using production data. Additionally, you will act as a technical advisor and bridge the gap between client needs and platform development.
Requirements
Candidates must have 4+ years of experience shipping software with strong proficiency in TypeScript and Python. Experience with LLMs, enterprise integrations, and a background in consulting or solutions engineering is highly preferred.
Listed skills
- SAP · Preferred
- Data analysis · Preferred
- client relations · Preferred
- TypeScript · Preferred
- Salesforce · Preferred
- Python · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- TypeScript
- Python
- Full-stack development
- LLMs
- API integration
- Software engineering
- Workflow mapping
- Consulting
- Solutions engineering
- Enterprise integrations
- Salesforce
- SAP
- ServiceNow
- Data analysis
- Client relations
- Full Stack Development
- Workflow Management
- Enterprise Integration
- Application Programming Interface (API)
- Artificial Intelligence
- Python (Programming Language)
- Operational Databases
- SAP Applications
- Artificial Intelligence Infrastructure
Job areas
- Technology
- Software
- Engineering
- Consulting
- Data & Analytics
- Forward Deployed Engineer
- Artificial Intelligence Engineer (General)
- Software Developers
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