Posting record
Open 4+ days
- neurohire.ai's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking neurohire.ai, so its true age is longer.
Last checked Nov 4, 2026.
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Upload your resumeWhat it asks of you
- 0–2 years of experience
What the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
Key R͏esponsibilities
Deployment & Implementation Support
- Assist in deploying and configuring AI and platform solutions within customer environments
- Support integration of solutions with client systems, data sources, and workflows
- Perform testing, validation, and environment readiness activities
- Troubleshoot implementation and integration issues under guidance
Applied AI Enablement
- Support integration of LLM‑based applications and AI agents
- Assist with prompt configuration, RAG pipelines, embeddings, and vector search
- Help monitor system performance, data quality, and basic operational metrics
Customer Collaboration
- Work with senior FDEs during customer discovery, implementation sessions, and workshops
- Communicate technical findings and progress clearly to internal teams
- Assist in creating documentation, runbooks, and training materials for customers
Product & Engineering Feedback
- Capture implementation learnings and recurring challenges from customer environments
- Share feedback with internal product and engineering teams to improve future deployments
- Contribute reusable scripts, templates, or configuration assets
Requirements
Deployment & Integration
- Programming experience in Python, JavaScript, Java, or similar
- Experience working with APIs and basic system integrations
- Familiarity with databases (SQL or NoSQL)
- Exposure to cloud platforms (AWS, Azure, or GCP)
Applied AI (Foundational)
- Basic understanding of AI / ML concepts
- Exposure to LLM‑based applications or AI tools through coursework, projects, or internships
- Willingness to learn applied AI implementation patterns
Operational & Professional Skills
- Debugging and problem‑solving in real‑world environments
- Version control basics (Git)
- Clear written and verbal communication
- Ability to work in structured but evolving delivery environments
Soft Skills
- Curiosity and willingness to learn in complex environments
- Structured problem‑solving mindset
- Professional communication with customers and internal teams
- Ability to work collaboratively with guidance
- Excellent communication, analytical, and problem-solving skills
- Demonstrated teamwork and leadership abilities
Q͏ualifications
- Recent graduate of a Bachelor’s or Master's degree program in Computer Science, Engineering, or a related technical field
- Minimum of a 3.0 on a 4.0 GPA scale
- 0–2 years of experience in software engineering, technical consulting, or implementation roles
- An internship or relevant experience will be considered a plus
- Strong interest in customer‑facing engineering and applied technology delivery
Benefits
- Training & Development
- Work From Home
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