AI Engineer
First seen by Alion on Nov 10, 2026.
AI Engineer Job Description
Applied AI and Recruitment Automation
Experience 1–5 years
Work location Anywhere
Work arrangement Willing to work from the office or in a hybrid setup when required
About the role
We are looking for a hands-on AI Engineer to build, deploy and improve tools for talent acquisition, job discovery and recruitment operations. You will work with recruiters and business teams to identify where automation can save time and improve quality.
What you will do
- Build AI applications and workflows using Claude, ChatGPT, Perplexity and comparable tools. Choose tools and models based on accuracy, speed and cost.
- Integrate AI with APIs, databases, job platforms, applicant tracking systems and other recruitment tools.
- Take features from prototype to production. Test them on real workflows, monitor performance and resolve issues after rollout.
- Build recruiter review into screening and shortlisting. Handle candidate data responsibly and use approved sources and access methods.
Required experience and skills
- Relevant experience. 1–5 years in software engineering, applied AI, automation or a related role.
- Advanced proficiency with AI tools. Hands-on expertise with Claude, ChatGPT, Perplexity and comparable tools, including using them in development and integrating AI into applications.
- Coding and integrations. Strong coding skills in Python, JavaScript/TypeScript or a comparable language, with experience in APIs, structured data and workflow integrations.
- Live deployment. You must have personally built and helped deploy at least one AI solution that is live and used by real users or an internal team.
Preferred recruitment automation experience
Demonstrable live solutions in one or more of these talent acquisition workflows are preferred.
Workflow
Examples
Job scouting and distribution
Discover vacancies, scrape or extract listings from permitted sources, remove duplicates and distribute openings to job boards or partners.
Talent sourcing
Find and extract public professional profiles from permitted sources, structure the data and match candidates to role requirements.
Screening and CV shortlisting
Parse CVs, screen candidates against role criteria and generate explainable shortlists for recruiter review.
AI calling and scheduling
Use voice agents or recruiter-assist tools for outreach, preliminary screening, follow-ups and interview scheduling.
Candidate submissions and tracking
Prepare candidate submissions, integrate with ATS or CRM platforms and track candidates through interviews, offers and joining.
How to apply
Share your CV and one or two examples of live AI solutions you helped build. Include a product link, recorded walkthrough or demo using anonymised data. Explain the problem, your contribution, the tools you used, who uses the solution and any measurable results. Be ready to discuss how you handled reliability after launch.