or apply directly on InterSystems's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 86 days InterSystems's roles stay open a median of 87 days
- Reposted
- Yes taken down and listed again at least once
- Salary listed
- No 0% of InterSystems's roles list one
- Ghost-job risk at InterSystems
- high 129 stale, 3 reposted of 129 open
- Hiring momentum
- 171 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-29
Measured from postings appearing on and disappearing from InterSystems's own greenhouse board since 2026-08-03. Full hiring picture for InterSystems.
About this role
The Senior AI Application Engineer will join the Managed Services team to develop and manage production AI applications that enhance the deployment and support of InterSystems solutions across various environments, including cloud and on-premises. The role focuses on applying AI technologies to operational challenges, improving deployment quality, and ensuring the reliability of services, particularly in regulated sectors like healthcare.
- benefits
- 5/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of InterSystems as an employer.
What you need
- 8+ years of professional software engineering experience building, deploying, and supporting production systems
- Strong Python skills and working knowledge of technologies such as Bash, ObjectScript, Go, Java, or similar languages
- Demonstrated experience designing, deploying, and supporting production AI applications
- Hands-on experience applying LLMs and AI technologies to real engineering or operational problems
- Experience delivering measurable business or operational outcomes through AI
- Experience building reliable production validation, testing, automation, or operational frameworks
Nice to have
- Background in cloud migrations, patch management, release automation, or platform modernization
- Experience integrating commercial or open-source foundation models into production AI applications
- Open-source contributions in AI, cloud, automation, or software engineering
- Experience in regulated industries, including healthcare, life sciences, financial services, or government
- Familiarity with AI-assisted development tools such as GitHub Copilot, Claude Code, Cursor, Tabnine, Replit, or equivalents
What you get
- Comprehensive medical, dental, and vision insurance
- Disability and life insurance
- 401(k) profit-sharing contribution
- Generous paid time off and paid holidays
- Paid parental leave
- Tuition reimbursement for continued learning and professional development
Worth weighing
- No specific mention of remote work options or flexibility in work arrangements
- The role requires hands-on experience with AI applications in production, which may limit candidates who have only worked on prototypes or academic projects
- Success metrics are heavily focused on operational efficiency and reliability, which may not appeal to those seeking innovative or creative roles
Summarised from InterSystems's posting. Read the full original.
Listed by InterSystems on their greenhouse job board, last confirmed open on 2026-10-29. PitchMeAI is not the employer.
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