App Engineer (AI & Automation)

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$81,444 U.S. median for this role

Projected growth (BLS Employment Projections)

+6.9% - Faster than average

Matched to SOC 29-1141 - Healthcare aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Healthcare From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Work mode

Hybrid From the posting source checked Jun 20, 2026

In-office days

2 days From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

App Engineer (AI & Automation) Hybrid - Bangalore; Hybrid - Mumbai About the Job: As an App Engineer focused on AI and Automation within LaunchDarkly's IT and Internal AI team, you will build AI-powered workflows, agents, and automations that improve how employees work. You will partner with teams across the company and contribute to solutions that scale productivity across a global organization. Responsibilities: - Build and deploy AI-powered agents, scripts, and automations that reduce manual work and improve employee productivity - Translate defined requirements into working solutions using Python, AI coding tools, and automation platforms - Integrate workflows with internal systems and data sources in partnership with the data team - Measure and track the impact of your solutions using metrics such as time saved, adoption, and cost efficiency - Improve existing automations by debugging issues, increasing reliability, and incorporating user feedback - Reuse internal AI platform capabilities such as shared services, skills, or MCP servers when available - Collaborate with global teams, including US-based stakeholders, to align on priorities and deliver solutions across time zones Qualifications: - Experience building applications, scripts, or automations using Python or similar languages - Hands-on experience using AI-assisted development tools such as Claude Code or similar - Working experience with data systems, including querying databases and working with structured datasets - Experience using no-code or low-code automation and AI tools such as Workato, Glean, or similar - Ability to deliver working solutions to clearly defined problems with appropriate guidance - Experience contributing to production

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