LaunchDarkly

SeniorAppEngineer(AI&Automation)

India
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior App Engineer (AI & Automation) at LaunchDarkly. Skills: AI, Automation, design and delivery of AI-powered systems, AI workflows, production deployment, continuous improvement. Lead the design and delivery of AI-powered systems. improve productivity”

What You'll Achieve.

improve productivity across LaunchDarkly; bring solutions into production at scale; ensure systems deliver measurable improvements in productivity, speed, or cost

What They're Looking For.

Must Have

experience building applications or systems using Python or similar languages, Hands-on experience designing and implementing AI-powered workflows or agents in real-world use cases, data background, including working with databases, data modeling, or analytics workflows, Experience integrating and scaling solutions across multiple systems, APIs, or platforms, Experience using and extending no-code or low-code automation and AI tools such as Workato, Glean, or similar, Demonstrated ability to lead projects end-to-end, including scoping, architecture, implementation, and productionization, Experience building and operating production systems with testing, deployment, and monitoring practices, Experience mentoring engineers or providing technical guidance, Experience evaluating tools and contributing to vendor selection decisions

What You'll Do.

Lead the design and delivery of AI-powered systems

identify opportunities

define architecture for internal AI workflows

bring solutions into production at scale

Lead end-to-end delivery of AI-powered agents and automation systems

problem definition through production deployment and continuous improvement

Design architectures for AI workflows

evaluate opportunities

provide input on internal AI strategy and priorities

Make and document build vs buy decisions

participating in vendor evaluation and selection processes

Establish and apply production standards

Define how success is measured

ensure systems deliver measurable improvements in productivity

Reuse and extend internal AI platform capabilities

guiding design decisions

helping structure projects

Collaborate with global teams

deliver solutions across time zones

How You'll Work.

Team & Collaboration

work closely with the CIO and cross-functional partners; Collaborate with global teams, including US-based stakeholders

Process & Methodology

Lead projects end-to-end, including scoping, architecture, implementation, and productionization, helping structure projects

Full Job Description

About the Job: As a Senior App Engineer focused on AI and Automation, you will lead the design and delivery of AI-powered systems that improve productivity across LaunchDarkly. You will work closely with the CIO and cross-functional partners to identify opportunities, define architecture for internal AI workflows, and bring solutions into production at scale. Responsibilities: Lead end-to-end delivery of AI-powered agents and automation systems, from problem definition through production deployment and continuous improvement Design architectures for AI workflows that span multiple systems, tools, and data sources Partner with the CIO to evaluate opportunities and provide input on internal AI strategy and priorities Make and document build vs buy decisions, including participating in vendor evaluation and selection processes Establish and apply production standards, including reliability, observability, and safe handling of data Define how success is measured and ensure systems deliver measurable improvements in productivity, speed, or cost Reuse and extend internal AI platform capabilities such as shared services, skills, and MCP servers Mentor AI engineers by reviewing work, guiding design decisions, and helping structure projects Collaborate with global teams, including US-based stakeholders, to align on priorities and deliver solutions across time zones Qualifications: Strong experience building applications or systems using Python or similar languages Hands-on experience designing and implementing AI-powered workflows or agents in real-world use cases Strong data background, including working with databases, data modeling, or analytics workflows Experience integrating and scaling solutions across multiple systems, APIs, or platforms Experience using and extending no-code or low-code automation and AI tools such as Workato, Glean, or similar Demonstrated ability to lead projects end-to-end, including scoping, architecture, implementation, and productionization Ex

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