Remote opportunity at
LaunchDarklySenior Full Stack Engineer, AgentControl
LaunchDarkly is seeking a Senior Full Stack Engineer to join its AgentControl team. This role focuses on building critical infrastructure, including customer-facing web applications and distributed…
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About This Role
LaunchDarkly is seeking a Senior Full Stack Engineer to join its AgentControl team. This role focuses on building critical infrastructure, including customer-facing web applications and distributed systems capable of powering large-scale AI evaluations. The platform empowers teams to manage the complete software development lifecycle for shipping agents, handling everything from configuration and benchmarking to observability, prompt optimization, and cost decisions. The position suits software engineers experienced in building production-quality full-stack…
Job Description
LaunchDarkly is seeking a Senior Full Stack Engineer to join its AgentControl team. This role focuses on building critical infrastructure, including customer-facing web applications and distributed systems capable of powering large-scale AI evaluations. The platform empowers teams to manage the complete software development lifecycle for shipping agents, handling everything from configuration and benchmarking to observability, prompt optimization, and cost decisions.
The position suits software engineers experienced in building production-quality full-stack features and distributed systems. Team members collaborate closely with product managers, designers, and engineering peers to refine generative AI workflows, participate in on-call rotations, and guide architectural design decisions.
LaunchDarkly provides a platform designed to help developers accelerate software delivery, run targeted feature experiments, and minimize deployment risks. The organization operates with a focus on trust, transparency, and collaboration.
Responsibilities
- Design, build, and maintain scalable backend services, distributed systems, and APIs for the AgentControl product
- Collaborate with internal groups including product management, design, and other engineering teams to refine GenAI workflows
- Monitor artificial intelligence developments and software engineering best practices
- Optimize system reliability, performance, and scalability continuously
- Lead architectural discussions and evaluate engineering trade-offs with peer developers
- Manage production code, participate in on-call schedules, and maintain system reliability
- Mentor colleagues through peer design reviews and knowledge sharing
Requirements
- Minimum of 7 years of professional software engineering experience with a background in shipping production-grade full-stack features
- Familiarity with model fine-tuning, prompt engineering, or deploying AI services to production
- Background in building, maintaining, and designing RESTful APIs
- Track record of writing production-ready code emphasizing quality and maintainability
- Experience working with distributed systems or data ingestion pipelines
- Solid computer science fundamentals
Qualifications
- Practical experience developing GenAI features or agents
- Familiarity with Large Language Models through direct integration or via AI APIs like OpenAI, AWS Bedrock, or Google Cloud AI
Core Skills
Benefits
- Restricted Stock Units
- Health insurance
- Vision insurance
- Dental insurance
- Mental health benefits
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, the posting indicates that the role is remote.
What is the salary range for this role?
Target pay varies by US geographic zone for Level 4. Zone 1 is $187,000 to $257,000, Zone 2 is $168,000 to $231,000, and Zone 3 is $158,000 to $218,000, with exact amounts depending on location, skills, and experience.
What primary technologies are used in this position?
Engineers primarily work with Go, Python, and TypeScript, alongside tools and services such as AWS, CockroachDB, Datadog, DeepEval, and FastAPI.
What level of experience is required?
Candidates must have at least 7 years of professional software engineering experience with a history of delivering production-quality full-stack features.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.