Full Stack Engineer – AgentControl, Generative AI (US Remote)

Job Overview

The Full Stack Engineer will build and operate production systems across backend services, APIs, distributed infrastructure, and customer-facing web experiences while contributing to LaunchDarkly’s AgentControl platform for managing and optimizing AI agents in production.

Key Responsibilities

• Build and maintain scalable backend services, distributed systems, and APIs supporting the AgentControl product.
• Develop customer-facing web application functionality used to control, monitor, and optimize AI agents.
• Work primarily with Go, Python, and TypeScript.
• Use technologies and services including AWS, CockroachDB, Datadog, DeepEval, and FastAPI.
• Collaborate with Product Managers, Designers, and other LaunchDarkly engineering teams.
• Use LaunchDarkly’s own platform to improve generative AI workflows and address real-world product challenges.
• Continuously improve system performance, reliability, and scalability.
• Participate in architecture and design discussions.
• Collaborate with senior engineers to evaluate technical tradeoffs and make informed design decisions.
• Stay current with developments in AI and software engineering best practices.
• Take ownership of production code.
• Participate in on-call rotations.
• Improve the reliability and maintainability of production systems over time.

Required Qualifications

• 5+ years of professional software engineering experience.
• Track record of shipping production-quality full-stack features.
• Hands-on experience building generative AI features, AI agents, or applications involving large language models.
• Experience integrating models directly or using AI services such as OpenAI, Google Cloud AI, AWS Bedrock, or similar platforms.
• Understanding of prompt engineering, model fine-tuning, or deploying AI services in production.
• Experience designing, implementing, and maintaining RESTful APIs.
• Experience writing production-ready software with an emphasis on quality and maintainability.
• Experience with distributed systems or data-ingestion systems.
• Strong computer science fundamentals.
• Ability to work effectively within a communicative and collaborative engineering environment.
• Comfort operating through ambiguity in a rapidly evolving technical domain.
• Interest in staying current with AI advancements.
• Strong ownership and accountability for delivering impactful solutions.
• Experience collaborating with Product and Design teams to define requirements and develop new features in an iterative environment.

Technology Stack

• Go
• Python
• TypeScript
• FastAPI
• AWS
• CockroachDB
• Datadog
• DeepEval
• REST APIs
• Distributed systems

Generative AI & AgentControl

AgentControl is focused on managing the software development lifecycle for AI agents as they move into production. The product is intended to help teams configure, benchmark, observe, experiment with, and optimize agent behavior without requiring a redeployment or code change for every adjustment.

The platform spans offline evaluations, real-time observability, prompt and workflow optimization, experimentation, production monitoring, and guardrails around AI quality, accuracy, relevance, and cost.

Production Engineering

This role includes ownership of code after deployment. Engineers are expected to participate in on-call rotations and contribute to the long-term reliability, scalability, maintainability, and performance of AgentControl systems.

The position also involves architecture and design discussions where engineers evaluate technical tradeoffs alongside more senior team members.

Compensation

LaunchDarkly provides geographic salary ranges for this Level 3 position:

• Zone 1 – San Francisco/Bay Area, NYC Metropolitan Area, Boston, Seattle: $171,200–$235,400 USD per year.
• Zone 2 – Irvine, Los Angeles, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago: $154,100–$211,860 USD per year.
• Zone 3 – All other U.S. locations: $145,500–$200,090 USD per year.

Exact compensation may vary according to skills, experience, and location. LaunchDarkly states that the role also includes Restricted Stock Units, health insurance, vision and dental insurance, and mental health benefits.

Remote Work

This position is explicitly listed as Remote – US. The supplied listing does not specify individual state restrictions, required time zones, travel requirements, or work-authorization requirements.

Recruitment Safety

LaunchDarkly states that official recruiters will contact candidates only from @launchdarkly.com email addresses or through LinkedIn accounts marked as Verified Recruiter.

The company states that legitimate recruiters will not request money, fees, or banking information before an offer and that no job offer will be made without a formal interview process.