Full Stack Engineer, AgentControl

years of professional software engineering experience, with a track record of shipping production-quality full-stack features.

Hands-on experience building GenAI features, Agents, and/or working with Large Language Models (LLMs), either through direct model integration or leveraging AI APIs like OpenAI, Google Cloud AI, or AWS Bedrock.

Understanding of prompt engineering, fine-tuning models, or deploying AI services in production environments.

Experience with designing, implementing, and maintaining RESTful APIs

Experience writing production-ready code with emphasis on quality and maintainability

Experience with distributed systems or data ingestion

As a Full Stack Engineer on LaunchDarkly’s AgentControl team, you'll build critical systems such as the web application that customers interact with on a daily basis and distributed systems that power AI evaluations at scale.

These systems enable customers to control, monitor, and optimize their agent’s functionality.

You’ll primarily work in Go, Python, and Typescript and will work directly with other technologies and tools such as AWS, CockroachDB, and Datadog.

LaunchDarkly’s AgentControl team is on a mission to manage the complete software development lifecycle for shipping agents to production, from configuring to benchmarking to observing and beyond.

Build and maintain scalable backend services and APIs that power the AI Configs product

Collaborate with internal stakeholders, including product managers, designers, and other LaunchDarkly engineering teams, to understand real-world challenges and improve GenAI workflows using our own platform.

Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.

The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:

Improving the velocity and stability of software releases, without the fear of end customer outages

Delivering targeted experiences by easily personalizing features to customer cohorts

Maximizing the business impact of every feature through the ability to experiment and optimize

Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types