Senior Full Stack Engineer, AgentControl

Overview

Senior Full Stack Engineer on LaunchDarkly's AgentControl team, building the web application customers use daily and the distributed systems that power AI evaluations at scale.

What you'll do

• Build and maintain scalable backend services, distributed systems, and APIs that power the AgentControl product.
• Primarily work in Go, Python, and TypeScript, and work directly with AWS, CockroachDB, Datadog, DeepEval, and FastAPI.
• Collaborate with product managers, designers, and other LaunchDarkly engineering teams to understand real-world challenges and improve GenAI workflows using the LaunchDarkly platform.
• Keep up to date with the latest developments in the AI field and in software development best practices.
• Continuously optimize the performance, reliability, and scalability of systems.
• Drive architecture and design discussions, offering thoughtful input and collaborating with peer engineers to identify trade-offs and make well-informed decisions.
• Take ownership of code in production, participate in on-call rotations, and help improve the reliability and maintainability of systems over time.
• Support teammates through thoughtful design reviews, knowledge sharing, and informal mentorship.

What you'll need

• 7+ years of professional software engineering experience, with a track record of shipping production-quality full-stack features.
• Understanding of prompt engineering, fine-tuning models, or deploying AI services in production environments.
• Experience designing, implementing, and maintaining RESTful APIs.
• Experience writing production-ready code with emphasis on quality and maintainability.
• Experience with distributed systems or data ingestion.
• Strong computer science fundamentals.
• Committed to working in a communicative, collaborative environment.
• Comfortable navigating ambiguous challenges in a rapidly evolving domain, and excited about staying at the forefront of AI advancements.
• Strong sense of ownership and accountability for delivering impactful solutions.
• Proven ability to work closely with Product and Design teams to define requirements for new features in a fast-paced iterative environment.

Nice to have

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

Details

• Location: Remote, United States.
• Pay range by geographic zone (Level 4): Zone 1 (San Francisco/Bay Area, NYC Metropolitan Area, Boston, Seattle) $187,000 - $257,000; Zone 2 (Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago) $168,000 - $231,000; Zone 3 (all other US locations) $158,000 - $218,000. Exact compensation may vary based on skills, experience, and location.