Senior Full Stack Engineer, AgentControl

About the Job:

As a Senior 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.

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. AgentControl enables teams to adjust agent behavior without needing a redeploy or code change, while also running experiments, monitoring agents in production, and putting guardrails around AI as usage scales. The product spans offline evals, real-time observability, prompt and workflow optimization, and decision-making around quality, accuracy, relevance, and cost. The AgentControl team has a huge opportunity ahead of it; it's a strategic bet for LaunchDarkly, and we need your help writing the next chapter in our story.

Responsibilities:

• Build and maintain scalable backend services, distributed systems, and APIs that power the AgentControl product
• You’ll primarily work in Go, Python, and TypeScript and will work directly with other technologies and tools such as AWS, CockroachDB, Datadog, DeepEval, and FastAPI.
• 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.
• 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 our 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 our systems over time.
• Support teammates through thoughtful design reviews, knowledge sharing, and informal mentorship.
  
  

Qualifications:

• 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 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
• 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
• Bonus: 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.

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