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Salary: USD 158,000 - 257,000 / annual
LaunchDarkly is hiring a Senior Full Stack Engineer to join the AgentControl team, a strategic product initiative focused on managing the complete software development lifecycle for shipping AI agents to production.
In this role, you will build critical systems including the web application that customers use daily and distributed systems powering AI evaluations at scale. AgentControl enables teams to control, monitor, and optimize agent functionality without requiring redeployment or code changes. The product spans offline evaluations, real-time observability, prompt and workflow optimization, and decision-making around quality, accuracy, relevance, and cost.
Key responsibilities include:
- Design and maintain scalable backend services, distributed systems, and APIs powering the AgentControl product
- Work primarily in Go, Python, and TypeScript, alongside AWS, CockroachDB, Datadog, DeepEval, and FastAPI
- Collaborate with product managers, designers, and other engineering teams to understand real-world challenges and improve GenAI workflows
- Stay current with AI field developments and software development best practices
- Optimize system performance, reliability, and scalability
- Lead architecture and design discussions, identifying trade-offs and making informed decisions
- Own production code, participate in on-call rotations, and improve system reliability and maintainability
- Support teammates through design reviews, knowledge sharing, and informal mentorship
Requirements:
- 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
- Ability to work in communicative, collaborative environments
- Comfort navigating ambiguous challenges in rapidly evolving domains
- Strong sense of ownership and accountability
- Proven ability to work closely with Product and Design teams in fast-paced iterative environments
- Bonus: Hands-on experience building GenAI features, Agents, or working with Large Language Models (LLMs) through direct model integration or AI APIs (OpenAI, Google Cloud AI, AWS Bedrock)
