Full Stack Engineer, AgentControl

About the role

Join the AgentControl team to develop core customer-facing applications and large-scale distributed systems for AI evaluations. You will build the tools that allow customers to manage, observe, and refine their agent functionalities.

Key facts

What you'll do

• Construct and maintain robust backend services, distributed systems, and APIs that support the AgentControl product.
• Work with Go, Python, and TypeScript, integrating with technologies like AWS, CockroachDB, Datadog, DeepEval, and FastAPI.
• Partner with product managers, designers, and other engineering groups to address real-world challenges and enhance AI workflows.
• Continuously improve system performance, reliability, and scalability.
• Contribute to architectural and design discussions, evaluating trade-offs and making informed decisions.
• Stay current with advancements in AI and software development best practices.
• Take responsibility for production code, participate in on-call duties, and enhance system maintainability.

Requirements

• A minimum of 5 years of professional software engineering experience, with a history of delivering full-stack features to production.
• Practical experience building Generative AI features, agents, or working with Large Language Models (LLMs), either through direct integration or using AI services like OpenAI, Google Cloud AI, or AWS Bedrock.
• Understanding of prompt engineering, model fine-tuning, or deploying AI services in production.
• Experience designing, implementing, and maintaining RESTful APIs.
• Proven ability to write production-ready code with a focus on quality and maintainability.
• Experience with distributed systems or data ingestion pipelines.
• Solid foundation in computer science principles.
• Commitment to working in a collaborative and communicative environment.
• Comfort navigating ambiguity in a fast-paced, evolving field and a desire to be at the forefront of AI.
• Demonstrated ownership and accountability for delivering impactful solutions.
• Ability to collaborate closely with Product and Design teams to define requirements in an iterative setting.

Skills & tools

• Go
• Python
• TypeScript
• AWS
• CockroachDB
• Datadog
• DeepEval
• FastAPI

Practical notes

Compensation ranges are based on geographic zones within the US:

Zone 1 (San Francisco/Bay Area, NYC Metro, Boston, Seattle): $171,200 - $235,400

Zone 2 (Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago): $154,100 - $211,860

Zone 3 (All other US locations): $145,500 - $200,090

This salary range is in addition to Restricted Stock Units (RSUs), health, vision, dental insurance, and mental health benefits. Exact compensation will vary based on skills, experience, and location.

LaunchDarkly recruiters will only contact you from @launchdarkly.com email addresses or LinkedIn from "Verified Recruiter" accounts. Be wary of other domains. Legitimate recruiters will not ask for money, fees, or banking information before an offer. Offers are only made after a formal interview process.