Full Stack Engineer, AgentControl

LaunchDarkly; United States; On-site; USD 145,500 - 235,400; Full time

Job summary

LaunchDarkly is hiring a Full Stack Engineer to join their AgentControl team, focusing on critical systems for customer interaction and AI evaluations. The role involves building scalable backend services and APIs while collaborating with cross-functional teams.

Applicants should have over 5 years of experience in software engineering, familiarity with AI technologies, and proven skills in developing RESTful APIs. Competitive salaries vary based on location.

Qualifications

• 5+ years of professional software engineering experience.
• Experience with AI features and large language models.
• Understanding of prompt engineering and deploying AI services.

Responsibilities

• Build and maintain scalable backend services and APIs.
• Collaborate with teams to improve GenAI workflows.
• Optimize performance and reliability of systems.

Skills

Software engineering experience

Building GenAI features

Designing RESTful APIs

Distributed systems

Strong computer science fundamentals

Tools

Go

Python

TypeScript

AWS

CockroachDB

Datadog

Job description

As a Full Stack Engineer on LaunchDarkly’s AgentControl team, you’ll build critical systems such as the web application that customers interact with daily and distributed systems that power AI evaluations at scale. Your work will enable customers to control, monitor, and optimize their agents. You’ll primarily work in Go, Python, and TypeScript, collaborating with technologies like AWS, CockroachDB, and Datadog.

Responsibilities

• Build and maintain scalable backend services and APIs that power the AI Configs product.
• Collaborate with product managers, designers, and other engineering teams to understand real‑world challenges and improve GenAI workflows.
• Continuously optimize performance, reliability, and scalability of our systems.
• Participate in architecture and design discussions, offering thoughtful input and collaborating with senior engineers to identify tradeoffs.
• Keep up‑to‑date with the latest developments in AI and software best practices.
• Take ownership of code in production, participate in on‑call rotations, and help improve reliability and maintainability over time.

Qualifications

• 5+ years of professional software engineering experience, with a track record of shipping production‑quality full‑stack features.
• Hands‑on experience building GenAI features, agents, or working with large language models (LLMs), either through direct model integration or AI APIs.
• 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 an 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.

Pay

• Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, 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

We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.