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LaunchDarkly

Full Stack Engineer, AgentControl

Work from home

Remote role where the employee must remain based in a particular country.

United States only

Employer listed it 6 weeks ago · Added 5 days ago

Been open since 6 weeks ago, still being checked, but it has been live a while.

Salary

$171,200 to $235,400

Location

United States only

Timezone

Not stated

Contract

Full-time

Experience

Mid

Category

Software

Stated by the employer in the job description

Remote flexibility

Work from home

This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.

What the employer says

  • Source listing states candidate location: "Remote - US, US - Oakland, CA (HQ)"

What Nomaders makes of it

  • Residency required in United States
  • Payroll and tax are likely handled in that country only

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

About the role

About the Job:

As a 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. 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.

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.

Continuously optimize the performance, reliability, and scalability of our systems

Participate in architecture and design discussions, offering thoughtful input and collaborating with senior engineers to identify tradeoffs and make well-informed decisions

Keep up-to-date with the latest developments in the AI field and in software development best practices

Take ownership of code in production, participate in on-call rotations, and help improve the reliability and maintainability of our systems 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, 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.

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

Pay:

Requirements

  • ·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, 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.
  • ·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

Benefits

No benefits package published with this listing. Ask about it at first interview.

How to apply

  1. 1Check the flexibility label above, work from home, matches where you plan to live and work.
  2. 2Tailor your CV to the role at LaunchDarkly, mentioning your remote working experience.
  3. 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 5d ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

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