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Assembled

Software Engineer - AI Agents

Reposted Yesterday
In-Office
San Francisco, CA
135K-280K Annually
Senior level
In-Office
San Francisco, CA
135K-280K Annually
Senior level
As a Software Engineer on the AI Products Team, you'll develop features integrating LLMs, improve AI infrastructure, enhance model performance, and engage with customers to shape user-friendly solutions.
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About Assembled

Great customer support requires human agents and AI in perfect balance, and Assembled is the only unified platform that orchestrates both at scale. Companies like Canva, Etsy, and Robinhood use Assembled to coordinate their entire support operation — in-house agents, BPOs, and AI — in a single operating system. With AI Agents that resolve cases end-to-end, AI Copilot for agent assistance, and AI-powered workforce management that optimizes both human and AI capacity, Assembled helps teams deliver faster, better service while making smarter decisions about how to staff and automate. Backed by $70M from NEA, Emergence Capital, and Stripe, we're building the platform that makes AI and human collaboration actually work.

The Team

Our AI Products Team is building autonomous AI agents that handle the most challenging aspects of customer support and let human agents focus on high-value interactions. After launching the product's go-to-market motion, the Assist product line grew 5x in just 3 months to millions of ARR, with a strong pipeline of deals for even more growth.

We're already deploying our systems at leading tech companies like Canva, Patreon, and Babylist, giving us complex real-world scenarios to solve with rapid feedback loops. The engineering challenges are significant: building autonomous agents that can reliably handle customer interactions, designing systems that scale across communication channels, and pushing the boundaries of what's possible with current LLM technology.

Operating as an team led by CTO John Wang, we're focused on eliminating low-leverage support work and helping agents send faster, more accurate replies.

Examples of what you might work on:

  • Scaling LLMs with Golang

  • Enhancing RAG results with Reciprocal Rank Fusion and Hybrid Search

  • Pioneering new LLM evaluation techniques

Responsibilities

As a Software Engineer on the AI Products Team, you will:

  • Build foundational new features: Develop product features from the ground up, such as implementing translation capabilities powered by LLMs and intelligent categorization of incoming tickets. You’ll help design and build a workflow builder that distills the complexity of workflows into a simple, intuitive interface, making powerful tools accessible and easy to use for support agents.

  • Improve LLM model results: Enhance our retrieval augmented generation engine using techniques like vector search, document re-ranking, and hypothetical document embeddings. You’ll help us leverage implicit knowledge bases like past tickets and macros to improve model performance.

  • Develop LLM Infrastructure: Architect the abstractions that enable the integration of various types of LLMs tailored for different applications. You’ll design and implement evaluation and logging systems to monitor performance and build interfaces that expand our platform's capabilities.

  • Engage with customers: Collaborate with our customers (both support agents and managers) to understand their needs, how they interact with our product, and how we can improve their lives.

  • Wear many hats: Be versatile in roles — coding, user research, planning, brainstorming, interviewing, and cross-team collaboration.

  • Shape the team culture: Encourage a startup mentality that’s all about staying positive, aiming for top-notch product quality, and taking initiative.

About You

You might be a good fit if you:

  • Have 5+ years of experience in software engineering as an individual contributor.

  • Are highly ambitious and driven and set high goals for yourself and others.

  • Put customers first, focusing on real problem-solving and making life easier for support agents.

  • Enjoy fast-paced environments and can quickly adjust when new insights come from customers or prospects.

  • Have a bit of a maverick streak that helps you come up with creative solutions for tough problems.

  • Have made a noticeable impact on small teams and have solid experience contributing in startups or smaller companies.

  • Have worked with LLMs and are excited to dive into them every day.

  • Stay humble and open to feedback, value teamwork, and are always ready to learn and grow.

Our U.S. benefits
  • Generous medical, dental, and vision benefits

  • Paid company holidays, sick time, and unlimited time off

  • Monthly credits to spend on each: professional development, general wellness, Assembled customers, and commuting

  • Paid parental leave

  • Hybrid work model with catered lunches everyday (M-F), snacks, and beverages in our SF & NY offices

  • 401(k) plan enrollment

We know great candidates don’t always meet every requirement listed in a job description. If the role excites you and you believe you can make an impact at Assembled, we encourage you to apply. We value diverse perspectives and are committed to building an inclusive workplace where everyone feels like they belong and has the opportunity to do their best work. We look forward to hearing from you!

For United States Applicants:
Assembled participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the United States.
For United Kingdom Applicants:
Assembled is required to verify your right to work in the UK and will conduct a Right to Work check prior to employment in accordance with applicable law.

Top Skills

Document Re-Ranking
Go
Hybrid Search
Llm
Vector Search

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