Software Engineer Intern - Conversational AI - Alfie

Purpose in Every Position

Pebl puts a world of talent at your fingertips. With our AI-powered Global Work Platform™, companies can hire, pay, and manage employees in 185+ countries—removing risk, red tape, and guesswork from global growth. Backed by more than a decade of compliance leadership and local expertise, Pebl helps businesses move fast, stay compliant, and scale with confidence. With Pebl, companies everywhere can hire great talent anywhere.

Where Your Work Moves the Needle.

At Pebl, every team member drives our success. Joining us means more than filling a role—you’re accountable for results and impact. Our values guide how we operate, execute, and collaborate across borders. By putting them into action, you’ll help us scale faster, compete harder, and lead the future of global work.

What Makes You a Great Fit

Alfie is Pebl’s proprietary conversational AI — built in-house and live across our product, our self-serve flow, and hellopebl.com. Alfie doesn’t just answer questions; it takes action, surfaces insights, and guides users toward what they actually need. It’s one of the most visible parts of our product and a direct factor in how we win enterprise deals.

The Conversational AI engineering team owns the full stack behind Alfie: the model integrations, retrieval and context systems, evaluation infrastructure, and the APIs that surface Alfie’s capabilities across Pebl’s platform. This summer, you’ll work directly alongside senior engineers on systems that are live, customer-facing, and under active development.

You’ll be hands-on with the hardest open problems on the team: how do we measure and systematically improve Alfie’s response quality? How should our retrieval pipeline handle edge cases? Where are the latency and reliability bottlenecks, and how do we fix them? Your work will ship to a live product and have real impact on users and business outcomes.

This is a 12-week internship in Palo Alto, CA.

How You'll Make An Impact:

The exact scope will be shaped by where the biggest opportunities are when you start, but expect a mix of:

- Contributing meaningfully to Alfie’s core AI stack — working across model integrations, context management, prompt systems, and the retrieval pipeline that feeds Alfie accurate, grounded responses.

- Playing an active role in evaluation tooling: helping develop automated test suites, quality scorecards, and regression harnesses that let us measure Alfie’s performance and ship improvements with confidence.

- Helping diagnose reliability and latency issues in production — tracing calls, profiling bottlenecks, and contributing fixes that improve system stability and scale.

- Working closely with the PM and engineering team to understand product requirements and contribute to the technical implementation.

- Contributing to internal AI tooling (Athena, Pebl’s employee-facing AI) on similar infrastructure and evaluation problems.

Let's Connect If You Have:

You’re a builder who is genuinely excited about AI systems, comfortable with ambiguity, and at your best when you’re working close to the metal on something that matters. You write clean code, ask good questions before jumping to solutions, and take ownership of your work end-to-end.

Specifically:

- Currently pursuing a BS or MS in Computer Science, Machine Learning, or a related field (or equivalent hands-on experience)

- Strong foundation in Python — you’re comfortable writing production-quality code, not just notebooks

- Working knowledge of LLMs and how they're used in real systems — you understand context engineering, agent harnesses, tool use, and how model behavior is shaped by what gets passed in and when.

- Experience building or debugging backend services; REST APIs and async patterns are familiar territory

- Exposure to ML evaluation methods, testing frameworks, or observability tooling is a plus

- A habit of building with AI tools, not just reading about them

Pebl is an Equal Opportunity Employer.

We power global teams and believe diverse perspectives drive innovation and impact. Employment decisions at Pebl are based on qualifications, merit, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other status protected by applicable law. We’re committed to fostering an inclusive culture where every teammate can thrive and do the best work of their career—anywhere in the world.