Senior Applied Ai Full-Stack Engineer

Front is the leading AI-powered customer service platform built for collaboration. Front brings core support channels into a modern, intuitive workspace where teams can collaborate on requests, automate manual processes, and delight customers across their entire lifecycle. Front’s flexible workflows, AI features, and customer intelligence provide the efficiency and insights to keep entire organizations customer-first, every day. More than 9,000 of the most innovative companies worldwide including CultureAmp, HootSuite, and Y Combinator use Front to deliver five-star service at scale.

Backed by Sequoia Capital and Salesforce Ventures, Front has raised $204M from leading venture capital firms and independent investors including top executives at Atlassian, Okta, Qualtrics, Zoom, and PagerDuty. Front has received numerous Great Place to Work accolades, including **Built In's 100 Best Midsize Places to Work in SF 2025**, **Top Places to Work by USA Today 2025**,** **Y Combinator's list of Top Companies in 2023**, **#4 on Fortune’s Best Workplaces in the Bay Area** ,**Inc. Magazine's 2022 Best Workplaces list**, and **Forbes Best Startup Employers 2022 List**.

AI is transforming customer support and, with over 12 years of experience building customer operations solutions, Front is in a unique position to shape this transformation. The AI innovation team at Front leverages AI and ML methodologies to build functionality across the entire breadth of the product. Our workflow automations, agent assistance and operational insights have only scratched the surface, and user engagement is already extremely promising. This role would have the opportunity to get in at the ground floor and significantly influence the direction of the product as we scale.

Have a look at what the AI team has been building recently

**What will you be doing?**
- Lead the exploration and implementation of state-of-the-art generative AI techniques, ensuring Front stays ahead of technological trends.
- Inform on AI model training and deployment infrastructure, ensuring scalability and efficiency.
- Dive deep into real-world data, ensuring high-quality model training and iteration
- Keep abreast of the latest developments in machine learning and AI, advocating for best practices and integrating new technologies where appropriate.

**What skills and experience do you need?**

Must have:

- 5+ years of experience in software development
- Strong experience with prompting techniques, RAG pipelines, evaluation mechanisms, and fine-tuning LLMs preferred.
- High learning agility - you’re excited when you encounter a problem you haven’t seen before.
- Strong product and user-centric mindset
- Bias for impact, and pragmatism to deliver real user value through AI.
- Strong communication skills that illustrate a clear, structured thought process and ability to explain complex technical concepts to non experts.

Should have:

- Excellent problem-solving abilities and the capacity to work both independently and as part of a team.
- Deep knowledge of algorithms, data structures, and principles of software engineering.

Nice to have:

- Knowledge in specialized machine learning areas (deep learning, reinforcement learning).

**This is a hybrid role, expected to be in our Paris office on Tuesdays and Thursdays.**

**What we offer**
- Competitive salary
- Equity (we are post-series D & backed by some of the best VCs in the US)
- Fully covered private health insurance
- Paid parental leave
- Generous paid time off
- Focus Fridays - learn more here
- Flexibility to work from home 3 days/week (unless posted as a full-remote role)
- Mental health support with Workplace Options
- Family planning support with Maven
- 75 Euro per month Lifestyle Stipend to spend on fitness, health and wellness, and other activities
- Winter Break - Our offices are closed from Christmas to New Year's Day
- Front provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. By applying, you acknowledge and agree that you have read and understand the _California Recruiting Privacy Notice _& _EU Privacy Notice_