Senior Applied AI Engineer

Front is the customer operations platform built for B2B complexity, keeping every team, tool, and customer conversation in sync so companies can scale without losing connection. Others handle simple interactions. Front handles the coordination and context behind complex B2B customer relationships. Over 9,000 companies, including Uber Freight, Navan, and Stripe, rely on Front because it's the only one that can run the operational layer that makes customer-facing work actually succeed.

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 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 Core AI team at Front leverages AI 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.

What will you be doing?

• Design, develop, and deploy generative AI applications using NodeJS & TS that enhance product features and user experiences, focusing on agentic applications to automate resolving user inquiries.

• Collaborate with product teams to identify opportunities for applying generative AI to solve user needs and improve the platform's capabilities.

• 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

• Monitor and evaluate the performance of AI applications, making adjustments and improvements to ensure they meet our high standards.

• 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, with a strong focus on AI and machine learning projects.

• Demonstrable expertise in developing production applications using LLMs and Generative AI models, and familiarity with their underlying technologies.

• Strong experience with agentic methodologies, 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 communication skills that illustrate a clear, structured thought process.

Should Have:

• Excellent problem-solving abilities and the capacity to work both independently and as part of a team.

• Proficiency building production-grade web applications and demonstrated expertise in languages and concepts necessary to deliver these. Eg: Python, JS, TS, Database systems, etc.

• Strong communication skills, capable of explaining complex technical concepts to non-experts.

• Deep knowledge of algorithms, data structures, and principles of software engineering.

Nice to Have:

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

• Experience in SaaS or multiplayer application machine learning implementations.

Front operates on a hybrid model — we come together in the office each Tuesday, Wednesday, and Thursday to collaborate and stay connected.

What we offer

• Competitive salary

• Equity (we are post-series D & backed by some of the best VCs in the US)

• Private health insurance, including plan options at no cost to employees

• Paid parental leave

• Flexible time off policy

• Flexibility to work from home Monday and Friday, unless posted as a fully remote role

• Mental health support with Workplace Options

• Family planning support with Maven

• $100 per month Lifestyle Stipend to spend on fitness, health and wellness, and other activities

• Wellness Days - Fronteers get an additional day off on months with no holidays

• Winter Break - Our offices are closed from Christmas to New Year's Day!

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