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About the Role

AI is transforming customer support, and Front is uniquely positioned to lead this change. The Core AI team leverages AI to build innovative product features. This role offers the chance to significantly influence the product's direction as we scale.

Responsibilities

• Design, develop, and deploy generative AI applications using NodeJS & TS to 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 platform capabilities.
• Lead the exploration and implementation of state-of-the-art generative AI techniques.
• 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.
• Keep abreast of the latest developments in machine learning and AI, advocating for best practices and integrating new technologies.

Requirements

• 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 - excited when encountering new problems.
• Strong communication skills that illustrate a clear, structured thought process.
• 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.
• Strong communication skills, capable of explaining complex technical concepts to non-experts.
• Deep knowledge of algorithms, data structures, and principles of software engineering.
• Knowledge in specialized machine learning areas (deep learning, reinforcement learning).
• Experience in SaaS or multiplayer application machine learning implementations.

Skills

• NodeJS
• TS
• Generative AI
• LLMs
• Agentic methodologies
• Prompting techniques
• RAG pipelines
• Evaluation mechanisms
• Fine-tuning LLMs
• Python
• JS
• Database systems
• Algorithms
• Data structures
• Software engineering principles
• Deep learning
• Reinforcement learning

Location

• Remote
• Hybrid

Work Type

• Hybrid
• Remote

Experience Level

• 5+ years of experience in software development

Benefits

• Competitive salary
• Equity
• 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
• Mental health support with Workplace Options
• Family planning support with Maven
• $100 per month Lifestyle Stipend
• Wellness Days
• Winter Break

About the Company

• 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.
• Backed by Sequoia Capital and Salesforce Ventures, Front has raised $204M from leading venture capital firms and independent investors.
• 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.

Equal Opportunity

• 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.