Full Stack AI Software Engineer at FRESHWORKS TECHNOLOGIES UK LIMITED

San Mateo, California, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Aug, 26

Salary

283000.0

Posted On

14 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

React, TypeScript, Java, Python, Node.js, REST, gRPC, AWS, GCP, Azure, LLM Integration, Prompt Engineering, RAG Patterns, Vector Databases, System Design, Full Stack Development

Industry

Software Development

Description

Company Description Organizations everywhere struggle under the crushing costs and complexities of “solutions” that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done. There’s another option. Freshworks. With a fresh vision for how the world works. Freshworks Inc. builds uncomplicated service software that delivers exceptional employee and customer experiences. Our people-first approach to AI eliminates friction, helping businesses reduce complexity, lower cost-to-serve, and deliver faster, more human support through enterprise-grade yet easy-to-use CX and IT solutions. Nearly 75,000 companies, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks to power their Employee Experience (EX) and Customer Experience (CX) operations. Fresh vision. Real impact. Come build it with us. Job Description We are looking for a Full Stack AI Engineer to build intelligent, scalable, and user-centric product experiences across our B2B SaaS platform. In this role, you will work across the stack frontend, backend, and AI/ML-powered services to ship features that embed intelligence directly into workflows. You will have a primary area of strength (frontend or backend) while being comfortable contributing across layers as needed. This role is ideal for engineers who enjoy turning data and models into real product outcomes, not just experiments. What You’ll Do Design, build, and maintain end-to-end product features across frontend, backend, and AI services Develop AI-powered capabilities such as recommendations, automation, summarization, classification, or decision support Integrate LLMs and ML models into production systems with attention to performance, reliability, and cost Build and consume well-designed APIs and services that support scalable AI workflows Collaborate closely with Product Managers, Designers, and Data/ML partners to translate business problems into technical solutions Ensure high code quality through testing, reviews, and adherence to engineering best practices Debug and resolve complex issues across the stack, including data, model behavior, and user experience Contribute to improving engineering standards, tooling, and developer experience within the team Please note: This is a hybrid role that will be based in San Mateo, CA and requires an in-office presence three days per week (Tuesday - Thursday). Qualifications What You’ll Bring Core Engineering Skills 5–8 years of professional software engineering experience Strong experience in full stack development, with depth in both: Frontend: React, TypeScript, modern UI frameworks, or Backend: Java, Python, Node.js, REST/gRPC, distributed systems Solid understanding of system design, data models, and API contracts Experience working with cloud platforms (AWS, GCP, or Azure) AI / ML Capabilities Hands-on experience integrating AI/ML models into production applications Practical experience with LLMs (e.g., prompt engineering, RAG patterns, evaluation, cost/performance tradeoffs) Familiarity with ML concepts such as embeddings, classification, ranking, or prediction (deep research background not required) Experience working with data pipelines, feature stores, or vector databases is a plus Collaboration & Mindset Product-oriented mindset focused on user impact, not just technical elegance Comfortable operating in ambiguous problem spaces and iterating toward solutions Strong communication skills and ability to work effectively in cross-functional teams Willingness to learn and adapt as AI technologies and product needs evolve What Success Looks Like Independently delivers complex features with minimal supervision Owns components or services end-to-end, from design to production support Makes sound technical decisions balancing speed, quality, and scalability Actively contributes to team discussions, design reviews, and code reviews Raises the bar on engineering quality without needing to be a people manager Nice to Have Experience in B2B SaaS products with scale (multi-tenant, enterprise, or global users) Exposure to observability, model monitoring, and AI safety/guardrails Experience working in agile product teams shipping frequently to production Additional Information The annual base salary range for this position is $216,000 - $283,000. Compensation is based on a variety of factors including but not limited to location, experience, job-related skills, and level. Bonus/equity may be available. Freshworks offers multiple options for dental, medical, vision, disability and life insurances. Equity + ESPP, flexible PTO, flexible spending, commuter benefits and wellness benefits are also offered. Freshworks also offers adoption and parental leave benefits. At Freshworks, we have fostered an environment that enables everyone to find their true potential, purpose, and passion, welcoming colleagues of all backgrounds, genders, sexual orientations, religions, and ethnicities. We are committed to providing equal opportunity and believe that diversity in the workplace creates a more vibrant, richer environment that boosts the goals of our employees, communities, and business. Fresh vision. Real impact. Come build it with us.

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Responsibilities

Design and build end-to-end AI-powered product features across the frontend, backend, and AI services for a B2B SaaS platform. Collaborate with cross-functional teams to integrate LLMs and ML models into production systems to improve user workflows.