Who are we? 

Whatfix is a data-driven digital adoption platform (DAP) that enables organizations and users to maximize the benefits of software. Whatfix acts as an interactive overlay on top of any application to guide users with real-time guidance, self-help support, and user feedback. With product analytics and AI, Whatfix enables scalable success with technology, maximizing productivity, and leveraging data-driven insights for better decision-making. The company has seven offices globally in the US, India, UK, Germany, Singapore, and Australia, and works with Fortune 500 companies around the world. Whatfix has raised $140 million to date and is backed by marquee investors including Softbank, Sequoia, Dragoneer, and Cisco Investments.  

“Hustle Mode ON” is the motto we live by. 

• Whatfix has been named among the top 20 B2B tech companies like Adobe, PayPal, and Cisco.

• With YoY revenue growth of over 65%, we have also been recognized among the top 20 fastest-growing SaaS companies worldwide in the SaaS 1000 list.

• Recognized by Forrester and Everest Group as a 'Leader' in the digital adoption space, and listed by LinkedIn among one of the Top 5 startups in India in 2020

• Listed in Deloitte Technology Fast 500™ among fastest-growing companies in North America for 2022 and 2021 and recognized as Great Place to Work 2022-2023 

• Whatfix has been named a Silver Winner in Stevie's Employer of the Year 2023.

• Our Customer centricity is also evident from a Customer rating of 4.67 on G2 Crowd & 4.7 on Gartner Peer Insights

Whatfix is disrupting the way Application Support and Learning content is consumed by providing Contextual and Interactive WalkThroughs inside enterprise applications when a task is being performed. 

We provide enterprises with a Software Platform that allows them to create Interactive Guides or Flows that sit as an overlay inside any web application. Flows are Contextual—they appear based on where you are in the application (location) and who you are (role). Optimal performance and adoption of any web application are attained when there is easy access to Contextual Information inside the application when a task is being performed.

AI Engineer - Internal Applications

We are seeking a highly motivated and skilled AI Engineer to design, develop, and deploy AI-driven solutions that streamline internal processes, enhance productivity, and improve employee experience. The AI Engineer will work closely with cross-functional teams to identify automation opportunities, build scalable AI models, and integrate them into internal applications. This role requires a strong technical foundation in artificial intelligence, machine learning, and natural language processing, combined with a passion for solving complex business problems.

Key Responsibilities:

AI Solution Development:

• Develop and deploy AI models and algorithms to automate internal processes, enhance decision-making, and improve productivity.

• Build and fine-tune natural language processing (NLP) solutions for use cases such as document processing, chatbot development, and proactive insights.

• Create machine learning pipelines for predictive analytics and anomaly detection in operational workflows.

Integration and Deployment:

• Integrate AI models into existing internal applications, including  CRM platforms, CLM systems,  Employee-facing tools, Enterprise applications, Analytics tools and other custom inbuilt applications.

• Collaborate with DevOps teams to ensure efficient CI/CD pipelines for AI solutions.

Collaboration and Stakeholder Engagement:

• Partner with business stakeholders to identify pain points and opportunities for AI-driven enhancements.

• Work closely with IT and application development teams to align AI initiatives with organizational goals.

Data Management and Analysis:

• Leverage structured and unstructured data from multiple sources to train, test, and validate AI models.

• Implement data preprocessing pipelines to ensure data quality and completeness.

Performance Monitoring and Optimization:

• Continuously monitor and evaluate the performance of deployed AI models, ensuring accuracy, scalability, and efficiency.

• Optimize algorithms and infrastructure to reduce latency and improve user experience.

Innovation and Prototyping:

• Stay up-to-date with the latest trends and advancements in AI and machine learning to recommend and implement cutting-edge technologies.

• Rapidly prototype solutions for new business use cases, presenting proof-of-concept models to stakeholders.

Qualifications:

Education:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Experience:

• 3–5 years of experience in AI engineering, machine learning, or data science roles. 

• Proven track record of developing and deploying AI solutions in enterprise environments.

• Experience with CRM systems and automation platforms is a plus.

Technical Skills:

• Proficiency in programming languages like Python, R, or Java.

• Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.) and NLP libraries (SpaCy, Hugging Face, NLTK, etc.).

• Hands-on experience with cloud platforms (AWS, Azure, GCP) and AI tools (SageMaker, Vertex AI).

• Familiarity with APIs, microservices, and RESTful architectures.

• Strong understanding of data engineering concepts, including ETL pipelines and database management (SQL, NoSQL).

Soft Skills:

• Strong problem-solving and critical-thinking skills.

• Excellent communication and collaboration abilities.

• Ability to work in a fast-paced environment and manage multiple priorities effectively