AI Engineer-17386

Who are we?

Founded in 2014 by Khadim Batti and Vara Kumar, Whatfix is a leading global B2B SaaS provider and the largest pure-play enterprise digital adoption platform (DAP). Whatfix empowers companies to maximize the ROI of their digital investments across the application lifecycle, from ideation to training to the deployment of software. Driving user productivity, ensuring process compliance, and improving user experience of internal and customer-facing applications.

Spearheading the category with serial innovation and unmatched customer-centricity, Whatfix is the only DAP innovating beyond the category, positioning itself as a comprehensive suite for GenAI-powered digital adoption, analytics, and application simulation. Whatfix product suite consists of 3 products - DAP, Product Analytics, and Mirror. This product suite helps businesses accelerate ROI on digital investments by streamlining application deployment across its lifecycle.

Whatfix has seven offices across the US, India, UK, Germany, Singapore, and Australia and a presence across 40+ countries.

Customers: 700+ enterprise customers, including over 80 Fortune 500 companies such as Shell, Microsoft, Schneider Electric, and UPS Supply Chain Solutions.

Investors: Raised a total of ~$270 million. Most recently Series E round of $125 Million led by Warburg Pincus with participation from existing investor SoftBank Vision Fund 2. Other investors include Cisco Investments, Eight Roads Ventures (A division of Fidelity Investments), Dragoneer Investments, Peak XV Partners, and Stellaris Venture Partners.

• With over 45% YoY sustainable annual recurring revenue (ARR) growth, Whatfix is among the “Top 50 Indian Software Companies” as per G2 Best Software Awards.
• Recognized as a “Leader” in the digital adoption platforms (DAP) category for the past 4+ years by leading analyst firms like Gartner, Forrester, IDC, and Everest Group.
• The only vendor recognized as a Customers’ Choice in the 2024 Gartner® Voice of the Customer for Digital Adoption Platforms has once again earned the Customers’ Choice distinction in 2025. 4.5 on Gartner Peer Insights, and a high CSAT of 99.8%
• Highest-Ranking DAP on 2023 Deloitte Technology Fast 500™ North America for Fourth Consecutive Year
• Only DAP to be among the top 35% companies worldwide in sustainability excellence with EcoVadis Bronze Medal

  • We don't believe in keeping the applicants hanging and give very high importance to closing the loop irrespective of the outcome of your application.

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

    
    

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.

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.

  Please Note:

  • We don't believe in keeping the applicants hanging and give very high importance to closing the loop irrespective of the outcome of your application.
  • We are an equal opportunity employer and value diverse people because of and not in spite of the differences. We do not discriminate on the basis of race, religion, color, national origin, ethnicity, gender, sexual orientation, age, marital status, veteran status, or disability status.