Applied AI/ML Engineer

Job description

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.
  
  We also boast a star rating of 4.6 on G2 Crowd, 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.
• Won the Silver for Stevie's Employer of the Year 2023 – Computer Software category and also recognized as Great Place to Work 2022-2023
• Only DAP to be among the top 35% companies worldwide in sustainability excellence with EcoVadis Bronze Medal
• On the G2 peer review platform, Whatfix has received 77 Leader badges across all market segments, including Small, Medium, and Enterprise, in 2024, among numerous other industry recognitions.

About the Role:

Whatfix is working on building an intelligent assistant that understands user actions and intent, acting as a helpful guide to enhance productivity.

This assistant will anticipate user needs, provide actionable insights, and streamline task completion.

We are seeking rockstar AI/ML Engineers who have experience in building world-class products.

The ideal candidate will have a strong passion for leveraging AI and machine learning to create cutting-edge solutions that transform user experiences.

If you thrive in solving complex problems, pushing the boundaries of AI/ML technology, and working collaboratively in a fast-paced environment, this role is for you!

Key Responsibilities:

• Build a 0-to-1 Intent detection with a strong focus on scalability, performance, and relevance.
• Lead proof-of-concept efforts to validate ideas quickly and align with business goals.
• Architect and implement robust, maintainable, and scalable systems for indexing, querying, and ranking.
• Develop data pipelines, implement automation for reliability, and ensure strong observability and monitoring.
• Work closely with Product Managers and Designers to translate user needs into data-driven, intuitive search experiences.
• Collaborate with cross-functional teams (data, platform, infra) to deliver cohesive and high impact solutions.
• Technical Excellence: Maintain active involvement in the development process, ensuring a high technical standard is met across the team.
  
  Be accountable for the technical quality, including adherence to design and architectural standards.
  
  Lead efforts to resolve technology bottlenecks and implement reusable solutions to enhance efficiency and product quality.

Our Ideal candidate:

• Familiarity with LLMs, RAG pipelines, vector search, embeddings, and/or neural ranking models (e.G., BERT, Sentence Transformers).
• Experience with building product using LLM.
• Strong programming skills in Java or Python.
• Deep Learning Expertise: Strong understanding of deep learning principles in both Computer Vision and Natural Language Processing (NLP).
• Libraries: Proficiency in machine learning and deep learning libraries like PyTorch and Hugging Face.
• Technical Skills: Demonstrated ability to implement, improve, debug, and maintain the product that are built using LLM/integration with LLM.
• Experience with code reviews, design documentation, and improving code structure and architecture.
• Analyze Functional & Non-Functional requirements with effort estimation and deployment strategies.
• Design for performance, scalability, fault tolerance, and high availability.

Nice to Have:

• Familiarity with version control systems such as Git.
• Self-motivated and responsible, with excellent written and verbal communication skills.
• Experience in handling and visualizing large datasets and creating performance reports.

Note:

• We strive to live and breathe our Cultural Principles and encourage employees to demonstrate some of these core values - Customer First;
  Empathy;
  Transparency;
  Fail Fast & Scale Fast;
  No Hierarchies for Communication;
  Deep Dive & Innovate;
  Trust, Do it as you own it;
  
• We are an equalopportunity 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.

Required Skill Profession

Computer Occupations