AI Intern

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 Team

• Bizapps AgentificationThe Bizapps Agentification team sits at the intersection of AI, business operations, and product engineering. We are building the next generation of intelligent process automation — replacing manual, repetitive business workflows with AI agents that think, decide, and act. This is not incremental automation; it's a ground-up rethinking of how internal functions (Sales, HR, Finance, RevOps) operate using agentic AI.As an intern on this team, you will be part of a small, high-impact group working directly with senior leadership on live agentification initiatives inside Whatfix.

Role Overview

We are looking for highly curious and technically strong interns for the Field Development Engineer (FDE) role within the Bizapps Agentification program. In this role, you will design, build, and iterate on AI agents that automate key Whatfix business processes — from lead enrichment and candidate screening to AR collections and pre-sales workflow automation.

You will work with real data, real stakeholders, and real production constraints. This is a hands-on engineering internship, not a support or shadow role

What You'll Do

• Design and build AI agents to automate end-to-end business processes across Sales, HR, Finance, and Rev
• Ops functions.
• Integrate large language models (LLMs) with internal tools, APIs, CRMs (Salesforce), and data sources to create autonomous workflow agents.
• Prototype and iterate on agentic architectures including multi-step reasoning chains, tool-calling agents, and retrieval-augmented generation (RAG) pipelines.
• Collaborate with business stakeholders to map current manual processes, identify automation opportunities, and define agent success metrics.
• Build lightweight dashboards or reporting layers to monitor agent performance and output quality.
• Document agent designs, prompt strategies, and integration specs clearly for internal stakeholders and leadership reviews.

What We're Looking For

• Must-Haves: Currently pursuing a B.Tech. in Computer Science, Engineering, or a related technical field (2027 graduation). Strong fundamentals in Python — you can build, debug, and ship working code independently.
• Genuine curiosity about AI, LLMs, and agentic systems — you've explored tools like Lang
• Chain, Llama
• Index, Crew
• AI, Auto
• Gen, or similar frameworks (even if outside of coursework). Ability to think in systems: you can break down a messy process into structured inputs, logic, and outputs.
• Strong written communication — you can document what you build clearly.
• Good to Have: Hands-on experience building with OpenAI, Anthropic Claude, Gemini, or similar LLM APIs. Familiarity with REST APIs, webhooks, and API-based integrations.
• Exposure to Salesforce, HubSpot, or any CRM/ERP system.
• Experience with prompt engineering, chain-of-thought reasoning, or tool-calling patterns.
• Prior internship or project experience involving automation, workflow tools, or business process modeling.
• What You'll Learn How to architect and ship production-grade AI agents for real business use cases.
• How enterprise AI automation initiatives are scoped, prioritized, and measured.
• How to work at the boundary of engineering and business — translating operational problems into technical solutions.
• Whatfix's product suite (DAP, Seek, Screen
• Sense, Mirror) and how AI layers on top of existing enterprise software.
• Participate in weekly cross-functional reviews with leadership (including CRO and CFO-level stakeholders) on initiative progress.