AI Applied Specialist

A category-leading, VC-backed AI startup on an exponential growth trajectory, E42 is a no-code enterprise Cognitive Process Automation (CPA) platform to spawn AI co-workers with human-like cognitive abilities that automate processes across enterprise functions and verticals. We have 50+ marquee enterprise customers across the globe, including Fortune 500 companies like Accenture, Tata Communications, Mahindra and Mahindra that have deployed these AI co-workers to automate processes across finance, HR, marketing, customer care, to name a few.

With a wide moat in the Cognitive Process Automation space, the platform helps enterprises become intelligent one AI co-worker at a time while propelling E42 as a global leader.

E42.ai is a NASSCOM Deep Tech member and has been featured in IDC and Gartner reports, as well as awarded by most of its partners like Microsoft, Oracle, SAP, NVIDIA, and the likes.

E42.ai’s Neil – AI Co-worker for AP (Co-worker is a supervisor to a group of Specialized AI agents for a process) handles end to end Accounts Payable process without a human touch for large organizations across the world.

We are currently looking for driven Individuals to contribute into the Neil team.

If you see yourself in a role that can help large enterprises solution and onboard Neil AI co-worker for AP on the E42 platform this opportunity is designed for you.

Website: https://e42.ai/ Website: https:/// Linkedin: https://www.linkedin.com/company/e42dotai/ Position: Permanent Role: Applied AI Specialist Experience: 2-5 years

What You Will Do: Find the Bottlenecks: Collaborate directly with cross-functional team leaders and department heads to figure out which manual tasks are slowing their teams down, and design AI solutions to fix them. Build AI Assistants: Create multi-step AI agents that work alongside our team. You’ll take existing internal workflows and make them smarter, more proactive, and highly efficient. Connect the Dots: Hook up these AI agents to our internal databases, SaaS platforms, and APIs so they can fetch the right information exactly when the team needs it. Keep Humans in Control: Set up strict \"Human-in-the-Loop\" systems. The AI will do the heavy lifting (like gathering data, formatting, or writing drafts), but human experts will always review and make the final decisions. Shape the Future: Help plan the long-term technical roadmap for our internal AI infrastructure to ensure our tools continuously empower our workforce.

What You Need (Technical Skills): AI Frameworks: Real-world experience building AI agents using orchestration frameworks like LangGraph, AutoGen, CrewAI, or custom state-machine-based LLM routing. The Basics: Strong Python skills, experience with advanced prompting (e.g., ReAct), and knowledge of connecting language models to Vector Databases (RAG architectures). System Building: You know how to connect AI securely to external tools (APIs, webhooks, backend databases) to enable actual task execution. Testing & Reliability: Experience making sure AI models actually do what they are supposed to do without hallucinating, using evaluation frameworks (like LangSmith, Ragas, or TruLens).

Who You Are: You Care About the User: You want to build intuitive tools that your coworkers actually want to use because it visibly reduces their daily stress. You Fix Broken Processes: You can look at a messy, confusing Standard Operating Procedure and figure out how to streamline it using a combination of AI and human teamwork. You Speak Plain English: You can write complex code, but you can also explain how it works to team members who don't have an engineering background.