Internal AI Automation Lead

About the Role

Anju Software is seeking an entrepreneurial, technical, execution-oriented Internal AI Automation Lead to identify, design, and deploy workflow automations across the business with agentic AI. This role is focused on eliminating internal friction, reducing manual work, and increasing operating leverage across Sales, Professional Services, Internal Operations, Customer Support, Finance, and HR.

You will operate using modern AI tools and automation frameworks to ship functional, production-ready internal solutions that save time, reduce cost, and improve execution speed.

You will be expected to ship working systems, not ideas.

What You’ll Do

Workflow Discovery & Prioritization

• Embed with business teams to observe manual, repetitive, or high-friction processes
• Map end-to-end workflows and identify automation opportunities
• Quantify time, cost, and risk reduction potential

Rapid Automation Development

Build Internal Tools Using

• Python, Node, or similar scripting languages
• LLM Coding Agents (Claude Code, Codex, etc.)
• RAG frameworks (LangChain, vector DBs)

Automation tools

• Integrate with internal systems (CRM, Jira, NetSuite, Teams, etc.)
• Deploy secure, production-grade internal automations

AI Application Design

• Translate messy operational tasks into structured automation logic
• Implement human-in-the-loop controls where required
• Ensure proper data handling and security where needed

What This Role Is NOT

• Not a product manager
• Not an AI research role
• Not a strategy-only position
• This is a hands-on builder role focused on operational leverage.

Required Experience

• 2+ years in software engineering, automation engineering, or technical operations
• Demonstrated ability to independently ship working automation projects
• Demonstrated ability to ship working agentic AI projects
• Experience building with LLM APIs and modern AI tooling
• Comfortable working across APIs and integrating disparate systems
• Strong understanding of data security and responsible AI use
• Highly self-directed; comfortable operating without detailed requirements

Ideal Candidate Traits

• Thinks “Why are humans doing this?” by default
• Bias toward shipping over perfection
• Comfortable prototyping and iterating quickly
• Able to operate in ambiguity and prioritize independently
• Balances speed with compliance awareness
• Understands business impact, not just technical elegance
• Stays fully up to date with latest AI developments

Bonus Experience

• Experience in life sciences, healthcare, or regulated environments
• Familiarity with audit trails and validation constraints
• Exposure to SaaS operations (sales, implementation, support)
• Experience with BI tools and financial reporting systems

Why This Role Matters

This role will help transform how the organization works internally - reallocating human expertise away from repetitive tasks and toward high-value work.

This is a rare opportunity to shape the operating model of a global life sciences software company through applied AI.

About Anju Software

Anju Software delivers end-to-end solutions for the life sciences industry, supporting clinical trials, medical affairs, and scientific data management with precision, compliance, and operational rigor. Our products help pharmaceutical, biotech, and medical device companies bring therapies to market faster and more efficiently.

Anju is part of Valsoft Corporation, a global acquirer and operator of vertical market software businesses. Valsoft invests with a long-term mindset, empowering each company to operate autonomously while benefiting from shared capital and operational expertise.

We are entering a new phase of growth, focused on embedding AI deeply into our systems and workflows. We are excited to add talent who will help lead our transformation into a truly agentic, automation-driven organization that redefines how work gets done in life sciences.

Key skills/competency

• AI Automation
• LLM APIs
• Python
• Node.js
• RAG Frameworks
• Workflow Optimization
• System Integration
• Data Security
• Agentic AI
• Software Engineering