AI Automation Specialist

OAKLANE FUND I LLC; Pune District; On-site; INR 800,000 - 1,200,000; Full time

Job summary

OAKLANE FUND I LLC is seeking an AI Workflow Automation Specialist based in Pune, India. This role will bridge business processes and AI capabilities, focusing on translating existing workflows into intelligent, automated systems.

You will collaborate with multiple departments to identify automation opportunities, design workflows, and optimize processes for increased efficiency and accuracy.

Qualifications

• Hands-on experience with automation tools.
• Strong understanding of workflow mapping and process design.
• Familiarity with AI tools and LLMs.
• Basic understanding of APIs and integrations.

Responsibilities

• Study and map existing manual workflows across teams.
• Replicate workflows using AI tools and automation platforms.
• Identify and design automated workflows for repetitive processes.
• Implement AI-based solutions using LLM APIs.
• Analyze workflows to identify inefficiencies.

Skills

Automation tools (Zapier, Make, n8n)

Workflow mapping and process design

AI tools and LLMs (OpenAI, Claude)

APIs, JSON, and integrations

System Integration

Workflow Automation

Artificial Intelligence (AI)

No-Code Development Platforms

Python

Job description

This role will act as a bridge between business processes and AI capabilities, ensuring that:

• Existing workflows are not just automated, but intelligently replicated and improved
• Teams can operate with higher speed, accuracy, and scalability

“The focus is not just on automation, but on deeply understanding how work is currently done and translating that into scalable AI-driven systems.”

Role Overview

We are looking for an AI Workflow Automation Specialist to design, replicate, and scale intelligent workflows across business functions. The role will focus on translating existing manual processes into AI-driven automated systems, improving efficiency, accuracy, and scalability.

This is a high-impact, cross-functional role working closely with Research, Operations, Finance, and Marketing teams to identify automation opportunities and deploy scalable solutions.

Key Responsibilities

1. Workflow Replication & Automation (Core Responsibility)

• Study and map existing manual workflows across teams (research, onboarding, reporting, operations)
• Break down processes into step-by-step logic and decision points
• Replicate these workflows using AI tools and automation platforms
• Ensure automation mirrors real-world decision-making with accuracy and consistency

2. Workflow Automation & Optimization

• Identify repetitive and manual processes and design automated workflows
• Build end-to-end automation pipelines using tools such as Zapier, Make, n8n, or similar platforms
• Continuously optimize workflows to reduce turnaround time and manual intervention

3. AI Integration & Use Case Development

• Implement AI-based solutions using:
• OpenAI / LLM APIs
• Claude / GPT-based systems
• OCR, NLP, and document processing tools
• Develop automation use cases such as:
• Document analysis and summarization
• Automated research and reporting workflows
• Client onboarding and compliance automation
• Work with APIs, databases, and internal systems to integrate workflows
• Automate data movement across tools (Excel, CRM, internal platforms)
• Ensure data accuracy, validation, and audit trails

5. Process Improvement & Efficiency

• Analyze workflows and identify inefficiencies
• Reduce manual dependency and improve process speedWork with business teams to understand processes deeply
• Translate business logic into automation flows

Train teams and ensure adoption of automated systems

Key Skills & Requirements

Technical Skills

• Hands-on experience with automation tools (Zapier, Make, n8n, etc.)
• Strong understanding of workflow mapping and process design
• Familiarity with AI tools and LLMs (OpenAI, Claude, etc.)
• Basic understanding of APIs, JSON, and integrations

Analytical & Process Skills

• Ability to break down manual processes into structured logic flows
• Strong attention to detail and process accuracy
• Problem-solving mindset with focus on scalability

Soft Skills

• Strong communication and stakeholder alignment
• Ability to work cross-functionally
• High ownership and execution focus

Preferred Qualifications

• Experience in fintech / financial services / operations-heavy environments
• Exposure to low-code / no-code automation platforms
• Basic coding knowledge (Python preferred but not mandatory)

Seniority Level

• Mid-Senior level
• Investment Management

Employment Type

• Full-time

Job Functions

• Information Technology

Skills

• System Integration
• Workflow Automation
• JSON
• Artificial Intelligence (AI)
• No-Code Development Platforms
• Python (P)