AI Automation Engineer

United States Digital Space LLC; Maharashtra; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Budget for AI tools, courses, and conferences

AI Happy hour every alternate Friday

Opportunities to work with latest AI technologies

Job summary

United States Digital Space LLC is seeking a hands-on AI Automation Engineer to lead AI adoption across the organization. This role involves solving real business problems with AI solutions, collaborating with various teams to drive automation. Ideal candidates will have 2–4 years of experience in software development or AI implementation and strong proficiency in Python and JavaScript.

Key responsibilities include building AI-powered tools, automating workflows, and establishing best practices for AI development. The company offers competitive salaries, budget for AI tools, and opportunities to work with the latest technologies.

Qualifications

• 2–4 years of experience in software development, automation engineering, or AI implementation.
• Hands-on experience with AI platforms and prompt engineering.
• Working knowledge of workflow automation tools.

Responsibilities

• Design and implement LLM-powered tools and intelligent agents.
• Integrate disparate systems through APIs and custom connectors.
• Document processes and create self-service tools for non-technical users.

Skills

Python

JavaScript/Node.js

AI platforms (OpenAI, Claude, Gemini)

LangChain

Vector databases (Pinecone, Chroma, Weaviate)

n8n or similar workflow tools

API design

Workflow automation

Job description

About the Role

We're seeking a hands‑on AI Automation Engineer to spearhead AI adoption across our organization. This isn't about building models from scratch — it's about solving real business problems with practical AI solutions. You'll collaborate with product, operations, marketing, and engineering teams to identify automation opportunities, build AI‑powered tools, and streamline workflows using LLMs, APIs, and automation platforms. If you thrive on experimentation, rapid prototyping, and seeing your solutions make immediate impact — this role is for you.

What You'll Do: Build & Deploy AI Solutions

• Design and implement LLM‑powered tools, copilots, and intelligent agents using OpenAI APIs, LangChain, and vector databases
• Create custom chatbots and knowledge assistants using internal data and RAG architectures
• Develop AI‑driven anomaly detection tools

Automate & Orchestrate

• Use platforms like n8n, Zapier, or Make to build scalable workflow automations
• Integrate disparate systems through APIs, webhooks, and custom connectors
• Design multi‑step AI agent workflows for complex business processes

Collaborate & Scale

Partner with teams to identify pain points and build targeted AI solutions.

• Document processes and create self‑service tools for non‑technical users
• Establish best practices and frameworks for AI tool development
• Measure impact through usage analytics and feedback loops

What We're Looking For

Must‑Haves

2–4 years of experience in software development, automation engineering, or AI implementation.

• Strong proficiency in Python and JavaScript/Node.js
• Hands‑on experience with AI platforms (OpenAI, Claude, Gemini) and prompt engineering
• Working knowledge of LangChain, vector databases (Pinecone, Chroma, Weaviate), and RAG patterns
• Experience with n8n or similar workflow automation tools (Zapier, Make, Retool)
• Understanding of API design, webhooks, and system integrations

Nice‑to‑Haves

• Knowledge of fraud detection, anomaly detection, or ML monitoring systems
• Familiarity with affiliate marketing, e‑commerce, or digital marketing workflows
• Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker)
• Background in data engineering or working with large datasets

Success Metrics - First 6 Months

• Launch 3+ high‑impact AI tools or automations in production
• Demonstrate measurable time savings or efficiency gains across 2+ departments
• Establish reusable AI workflows adopted beyond initial implementation scope
• Build foundation for organization‑wide AI adoption and scaling

Ongoing

• Maintain 90%+ uptime for critical AI automation systems
• Achieve positive ROI on AI implementations through cost savings or revenue generation
• Enable non‑technical teams to independently leverage AI tools you've built
• Training of existing team members

Sample Projects You Might Work On

AI‑Powered Fraud Detection: Build real‑time anomaly detection systems using transaction data and behavioral patterns.

• Internal Knowledge Assistant: Create ChatGPT‑like solutions using company data, documentation, and knowledge bases
• Intelligent Process Automation: Design multi‑agent workflows that handle complex business processes end‑to‑end
• Customer Support Copilot: Develop AI assistants that help support teams with intelligent response suggestions and case routing
• Marketing Automation: Build AI‑driven content generation and campaign optimization tools

Why Join Us

• Pioneer Role: Be our first AI‑focused engineer and shape how we approach intelligent automation
• Immediate Impact: Your solutions will directly improve how teams work and scale operations
• Creative Freedom: Experiment with cutting‑edge AI tools and techniques to solve real business problems
• Cross‑Functional Collaboration: Work closely with product, marketing, and operations teams to ship meaningful solutions
• Growth Opportunity: Help establish AI best practices and potentially lead a team as we scale

What We Offer

Competitive salary.

• Budget for AI tools, courses, and conference attendance
• Opportunity to work with latest AI technologies and platforms
• Direct access to leadership and input on technical strategy
• AI Happy hour every alternate Friday – Team members work together exploring advancements in AI