Lead – AI & Intelligent Automation - ED Tech Industry

We are a UK-based ecommerce company looking for a hands-on AI Automation & Integrations Engineer based in India to work directly with the founder.

Our goal is to progressively build an AI-first ecommerce operation by using AI, automation, APIs and software integrations to reduce manual work, improve decision-making and identify opportunities to increase revenue and profitability.

This is not a traditional data science or prompt engineering role. We are looking for a builder who can understand real business problems and turn them into reliable working systems.

What you will work on

• Build AI-powered automations and internal tools
• Connect ecommerce platforms and business systems through APIs and webhooks
• Build AI agents and LLM-powered workflows
• Automate repetitive operational processes
• Work with Shopify and ecommerce data
• Build automated reporting, alerts and business intelligence
• Develop inventory forecasting and operational tools
• Integrate AI with customer service, marketing, fulfilment and other business systems
• Identify new areas where AI and automation can improve efficiency, revenue or profitability
• Maintain and improve existing automations

Required skills

• Strong Python experience
• Strong understanding of REST APIs and webhooks
• Experience building software integrations and automations
• Practical experience using LLM APIs such as Claude, OpenAI or Gemini
• Experience working with databases such as PostgreSQL
• Git/GitHub
• Strong problem-solving ability
• Good written and spoken English
• Ability to work independently and take ownership of projects

Highly desirable

• n8n
• Shopify Admin API
• GraphQL
• JavaScript/TypeScript
• AI agents
• LangGraph/LangChain
• MCP
• AWS/GCP
• Ecommerce experience
• Data extraction/scraping
• Customer service or marketing integrations

We value real projects and practical ability more than certificates.

Candidates should be comfortable showing examples of AI automations, integrations, agents or software systems they have personally built.

Location: Remote, India

Experience: 3-7 years

Salary: ₹15-22 LPA depending on experience

Shivalik Design Pvt Ltd — GOTS-certified garment export house in Faridabad, Haryana, manufacturing for UK/EU brands. We are hiring for a full-time, on-site role in Faridabad.

About the role:

We are building AI-driven automation across our factory and export operations. As AI Automation Lead (Operations), you will design, build, and own AI/automation workflows that connect our ERP, WhatsApp, Google Sheets, and email — and roll them out across production, quality, merchandising, and logistics.

Responsibilities:

- Design and deploy automation workflows across ERP, WhatsApp Business, Google Sheets/Drive, and email.

- Build and maintain LLM-powered agents for document processing, query handling, status updates, and reporting.

- Own the automation backlog for factory operations: production planning, dispatch tracking, sample approvals, QC, inventory, and shipping documentation.

- Integrate internal systems (ERP, PLM, messaging) via APIs, webhooks, and low-code platforms.

- Set standards, document flows, train operations staff, and measure impact (time saved, error rate, throughput).

- Collaborate with IT and operations leadership on data, security, and scaling.

Requirements:

- 3–5 years experience with n8n, Make (Integromat), Python, and LLM agents.

- Hands-on automation across ERPs, WhatsApp Business API, Google Workspace (Sheets, Drive, Gmail, Calendar), and email workflows.

- Strong Python; comfort building REST API connectors, webhooks, and scheduled jobs.

- Experience prompting, fine-tuning, or orchestrating LLMs (OpenAI, Anthropic, Gemini, open-source) into agentic workflows.

- Comfort working on-site with factory/operations teams and translating business needs into automation.

Nice to have:

- Garment/apparels/exports domain experience.

- Experience with SAP, Oracle, Tally, Zoho, or similar ERPs.

- Knowledge of OCR, document extraction, and structured data pipelines.

Compensation: ₹14–24 LPA, full-time, on-site at Faridabad (Haryana).

Shivalik Design Pvt Ltd — GOTS-certified garment export house in Faridabad, Haryana, manufacturing for UK/EU brands. We are hiring for a full-time, on-site role in Faridabad.

About the role:

We are looking for an AI Automation Specialist to design and run no-code / low-code automation and AI-agent workflows that connect our factory, supply-chain and office systems.

What you'll do:

- Build automation workflows using no-code tools (n8n, Zapier, Make) and AI assistants.

- Integrate ChatGPT and Gemini APIs into recurring operational workflows (document handling, data extraction, summaries, alerts).

- Connect ERP, WhatsApp, Google Sheets, email and other tools used across factory operations.

- Own day-to-day monitoring, error-handling and iteration of automation runs.

- Translate operational requirements into working AI-agent flows and share runbooks.

What we're looking for:

- 1–3 years of hands-on no-code automation / AI-agent work.

- Practical experience with n8n, Zapier and Make.

- Working knowledge of ChatGPT and Gemini APIs and how to plug them into automation.

- Comfortable with spreadsheets, mail and WhatsApp integrations.

- Based in, or willing to relocate to, Faridabad (on-site, full-time).

About the company

We are an AI diffusion company. We partner with midmarket companies in asset-heavy, regulated industries to co-build deeply industry-specific agentic and machine learning solutions, which then get diffused across the industry through revenue-share and equity-linked models.

Our Past

We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs.

Team

Our team of 20+ employees consists of data scientists, AI/ML Engineers, and mathematicians from top engineering and research institutes such as IITs, CERN, IISc, UZH. Our team includes academicians, IBM Research Fellows, and former founders. This role focuses on healthcare and RCM, working alongside our AI/ML engineers, data scientists and domain specialists.

Work you’ll do

We are looking for an experienced AI engineer with hands-on experience in healthcare and revenue cycle management (RCM). You will build and deploy AI agents, automations and data workflows for healthcare operations, with a focus on the US market.

The work includes payer-portal automation for claim status and EOB retrieval, voice agents for payer follow-up, analysis of claim journeys and bottlenecks, and AI-assisted insights into practice performance. You will work directly with billing and operations teams, owning delivery from understanding the workflow through deployment, evaluation and ongoing improvement.

Responsibilities

• Own AI agent and automation workflows from requirements through design, development, deployment and monitoring.
• Build agents that work across payer portals, healthcare documents, practice-management systems, EHR-connected tools and voice channels.
• Turn fragmented healthcare data into validated, structured inputs for automation and analysis.
• Work directly with billing and operations teams to understand workflows, resolve exceptions and improve systems based on user feedback.
• Evaluate workflow accuracy and completion rates using representative test sets. Monitor failures and operating costs, and implement retries, exception queues and human escalation
• Implement approved privacy and security controls for sensitive healthcare data, including access restrictions, audit trails and safeguards against exposing patient information in logs or model inputs.
• Diagnose and improve failures across data ingestion, integrations, agent execution and user-facing workflows.
• Measure operational outcomes, such as time saved, reduced manual effort and faster turnaround, with the teams using the systems.

Who you are

You are a passionate and results-oriented engineer who is driven by the potential of AI/ML to revolutionize processes, enhance products, and ultimately improve user experiences. You thrive in dynamic environments and are comfortable navigating ambiguity. You possess a strong sense of ownership and are eager to take initiative, advocating for your technical decisions while remaining open to feedback and collaboration.

You are adept at working with real-world, often imperfect data, and have a proven ability to develop, refine, and deploy AI/ML models into production in a cost-effective and scalable manner. You are excited by the prospect of making US healthcare operations faster and more reliable, for the people who run them and the patients they serve.

Skills & Requirements

Must have

• At least 2 years of professional AI engineering experience, including deploying and supporting systems used in real operations. Internships and academic projects alone do not meet this requirement.
• Experience deploying and supporting an LLM-based application or AI agent in production, using capabilities such as retrieval-augmented generation (RAG), tool calling or multi-step workflows.
• Preferably has hands-on experience building AI or automation solutions for healthcare RCM workflows, such as claim status checks, accounts receivable follow-up, denial management, payment posting or payer interactions.
• Preferably has practical understanding of how billing teams work, how claims move through the revenue cycle, and how incomplete data and exceptions affect execution.
• Ability to explain your engineering contribution, how the system was evaluated, what failed and how you addressed it.
• Strong production Python and SQL skills, experience integrating APIs, and working knowledge of JavaScript/TypeScript for browser automation or application integration.
• Experience automating workflows across APIs, browsers or user interfaces, using tools such as Playwright, Selenium or UiPath, with error handling and human escalation where needed.
• Experience deploying and monitoring applications on at least one cloud platform—AWS, Azure or GCP—using containers, version control and automated testing.
• Experience handling imperfect inputs such as scanned PDFs, inconsistent portal layouts or incomplete records, with validation and exception handling.
• Experience working directly with billing or operations teams, improving systems based on their feedback, and demonstrating outcomes such as time saved, claims processed or reduced turnaround time.
• Experience handling sensitive healthcare data through appropriate access controls, secure logging and approved data-handling practices.

Preferred experience

• Experience delivering solutions for US healthcare providers, RCM companies or payer-facing operations, including working with US billing teams and payer workflows.
• Experience with practice-management or EHR integrations, payer portals, explanation of benefits (EOB) documents or electronic remittance advice (ERA) data.
• Experience analyzing claim histories, revenue-cycle bottlenecks or practice performance.
• Eperience building voice agents or integrating speech-to-text and text-to-speech services is a plus.
• Familiarity with Model Context Protocol (MCP) integrations.
• Experience with Kubernetes, serverless applications or event-driven architectures.

Working with us

We are a young company, but we believe strongly in thinking long-term, while acting with urgency. Our ethos is rooted in innovation, efficiency and high-quality outcomes. We believe the future of work is AI-augmented and boundaryless.

Here are some of our guiding principles:

• Think in decades. Act in hours. As an independent company, our moat is time. While our decisions are for the long-term horizon, our execution will be fast – measured in hours and days, not weeks and months.
• Own the canvas. Throw yourself in to build, fix or improve – anything that isn’t done right, irrespective of who did it. Be selfish about improving across the organization – because once the rot sets in, we waste years in surgery and recovery.
• Use data or don’t use data. Use data where you ought to but not as a ‘cover-my-back’ political tool. Be capable of making decisions with partial or limited data. Get better at intuition and pattern-matching. Whichever way you go, be mostly right about it.
• Avoid work about work. Process creeps on purpose, unless we constantly question it. We are deliberate about committing to rituals that take time away from the actual work. We truly believe that a meeting that could be an email, should be an email and you don’t need a person with the highest title to say that out loud.
• High revenue per person. We work backwards from this metric. Our default is to automate instead of hiring. We multi-skill our people to own more outcomes than hiring someone who has less to do. We don’t like squatting and hoarding that comes in the form of hiring for growth. High revenue per person comes from high quality work from everyone. We demand it.

About the Role

We are a 25-year-old company building toward a technology-centered workforce where AI agents and automation handle more of the day-to-day work, supported by people with specialized expertise.

We are automating our existing workflows, expanding our use of agentic AI, launching a sister company next year, and building a fleet of Hermes AI agents to delegate and manage work.

We are looking for a hands-on AI Systems Architect & Company Technology Lead to help build, connect, and continuously improve these systems.

Key Responsibilities

·       Own and improve our Microsoft 365 technology environment and AI-powered workflows.

·       Build automations connecting email, meetings, Planner, and other business systems.

·       Research, test, implement, and maintain AI tools and integrations.

·       Build and manage the Hermes agent fleet, including shared memory, delegation rules, workflows, and reporting.

·       Connect AI agents to business systems and SaaS platforms using APIs, webhooks, databases, and automation tools.

·       Help build an internal agentic marketing department by selecting and connecting the right AI tools.

·       Continuously troubleshoot, improve, and document our technology systems.

·       Help apply these systems as the company expands into new ventures.

Must-Haves

·       Strong technical problem-solving and self-teaching ability.

·       Solid hands-on experience building, configuring, and managing AI agents.

·       Experience connecting AI agents and multiple SaaS platforms using APIs, webhooks, databases, and automation tools.

·       Comfortable with Python, JavaScript, or similar.

·       Ability to independently research, build, test, troubleshoot, and improve systems.

·       Strong interest in AI, automation, and emerging technology.

This is a rapidly changing field therefore Direct experience working with actual Hermes agents is not required. However, hands-on experience working with AI agents is required.

What we need is someone who already understands the fundamentals of deploying AI agents, giving them instructions and tools, connecting them to other systems, and making them work reliably in a real business environment.

The Opportunity

This is an opportunity to help us discover and implement what is actually possible with AI today, and to lead the process of expanding workflows along with the rapidly advancing capabilities — this role is not only to implement a technology that has already been figured out.

Job Summary

We are looking for a Software Engineer with 3–5 years of experience in Python development, browser automation, Azure cloud technologies, and API development. The ideal candidate should have hands-on experience in building automation solutions, cloud-native applications, and backend services using Python while collaborating with cross-functional teams to deliver scalable and reliable enterprise solutions.

Key Responsibilities

* Design, develop, test, and maintain Python-based applications and automation solutions.

* Develop browser automation scripts for enterprise web applications using Python.

* Create robust and dynamic element selectors to handle changing web interfaces.

* Implement exception handling, retry mechanisms, logging, and monitoring in automation solutions.

* Develop solutions to handle authentication workflows and CAPTCHA scenarios where permitted.

* Build and maintain RESTful APIs using FastAPI or similar Python frameworks.

* Develop serverless applications using Azure Functions and integrate with Azure services.

* Design and implement integrations using Azure Logic Apps, Service Bus, Storage Accounts, and Key Vault.

* Deploy and manage applications using Azure Container Registry (ACR), Azure Container Apps, and Azure Container Instances (ACI).

* Configure and manage KEDA for event-driven application scaling.

* Develop and maintain frontend applications using React.js, Node.js, or similar modern JavaScript frameworks.

* Design and optimize database solutions using SQL Server, PostgreSQL, or Azure Cosmos DB.

* Troubleshoot production issues and implement permanent fixes.

* Participate in code reviews, testing, deployment, and release activities.

* Follow coding standards, security best practices, and application performance guidelines.

Required Skills

Python Development

* Strong experience in Python programming.

* Experience developing scalable backend applications and automation solutions.

* Experience with asynchronous programming and API integrations.

Browser Automation

* Hands-on experience in browser automation using Python libraries such as Playwright or Selenium.

* Experience creating dynamic selectors and handling dynamic web elements.

* Strong understanding of synchronization techniques, waits, retries, and exception handling.

* Experience implementing logging, monitoring, and debugging for automation solutions.

* Familiarity with CAPTCHA handling approaches and authentication workflows.

Azure Cloud

* Hands-on experience with Azure Functions.

* Experience with Azure Logic Apps.

* Experience using Azure Storage Accounts.

* Experience with Azure Service Bus.

* Experience with Azure Key Vault.

* Understanding of cloud-native application design and Azure security best practices.

Containerization & Deployment

* Experience with Azure Container Registry (ACR).

* Experience deploying applications to Azure Container Apps.

* Experience with Azure Container Instances (ACI).

* Experience configuring and managing KEDA for event-driven autoscaling.

* Familiarity with container-based deployments and application lifecycle management.

### API Development

* Experience building REST APIs using FastAPI or similar Python frameworks.

* Strong understanding of REST principles, JSON, authentication, and API integrations.

Databases

* Experience with SQL Server and/or PostgreSQL.

* Experience with Azure Cosmos DB.

* Ability to write efficient SQL queries and optimize database performance.

Frontend Development

* Experience with React.js, Node.js, or similar frontend technologies.

* Understanding of modern web application architecture and API consumption.

Additional Skills

* Experience with Git and version control.

* Strong debugging and analytical skills.

* Good communication and teamwork skills.

Preferred Skills

* Experience with OCR and document processing solutions.

* Experience with Azure AI or AI-based services.

* Experience with event-driven architectures.

* Experience working in Agile/Scrum environments.

* Experience with automation platforms such as UiPath is an added advantage.

Education

Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field.

Automation Anywhere Developer

Experience: 4–7 Years

Work Mode: Remote

Ctc-6-8 lpa

Duration: 2 months + Extension

Type: Contract

Payroll: Candidates will be on your payroll

Job Summary

We are looking for an experienced Automation Anywhere Developer with 4–7 years of experience in Robotic Process Automation (RPA) to design, develop, implement, and maintain automation solutions. The ideal candidate should have strong hands-on experience with Automation Anywhere, process automation, bot development, and troubleshooting.

Key Responsibilities

- Design, develop, test, and deploy RPA bots using Automation Anywhere.

- Analyze business processes and identify opportunities for automation.

- Develop reusable, scalable, and efficient automation workflows.

- Work with business stakeholders to gather requirements and prepare technical documentation.

- Integrate RPA solutions with enterprise applications, databases, APIs, web applications, and Excel.

- Monitor bot performance, troubleshoot issues, and implement enhancements.

- Follow automation development standards, security guidelines, and best practices.

- Collaborate with business analysts, QA teams, and other developers to ensure successful delivery.

Required Skills

- 4–7 years of hands-on experience in RPA development.

- Strong expertise in Automation Anywhere, preferably Automation 360.

- Experience in bot development, debugging, exception handling, and scheduling.

- Knowledge of Excel automation, database operations, and application integration.

- Experience with REST APIs, SQL, web applications, and Windows-based applications.

- Understanding of queues, credential management, reusable components, and bot deployment.

- Strong analytical, problem-solving, and communication skills.

Preferred Skills

- Experience with enterprise-scale RPA implementations.

- Knowledge of Control Room administration and bot lifecycle management.

- Experience with version control, production support, and automation documentation.

- Exposure to Agile development methodologies

Key Skills:

• Agentic AI / AI Agents

• Python or Java

• LLMs & Generative AI

• RAG & Vector Databases

• LangChain / LangGraph / AutoGen / CrewAI

• REST APIs & Microservices

• Prompt Engineering

• AI Workflow Automation

Roles & Responsibilities:

• Design and develop AI agents and agentic workflows

• Build scalable backend services using Python or Java

• Integrate LLMs, APIs, tools, and external systems into AI workflows

• Develop RAG-based solutions and intelligent automation

• Design multi-step AI workflows with tool/function calling

• Evaluate, monitor, and optimize AI agent performance

• Collaborate with engineering and product teams to deliver production-ready AI solutions

AUTOMATION ANYWHERE DEVELOPER

Company: Cloud Sara Technologies Pvt. Ltd.

Experience: 4–7 Years

Work Mode: Remote

CTC: ₹6–8 LPA

Contract Duration: 2 Months + Extension

Employment Type: Contract

Payroll: Candidates will be on our payroll

Job Summary

We are looking for an experienced Automation Anywhere Developer with 4–7 years of hands-on experience in Robotic Process Automation (RPA). The candidate will be responsible for designing, developing, testing, deploying, and maintaining automation solutions using Automation Anywhere.

Key Responsibilities

• Design, develop, test, and deploy RPA bots using Automation Anywhere.
• Analyze business processes and identify automation opportunities.
• Build reusable, scalable, and efficient automation workflows.
• Gather business requirements and prepare technical documentation.
• Integrate automation solutions with enterprise applications, databases, APIs, web applications, and Excel.
• Monitor bot performance, troubleshoot issues, and implement enhancements.
• Follow automation development standards, security guidelines, and best practices.
• Collaborate with business analysts, QA teams, and developers to ensure successful delivery.

Required Skills

• 4–7 years of hands-on experience in RPA development.
• Strong expertise in Automation Anywhere, preferably Automation 360 (A360).
• Experience in bot development, debugging, exception handling, and scheduling.
• Knowledge of Excel automation and database operations.
• Experience with REST APIs, SQL, web applications, and Windows-based applications.
• Understanding of queues, credential management, reusable components, and bot deployment.
• Strong analytical, problem-solving, and communication skills.

Preferred Skills

• Experience with enterprise-scale RPA implementations.
• Knowledge of Control Room administration and bot lifecycle management.
• Experience with version control, production support, and automation documentation.
• Exposure to Agile development methodologies.

.

Role Overview 

We are looking for an AI Engineer to design, build, and ship production AI systems, including agentic AI applications, for enterprise clients. This is a hands-on engineering role: you will write production code, build and evaluate models and agents, and work closely with architects and product teams to take solutions from prototype to scale. 

Key Responsibilities 

Design and build agentic AI systems: agent workflows, tool/function-calling, memory, and human-in-the-loop patterns. Build and productionise RAG pipelines, prompt-based applications, and LLM integrations across providers. Develop and maintain data and ML pipelines: feature engineering, model training, evaluation, and monitoring. Integrate AI systems with enterprise applications (CRMs, ERPs, ITSM tools) via APIs, events, and MCP-based tool servers. Implement guardrails, prompt-injection defences, and evaluation frameworks to keep AI systems safe and reliable in production. 

Write clean, tested, production-grade code and participate actively in code and design reviews. 

Collaborate with architects, product managers, and delivery teams to translate requirements into working AI solutions. Troubleshoot and optimise AI systems for accuracy, latency, and cost in production. 

Required Qualifications 

8–12 years of hands-on software engineering experience, with a strong, unbroken technical track record. Hands-on experience building and shipping AI/ML systems in production, not just POCs. 

Practical experience with agentic AI systems and at least one major agent framework (LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, Bedrock Agents/Strands, or Semantic Kernel). 

Experience with LLM/GenAI systems: RAG pipelines, prompt engineering, structured outputs, and tool calling across providers. 

Strong Python skills (TypeScript/Node.js a plus), with production-grade testing, CI/CD, and API design practices. Working knowledge of ML fundamentals: model evaluation, feature engineering, and experimentation. Cloud-native experience on AWS and/or Azure: containers, serverless, event backbones, and vector databases. Understanding of LLM safety and reliability practices: guardrails, prompt-injection defences, and observability.