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The Role
Designs and maintains end-to-end business process automations spanning browser/RPA tools, workflow platforms, backend services, APIs, databases, internal dashboards, and AI-agent workflows. The role develops reliable integrations, applies RAG and vector search, deploys containerized solutions through CI/CD, troubleshoots failures, documents architectures, and identifies manual processes suitable for deterministic or AI-driven automation. Collaboration with product, engineering, and business stakeholders is required.
Summary Generated by Built In
Business Process Automation (BPA) Engineer
Summary
We are seeking a dynamic Business Process Automation Engineer with two years of experience to join our team in Kolkata on a full-time, onsite basis. This pivotal role involves architecting and deploying comprehensive automation strategies that bridge browser-based interactions, backend services, and internal utility tools. The successful candidate will leverage both established automation frameworks and cutting-edge AI agent technologies to transform manual, repetitive workflows into efficient, scalable, and observable systems. By identifying opportunities for optimization, you will drive the creation of robust automated solutions that enhance operational productivity and reliability across the organization.
Responsibilities
- Architect, develop, and sustain end-to-end automation solutions encompassing browser-based RPA, workflow orchestration, and system integrations.
- Engineer robust browser and end-to-end test suites using Playwright, Selenium, or Puppeteer within JavaScript, TypeScript, or Python environments.
- Construct and oversee workflow automations utilizing platforms like n8n, Zapier, Make, or Power Automate to seamlessly connect internal applications with external services.
- Create and maintain backend services and REST/GraphQL APIs using Node.js, Python, PHP/Laravel, or Java to support automated workflows.
- Develop user-friendly internal tools, administrative panels, and monitoring dashboards using React, Vue, or standard HTML-CSS-JS stacks.
- Implement AI-driven workflows by leveraging LLM APIs, advanced prompt engineering, and agent frameworks to handle complex, judgment-based tasks.
- Utilize Retrieval-Augmented Generation (RAG) and vector search methodologies to enable automations that can reason over internal documentation and datasets.
- Manage data persistence and state through MySQL, PostgreSQL, or MongoDB, while implementing message queues for event-driven automation logic.
- Standardize deployment processes using Git, CI/CD pipelines, and containerization technologies to ensure reliable testing and release of automation assets.
- Diagnose and resolve integration failures, conducting thorough root-cause analysis to improve system stability.
- Proactively detect manual or error-prone processes and recommend optimal automation strategies, whether through RPA, workflow tools, custom code, or AI agents.
- Maintain comprehensive documentation regarding automation architecture and operational runbooks while collaborating closely with product, engineering, and business teams.
Requirements
Automation & RPA Proficiency
- Demonstrated expertise with browser automation frameworks including Playwright, Selenium, or Puppeteer.
- Proven track record utilizing workflow or iPaaS tools such as n8n, Zapier, Make, or Power Automate.
- Familiarity with enterprise RPA platforms like UiPath, Automation Anywhere, or Blue Prism is advantageous.
Backend Development Capabilities
- Strong proficiency in scripting and programming using JavaScript, TypeScript, Python, or PHP (Laravel), with the ability to build and sustain APIs.
- Solid grasp of REST/GraphQL API standards, authentication protocols, and third-party integration patterns.
- Competence in SQL database management (MySQL/PostgreSQL) with exposure to NoSQL solutions like MongoDB.
- Understanding of asynchronous automation through message queues and event-driven architectures (e.g., RabbitMQ, Kafka).
Frontend & Internal Tooling
- Practical experience with JavaScript/TypeScript and frameworks like React or Vue for creating lightweight dashboards and admin interfaces.
- Proficiency in HTML and CSS for rapid UI development and maintenance.
Agentic AI & LLM Integration
- Working knowledge of LLM APIs (such as OpenAI or Anthropic), prompt engineering techniques, and function/tool calling mechanisms.
- Experience with agent orchestration frameworks like LangChain, LangGraph, CrewAI, or AutoGen for building autonomous workflows.
- Foundational understanding of RAG patterns and vector database technologies (e.g., Pinecone, Weaviate, pgvector).
- Ability to critically assess when AI agents are preferable to deterministic automation and to validate the quality and safety of AI outputs.
DevOps & Cloud Competency
- Proficiency with version control systems (Git), branching strategies, and CI/CD pipelines (GitLab CI, GitHub Actions, Jenkins).
- Experience with Docker containerization and familiarity with cloud environments (AWS, Azure, GCP) is beneficial.
Additional Qualifications
- Prior experience with Kubernetes or serverless computing platforms (AWS Lambda, Azure Functions) is a plus.
- Background in deploying multi-agent or tool-integrated AI systems in production environments.
- Knowledge of observability and monitoring tools for automation pipelines, including log analysis and alerting.
- Experience in mentoring junior team members or leading automation adoption initiatives across departments.
Skills Required
- Hands-on experience with browser automation tools such as Playwright, Selenium, or Puppeteer
- Hands-on experience with workflow or iPaaS automation tools such as n8n, Zapier, Make, or Power Automate
- Strong programming or scripting experience in JavaScript, TypeScript, Python, or PHP Laravel
- Ability to build and maintain REST or GraphQL APIs
- Understanding of authentication, authorization, and third-party integration patterns
- Good SQL and database fundamentals, including MySQL or PostgreSQL
- Working knowledge of JavaScript or TypeScript with React or Vue
- Comfortable with HTML and CSS fundamentals
- Practical understanding of LLM APIs, prompt engineering, and function or tool calling
- Familiarity with agent frameworks such as LangChain, LangGraph, CrewAI, or AutoGen
- Basic understanding of RAG patterns and vector databases
- Ability to evaluate and validate AI-agent output for quality and safety
- Familiarity with message queues and event-driven patterns such as RabbitMQ or Kafka
- Working knowledge of Git, branching, merge requests, and CI/CD pipelines
- Exposure to Docker or containerization
- Exposure to RPA platforms such as UiPath, Automation Anywhere, or Blue Prism
- NoSQL exposure, particularly MongoDB
- Cloud platform experience with AWS, Azure, or GCP
- Experience with Kubernetes or serverless platforms
- Experience building multi-agent or tool-using AI systems in production
- Experience with observability and monitoring for automation pipelines
- Experience mentoring junior engineers or driving automation adoption
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The Company
What We Do
2COMS is an India-based recruitment and manpower consultancy that helps organizations meet workforce needs through leadership hiring, general and IT staffing, apprenticeship management, international recruitment, gig workforce solutions, payroll and compliance, and HR technology. The company serves employers across industries while connecting job seekers with domestic and global opportunities through technology-enabled, end-to-end workforce and talent-management services.
