Full-Stack Engineer - AI & Workflow Integrations

Lucid Growth Media; Jaipur; On-site; INR 446,000 - 670,000; Full time

Job summary

Lucid Growth Media in Shyamnagar, Jaipur, Rajasthan, seeks an experienced software engineer to build and integrate TypeScript/Node.js APIs with React frontends. You will combine MCP, tool-using agents and low-code workflows that include custom code, supported by AI coding tools.

You will work with a backend lead and automation engineers to improve interfaces, connect data to dashboards and make workflows maintainable and observable. On-site role requiring 3–5 years of on-site experience.

Qualifications

• Production TypeScript/JavaScript, Node.js, React and API integration experience.
• Working Python/FastAPI skills sufficient to diagnose, change and test existing APIs and asynchronous jobs.
• Hands-on experience shipping tool-calling AI features or MCP integrations, with the ability to explain authorisation and failure cases.
• Experience with at least one low-code workflow platform and writing the custom code needed around it.
• SQL/database fundamentals, authentication, webhooks and asynchronous processing.
• Practical testing, Git review, debugging and safe handling of credentials and sensitive data.
• Clear written English for specifications, prompts, task updates and review responses.
• Evidence of maintaining an integration after release and correcting problems based on feedback.

Responsibilities

• Build and improve TypeScript APIs, React interfaces and integrations with existing services.
• Maintain existing Python/FastAPI APIs and background jobs, with backend guidance for architecture changes.
• Implement MCP tools and agent workflows with defined inputs, permissions, and failure handling.
• Connect low-code workflows to APIs using webhooks, authentication and custom code.
• Ensure workflows are reliable with idempotency, retries and logs.
• Build curated analytics feeds and dashboards, validating results against source data.
• Improve frontend journeys with profiling, tests and acceptance criteria.
• Document plans before implementation and attach verification evidence.

Skills

TypeScript

JavaScript

Node.js

React

Python/FastAPI

MCP

AI tool calling

REST APIs

low-code workflows

SQL

Git

Tools

MCP tools and integration frameworks

Webhooks

Job description

Company: Lucid Growth Media
Website: https://lucidgrowthmedia.com/
Department: Engineering
Employment type: Full-time
Work mode: On-site
Job location: Shyamnagar, Jaipur, Rajasthan
Minimum experience: 3 years of professional experience
Maximum experience: 5 years of professional experience
Prior on-site development-team experience: At least 2 years
Monthly take-home salary: 40,000-60,000 - up to 60,000, based on demonstrated capability and relevant experience. The offer will include a salary breakdown.
Working schedule: Monday to Saturday; second and fourth Saturdays off. Sundays off.
Shift timing: 9:00 AM-6:00 PM (9-hour shift)
Application deadline: 30 September 2026

Skills

Skills: TypeScript, JavaScript, Node.js, React, Python/FastAPI maintenance, MCP, AI tool calling, REST APIs, low-code workflow integration, webhooks, SQL and Git.

Job description

Build useful integrations across application APIs, AI tools, workflow systems and user interfaces. You will combine TypeScript/Node.js and React development with MCP, tool-using agents and low-code workflows that include custom code.

You will work with a backend lead, an Android automation engineer and a browser automation engineer. The role includes improving existing interfaces, connecting reliable data to dashboards, and turning routine operational tasks into maintainable, observable workflows. Company-provided AI coding tools support development.

Responsibilities

• Build and improve TypeScript APIs, React interfaces and integrations with existing services.
• Maintain existing Python/FastAPI APIs and background jobs, with support from the backend lead on architecture and database changes.
• Implement MCP tools and agent workflows with defined inputs, permissions, failure handling and useful evaluation cases.
• Connect low-code workflows to APIs using webhooks, authentication and custom JavaScript or Python.
• Make workflows reliable through idempotency, retries, execution logs and clear recovery behaviour.
• Build curated analytics feeds and dashboards, checking that displayed results agree with source data.
• Improve selected slow or broken frontend journeys using profiling, tests and user-facing acceptance criteria.
• Document plans before implementation and attach verification evidence to completed tasks.

Required skills and experience

• Production TypeScript/JavaScript, Node.js, React and API integration experience.
• Working Python/FastAPI skills sufficient to diagnose, change and test existing APIs and asynchronous jobs.
• Hands-on experience shipping tool-calling AI features or MCP integrations, with the ability to explain authorisation and failure cases.
• Experience with at least one low-code workflow platform and writing the custom code needed around it.
• SQL/database fundamentals, authentication, webhooks and asynchronous processing.
• Practical testing, Git review, debugging and safe handling of credentials and sensitive data.
• Clear written English for specifications, prompts, task updates and review responses.
• Evidence of maintaining an integration after release and correcting problems based on feedback.

Experience with BI dashboards, incremental data feeds and agent evaluation is useful. You should be able to explain how a result was checked and when the system should report uncertainty or request human input.

How we work and hire

Work follows documented tasks, approval, implementation, review and verification. We value early escalation of blockers and honest reporting of results.

Selection includes a short AI-assisted initial interview, an approximately 60-90-minute practical using synthetic material, and an on-site technical discussion. Final hiring decisions include human review.

Screening questions — full wording

Please answer every part of the corresponding mandatory screening fields. Related questions are grouped into 10 answer fields.

1. How many years of professional software development or code-based automation experience do you have, excluding training courses?

2. How many years have you worked as part of an on-site development team?

3. Can you work full-time on-site in Shyamnagar, Jaipur, Rajasthan, from 9:00 AM to 6:00 PM, Monday to Saturday, with second/fourth Saturdays and Sundays off?

4. Is the published monthly take-home range of 40,000-60,000, up to 60,000 acceptable to you?

5. What is your notice period and earliest available joining date?

6. For TypeScript/Node.js, React and Python/FastAPI, indicate your experience level in each: shipped independently, maintained with support, personal project only, or no experience.

7. Have you shipped an MCP or tool-calling AI integration and a low-code workflow that used custom code? State what you personally implemented and name the technical framework or workflow platform; omit customer and confidential details.

8. In 80-120 words, describe an integration failure you diagnosed. Explain how you handled authentication, retries or duplicate processing, and how you verified the corrected result.

9. Where are you currently based? enter your current city, state and country.

10. If selected, can you start full-time on-site within seven calendar days of receiving a written offer, after completing any required release from your current role?

11. What is your plan for attending the Shyamnagar office daily from your joining date? State whether you will commute from your current location or relocate, and when the arrangement will be ready.

12. What are your three most important priorities in your next role? Rank three from technical ownership, learning and mentorship, compensation, job stability, predictable working arrangements, and team culture, or name another work-related priority. Briefly explain how this vacancy fits those priorities.

13. Describe a recent work commitment that was at risk of being missed. When did you flag the risk, what action did you personally take, and what was the final outcome?

14. Describe a time you received review feedback that you initially disagreed with. How did you evaluate it, what did you change or clarify, and how was the outcome checked?

15. You are working on an approved task when an urgent verbal request arrives. What would you do before changing the work, and how would you record the priority decision, approval and completion evidence?