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Senior Xano Developer

Senior Xano Developer at Unico Connect Private Limited · Remote, Mumbai · 3 - 5 years · Profitable · Remote friendly · Posted 7 Sep 2026

Unico Connect Private Limited's logo

Senior Xano Developer

Umama Sayed's profile picture
Posted by Umama Sayed
3 - 5 yrs
Best in industry
Remote, Mumbai
Skills
Xano
skill iconPostgreSQL
RESTful APIs
skill iconNodeJS (Node.js)
skill iconPython
REST API
skill iconExpress
FastAPI
NestJS
skill iconAmazon Web Services (AWS)
skill iconDocker
Database Design

Senior Xano Developer

Visual Backend Development, APIs & AI-Assisted Build

📍 Mumbai (On-site) | Full-time | 3-5 years


About the Role:

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.

We are hiring a Xano Developer who will build backend systems and APIs for our customer engagements on Xano, the visual backend development platform.

The mandatory requirement for this role is hands-on production backend engineering experience, including PostgreSQL data modelling and REST API design, in either a Node.js or Python environment.

Prior production work on Xano is strongly preferred.

The role is hands-on and customer-facing. You will own backend delivery across engagements: designing data models, building API flows in Xano, integrating third-party services, and partnering with frontend, mobile, and AI engineers on contracts and behaviour.

The work spans all three Xano build modes: no-code function stacks, custom code through Xano’s scripting and code blocks, and Xano’s AI assistance and agentic features.

A typical week includes a data model review for a new engagement, building a complex API flow in Xano, integrating a third-party webhook, and a customer working session on a new module.


Responsibilities:


Backend Delivery on Xano

Own end-to-end backend implementation on Xano: database schema, API endpoints, function stacks, background tasks, and integrations.

Ship production-ready work that meets customer requirements and engineering quality standards.


Build Across All Three Xano Modes

Use Xano’s no-code function stacks for standard CRUD and business logic.

Drop into custom code (JavaScript, Python through code blocks, expressions) where visual flows would be unwieldy.

Use Xano’s AI assistance and agentic features to accelerate routine build work.


Database Design on PostgreSQL

Own data model decisions for each engagement: table design, relationships, indexes, addons, and query performance.

Make schema choices that hold up as product usage grows and that map cleanly to the API contracts the client needs.


API Design and Integration

Design clean REST API contracts that the frontend, mobile, and third-party consumers can rely on.

Cover authentication, input validation, pagination, error handling, and rate limiting.

Integrate external services (payment gateways, messaging, storage, AI providers) through Xano’s connectors and custom requests.


Product Thinking and Solutioning

Translate fuzzy product asks from customers into concrete backend solutions.

Ask the right questions about edge cases, data lifecycle, multi-tenancy, and access control before building.

Push back on requirements that will cause pain later.


Customer Communication

Work directly with customers in discovery, design reviews, demos, and weekly working sessions.

Explain trade-offs in plain language, present options with clear recommendations, and write tight technical updates.


AI-Assisted Backend Development

Use Xano’s built-in AI features as well as external AI tools (Claude, Cursor, and similar) day to day for schema drafts, function stack scaffolding, query writing, integration setup, and review.

Develop strong instincts for when AI output is usable as-is and when it must be reworked.


Quality, Testing, and Reliability

Test the flows you ship.

Set up sensible error handling, logging, and alerts for the backend services you own.

Participate in incident response when something breaks in production.


Documentation and Handover

Document data models, API contracts, and non-obvious decisions inside Xano and in shared docs so the rest of the team and the customer can pick up the work without you in the room.


Continuous Learning

Track changes to the Xano platform, including new features, performance improvements, and AI capabilities.

Apply them to active engagements where they reduce build effort or improve product outcomes.


Requirements:


Hands-on Production Backend Engineering Experience (Mandatory)

Must have personally shipped backend systems to production for real users, with ownership of API design and data modelling.

POCs, coursework, and internal-only tools do not qualify.


3 to 5 Years of Professional Backend Engineering Experience

In either a Node.js or Python environment.

Candidates with slightly less time but strong demonstrated ownership are welcome to apply.


Strong PostgreSQL Skills

Schema design, indexing, query writing, and migrations on at least one production system.

Able to reason about query performance and design data models that hold up under realistic product usage.


REST API Design and Integration Depth

Comfort designing API contracts that are clean, predictable, and easy for frontend, mobile, and third-party consumers to work with.

Experience integrating external services such as payment gateways, messaging providers, storage, and AI APIs.


Familiarity with at Least One Node.js or Python Backend Stack

Such as Express, NestJS, Fastify, FastAPI, Django, or Flask.

Comfort reading and writing application code outside of visual environments when the situation calls for it.


Product Thinking and Solutioning

Ability to take a fuzzy product brief, ask the right questions, and propose a backend design that is fit for purpose.

Strong instincts for what to build first, what to defer, and what not to build.


Strong Written and Spoken English Communication

Confident in customer working sessions and design reviews.

Comfortable writing precise technical documentation and explaining trade-offs to non-engineering stakeholders.


Cloud and Deployment Fundamentals

Working knowledge of at least one of AWS, GCP, or Azure: deploying services, reading logs, managing environments, and basic operational tasks.

Familiarity with Docker is a plus.


Bachelor’s Degree

Bachelor’s degree in Computer Science, Information Technology, or a related engineering discipline.

Exceptional candidates with demonstrable production experience and strong portfolios may be considered without a formal degree.


Nice to Have

  • Prior production experience on Xano, Bubble, Retool, or comparable visual or low-code backend platforms
  • Full stack experience with React, Next.js, React Native, or Flutter
  • Experience integrating LLM APIs (OpenAI, Anthropic, Google) into backend workflows
  • Multi-tenant SaaS product experience
  • Prior agency, consulting, or product-engineering experience
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About Unico Connect Private Limited

Founded :
2014
Type :
Services
Size :
20-100
Stage :
Profitable

About

Unico Connect is an AI-native software development agency based in Mumbai, India, with a presence in Chicago, USA. Founded in 2014, the company has grown into a comprehensive technology partner for startups, mid-market companies, and enterprises across over 25 countries. With a team of 90 engineers, Unico Connect has successfully delivered more than 250 digital products, with a significant portion of its business focused on international markets. The company specializes in a wide range of services, including no-code and low-code development, traditional code-based engineering, and AI-native solutions. Their offerings encompass AI-powered product development, mobile and web applications, automated testing, and cloud services. Unico Connect serves various industries, such as education, fintech, healthcare, e-commerce, and logistics, providing tailored solutions that meet the unique needs of its clients. The company aims to democratize software development and empower businesses to create impactful digital products.
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  • Drive projects from concept to production with complete ownership.
  • Collaborate closely with product and design teams to build impactful user experiences.
  • Leverage modern AI-assisted development tools (Claude Code, Codex, Cursor, etc.) to maximize engineering productivity.


Our Tech Stack

Backend

  • Node.js
  • TypeScript
  • PostgreSQL
  • Redis
  • Elasticsearch

Frontend

  • SvelteKit
  • TypeScript
  • Tailwind CSS
  • tRPC
  • TanStack Query

(We’re pragmatic about technology—we choose the right tool for the job.)


What We’re Looking For

  • 2+ years of experience building and shipping production-grade software.
  • Strong expertise in TypeScript/JavaScript across frontend and backend development.
  • Deep understanding of software engineering fundamentals, system design, and scalable architecture.
  • Strong knowledge of relational databases, indexing strategies, query optimization, and database internals.
  • Experience building scalable REST APIs and real-time systems.
  • Familiarity with caching, asynchronous processing, networking, and distributed systems.
  • Experience using modern AI coding tools to accelerate development workflows.
  • Strong attention to engineering quality, including latency, reliability, race conditions, bundle size, and user experience.
  • Ability to balance speed with maintainability, making thoughtful engineering trade-offs.
  • Self-driven with a strong sense of ownership and a product mindset.


Intent > Experience > Skills

Why Join Dino Ventures?

  • Build products that solve real problems for millions of Bharat users.
  • Work across multiple products with opportunities to build new systems from scratch.
  • High ownership, minimal bureaucracy, and fast decision-making.
  • Collaborate with an ambitious, product-first engineering team.
  • See your work reach production from Day 1.
  • Shape the technical direction of products used at massive scale.

If you enjoy solving challenging engineering problems, care deeply about software craftsmanship, and want your work to make a real-world impact, we’d love to hear from you.

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Wissen Technology
at Wissen Technology
4 recruiters
Sandra Saravanan
Posted by Sandra Saravanan
Pune
7 - 10 yrs
₹12L - ₹25L / yr
MCP Server
skill iconNodeJS (Node.js)
skill iconJavascript
TypeScript
REST APIs
+6 more

 

Role Summary 

We are seeking a Senior Software Developer with strong backend engineering experience and an AI-first, automation-focused mindset. The ideal candidate is proficient in JavaScript, Node.js, TypeScript, APIs, and AWS, with experience building scalable integrations and working in microservices environments. 

The role will also contribute to the adoption of AI-assisted and agentic development practices, including working with Model Context Protocol (MCP), AI agents, reusable skills/tools, and automation to improve engineering productivity. 

We are looking for someone who can work independently, challenge existing approaches, identify opportunities for automation, and drive solutions with minimal supervision. 

Key Responsibilities 

  • Design, develop, test, and maintain backend services using JavaScript, Node.js, TypeScript, and XML. 
  • Build scalable integrations using REST/JSON APIs and microservice-based architectures. 
  • Develop and support services in an AWS cloud environment. 
  • Use AI-assisted development tools to improve coding, debugging, testing, documentation, analysis, and code review. 
  • Design and integrate MCP servers/tools to enable AI agents to securely interact with applications, APIs, data, and engineering systems. 
  • Build or contribute to reusable AI agents, skills, prompts, tools, and automated engineering workflows. 
  • Identify repetitive development and support activities that can be simplified or automated using AI or traditional automation. 
  • Perform code reviews and ensure adherence to engineering, security, and coding standards. 
  • Troubleshoot complex defects and production issues and perform structured root-cause analysis. 
  • Collaborate with QA, Product, Business Analysis, and Architecture teams to deliver high-quality solutions. 
  • Contribute to technical documentation, reusable solutions, and engineering knowledge sharing. 

Required Skills & Experience 

  • Strong experience with Node.js, JavaScript, and TypeScript. 
  • Strong experience designing and integrating REST APIs and JSON-based services. 
  • Experience working with XML, including parsing, validation, and transformations. 
  • Experience developing solutions in AWS and microservices environments. 
  • Strong debugging, troubleshooting, and production-support skills. 
  • Experience with AI-assisted software development tools such as Claude Code, GitHub Copilot, Cursor, Devin, or similar tools. 
  • Understanding of LLMs, AI agents, tool calling, and agentic workflows. 
  • Experience working with or building Model Context Protocol (MCP) servers and integrations. 
  • Understanding of secure API/tool integration, authentication, permissions, and data handling when exposing capabilities to AI agents. 
  • Ability to identify practical opportunities for AI, automation, and reusable engineering tooling. 
  • Experience with CI/CD, Git-based development, and modern software engineering practices. 
  • Experience performing code reviews and mentoring other developers. 
  • Strong analytical, problem-solving, written, and verbal communication skills. 

Preferred Skills 

  • Experience building AI-enabled developer tools, agents, or internal engineering platforms. 
  • Experience with prompt engineering, structured outputs, RAG, embeddings, or LLM APIs. 
  • Experience integrating engineering systems such as GitLab, Jira, CI/CD pipelines, APIs, databases, or observability platforms with AI agents. 
  • Experience creating reusable MCP tools or agent workflows used by multiple developers. 
  • Airline, travel, Offer/Order, reservation systems, or GDS experience is a plus. 

Mindset We Are Looking For 

We are looking for developers who think beyond implementing the immediate requirement and consistently ask: 

  • Can AI or automation make this development process faster or more reliable? 
  • Can this capability be built as a reusable tool, skill, agent, or MCP integration? 
  • Can repetitive analysis, debugging, testing, or documentation be automated? 
  • Can an existing solution be simplified or made more scalable? 
  • How can AI be used responsibly without compromising security, quality, or maintainability? 

The goal is to build an engineering organization where developers use AI and automation as part of their everyday engineering workflow, while continuing to maintain strong software engineering fundamentals. 

 

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