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Founding Senior Backend Engineer (Node.js, AI-Native)
Founding Senior Backend Engineer (Node.js, AI-Native)

Founding Senior Backend Engineer (Node.js, AI-Native) at TalentXO · Bengaluru (Bangalore) · 6 - 8 years · ₹30L - ₹40L / yr · Profitable · Posted 1 Aug 2026

TalentXO's logo

Founding Senior Backend Engineer (Node.js, AI-Native)

tabbasum shaikh's profile picture
Posted by tabbasum shaikh
6 - 8 yrs
₹30L - ₹40L / yr
Bengaluru (Bangalore)
Skills
Node.js
SQL
LLM

Roles & Responsibilities

What You'll Do

•    Design and build the core Node.js services and REST APIs from scratch, built to scale as we grow.

•    Own system design end to end: service boundaries, data flow, caching, queueing, failure modes, and scale.

•    Ship AI/ML-powered features, including LLM and agentic capabilities.

•    Use LLMs and agentic tooling across the SDLC, from design and code generation to testing and debugging.

•    Model data and optimize SQL/NoSQL queries for performance; integrate with third-party platforms.

•    Debug production issues, own reliability, and set the engineering standards the rest of the team will grow into.

Ideal Candidate

1.Strong Backend Node.js Developer Profile

2.Mandatory (Experience 1) – Must have 6+ years of hands-on Backend Engineering experience using Node.js building production-grade systems for B2C products at meaningful consumer scale

3.Mandatory (Experience 2) – Must be AI-native in their own engineering workflow: already uses LLMs and agentic tooling across the SDLC, from design and code generation through testing and debugging

4.Mandatory (Experience 3) – Must have owned backend architecture end to end, including greenfield builds. Should be able to make early architecture calls and reason clearly about service boundaries, data flow, caching, queueing, failure modes, scalability, and reliability trade-offs under real constraints.

5.Mandatory (Experience 4) – Must have a solid understanding of backend fundamentals, including API development, service-oriented architecture, data structures, algorithms, and clean coding practices

6.Mandatory (Experience 5) – Must have experience designing, building, and maintaining APIs and backend services, including integrations with external systems and third-party platforms

7.Mandatory (Experience 6) – Must have strong experience working with databases (SQL and/or NoSQL), including efficient data modeling, query optimization, and performance tuning

8.Mandatory (Company) – Must have worked in B2C product companies / startups at meaningful consumer scale. (WealthTech, FinTech, or high-growth consumer product background is highly preferred)

9.Mandatory (Stability) – Must have a stable career history, with consistent tenure across previous companies; frequent job-hopping will not be considered

10.Mandatory (AI Product) – Must have experience building and shipping products that use LLMs and agentic workflows to end users.

11.Mandatory (Compensation Alignment) – Candidate must be comfortable with the compensation structure where the company matches their current CTC and provides ESOPs, without any salary hike.

12.Mandatory (Exclusion) – Candidates currently working at Stable Money will not be considered

13.Mandatory (Note1) – Seed-funded WealthTech startup. Candidate must be comfortable in an early-stage, fast-paced environment with shifting priorities

14.Mandatory (Note2) – Founding tech team role. Work from office, 6 days a week. Candidate must be willing to own the backend end to end and set engineering standards

15.Preferred (College) – Tier1 engineering college is a plus plus

16.Preferred (Note) – Previous founding engineer or early-team startup experience is a plus.

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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About TalentXO

Founded :
2018
Type :
Product
Size :
20-100
Stage :
Profitable

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We build for the love of it. And we build the best.

We don’t just copy and paste. We start from first principles—frame the problem, question the default, ship, improve, repeat—until it’s world-class.

Every version and experiment is a chance to push past our comfort zone and hone our craft. It isn’t easy—it takes patience and persistence—but it ends in work we’re proud of.


Ownership builds a rocket ship.

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Step up to stand tall.

>Greatness is a moving target.<

Chase excellence in your craft and take on bigger problems. Grow into a full-stack problem-solver and leader—whatever your domain. Improve with intent, work with people who push you, and never get too comfortable. That’s how we level up.


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  • Profit-sharing bonuses based on company growth, tenure and performance
  • Paid time off - maternity, paternity, and marriage leave
  • Insurance for the whole family
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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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Shubham Vishwakarma

Full Stack Developer - Averlon
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