Lead Product Engineer - Pod Captain

Lead Product Engineer - Pod Captain at Fountane inc · Remote only · 8 - 12 years · ₹25L - ₹40L / yr · Bootstrapped · Remote only · Posted 10 Aug 2026

Lead Product Engineer - Pod Captain

at Fountane inc

Posted by HR Fountane

8 - 12 yrs

₹25L - ₹40L / yr

Remote only

Skills

Agentic AI

React.js

NodeJS (Node.js)

MongoDB

Generative AI (GenAI)

Retrieval Augmented Generation (RAG)

Anthropic Claude

React Native

PostgreSQL

GitHub Copilot

cursor

Lead Product Engineer - Pod Captain

A Little Bit About the Role

There is a version of this role that attracts the wrong person: a senior engineer who wants a title upgrade and a slightly bigger scope. That person will struggle here. The Lead PE is not a promotion for being a great individual engineer. It is a fundamentally different job.

Your success at this level is measured entirely by what your Island delivers — not by the quality of your own code. You will still write code, often the hardest and most risk-laden on the project: auth systems, payment integrations, data migrations, the things nobody else should touch. But that is a fraction of the role. The majority is managing delivery, owning the client relationship on the technical side, unblocking engineers before problems compound, and making scope calls under pressure with incomplete information.

You are also the technical and commercial bridge between your Island and the client. You own every piece of technical communication that goes to them — what is being built, what risks exist, what the honest timeline is. When a client pushes for something technically unsound, you push back directly and professionally, always with an alternative. When something breaks in production, you own the post-mortem process and the client receives it within 24 hours. You protect your team from unfiltered client pressure; you translate it into clear, actionable direction instead.

On top of delivery and client management, you are the AI operating standard for your Island. Every engineer on your pod uses Cursor and Claude within the rules you define. You set those rules before the first line of code is written, govern how they evolve, and you are accountable when AI-generated code ships without being understood.

If you are energised by all of that — by the accountability, by owning outcomes rather than tasks, by the combination of technical depth and people management — this role will suit you well. If you want to spend most of your time in code, this is not the right level.

AI Governance Expectation

You set the AI standard for your entire Island. If an engineer on your pod is shipping AI-generated code they do not understand, or underusing AI tools entirely, both are your problem to fix — not theirs alone.

At Lead level, AI governance means:

Authoring the .cursorrules file before the first PR is opened. This defines how every engineer on the team writes code, uses Cursor, and structures prompts. You update it as the team learns, and you submit it to the Fountane Mainland at the close of every engagement.
Evaluating new AI tools before they reach client code. You are the gate. A tool that looks useful in a demo can create untraceable technical debt in production. You decide what enters the workflow.
Governing prompt discipline across the team: scoped prompts, codebase context hygiene, no AI-generated code that the author cannot explain line by line.
Using Claude for architecture reasoning, sprint planning, risk documentation, and client-facing technical communication — not just Cursor for code generation. AI works at every layer of the Lead role, not just the coding layer.
Staying ahead of the Golden Stack. You should know what Cursor and Claude can and cannot do at the codebase level better than anyone on your Island. When the Mainland updates the standard toolchain, you integrate the change into your Island’s workflow first.

Key Responsibilities

Technical Architecture & Standards Ownership

Design the full-stack architecture for every engagement before the first sprint starts: service boundaries, API contracts, database schema, state management strategy across web and mobile surfaces, and the security baseline. Author the .cursorrules file that governs how the entire Island writes code and uses AI. Own the highest-risk code personally — auth systems, payment integrations, live data migrations — these are not delegated regardless of workload. Enforce Mainland security standards across the entire codebase: input validation, correct auth scoping, safe data handling. If a security issue reaches production that was visible in a PR, that is a failure you own.

CE Prototype Gatekeeping

Review every Concept Engineer prototype before any engineer touches it. This is not a courtesy review — you have veto authority. If the scope is technically unrealistic for the sprint, the architecture is unbuildable as specified, or the prototype makes promises the codebase cannot keep, the sprint does not start until those are resolved. The time to surface a structural problem is before it is built, not after it is demoed. Produce a written checklist verdict for every prototype review — approved, approved with conditions, or blocked with reasons.

Client Technical Communication & Scope Ownership

Own all technical communication with the client directly. This means: what is being built each sprint, what risks exist and what is being done about them, honest timelines when estimates change, and clear explanations of technical decisions in plain language. Push back on risky or scope-expanding requests professionally and always with an alternative — “we cannot do X because Y; here is what achieves the same outcome.” Manage scope creep actively: every request that expands the engagement goes through you, gets assessed for impact, and is either absorbed, priced, or declined with a rationale. Renewal conversations are yours to lead in coordination with the CE.

Island Integration Audit

When a prospective client wants fractional augmentation — one or two roles rather than a full Island — you conduct the Island Integration Audit. This means evaluating their existing engineering team against Fountane Mainland SOPs: coding standards, AI tool usage, deployment practices, and documentation quality. If they pass, fractional deployment proceeds. If they do not, you produce a written audit report that either recommends full Island deployment or a Mainland upskilling programme. You are protecting your team’s velocity — a fractional deployment into a dysfunctional team destroys it.

Delivery & Velocity Management

Review the work cycle board every morning. Flag anything stuck, stale, or at risk before it becomes a client problem — not after. Communicate risks to the CE proactively with options, not just problems. Track every engineer’s billing hours: a shortfall spotted on Wednesday is a Thursday conversation, not a Friday surprise. If an engineer is consistently under-billing, that is either a workload problem, a capability problem, or a motivation problem — each has a different resolution and you are responsible for diagnosing which one it is.

Production Incident Ownership

When something breaks in production, you own the resolution process end to end: take technical lead, make the call on rollback vs. hotfix, communicate status to the client directly if the incident affects them, and own the post-mortem. The client receives the post-mortem within 24 hours of resolution — this is a hard commitment, not a target. The post-mortem covers: what happened, why it happened, what was done to fix it, and what structural change prevents recurrence. You produce it; it is not delegated to the engineer who caused the issue.

Automation & Infrastructure Boundary Arbitration

The Automation Engineer owns the test gates within the CI/CD pipeline. The Infrastructure Engineer owns the pipeline configuration itself. When these overlap and conflict — which they will — you arbitrate. The resolution must be documented in the Island’s .cursorrules and SOP onboarding document so the boundary does not need to be relitigated every sprint. This is not optional housekeeping; an unresolved boundary between these two roles is one of the most common sources of deployment failures on Islands.

Full Stack Ownership — Web & Mobile

You review and own work across the entire application layer: React / Next.js web frontends, React Native or Flutter mobile apps, Node.js / Python backends, and database schema. You cannot delegate a review of mobile code because you do not know mobile, or backend code because your background is frontend. If there is a gap in your full-stack depth, that is something to resolve before taking this role, not on the job.

People Management & Mentoring

Hold bi-weekly 1:1s with every engineer on the Island — focused on growth, blockers, and career direction, not status updates. Status belongs on the board; 1:1s are for the person. Address performance gaps early, directly, and specifically: a pattern spotted in week two is a conversation in week two, not month three. Protect the team from unfiltered client anxiety — absorb it, process it, and give the team clear direction instead of noise. If an engineer is struggling, that is your problem to solve before it becomes the client’s problem to notice.

Network Contribution

At the close of every engagement, submit to the Fountane Mainland: the .cursorrules file, all prompt templates used, a short retrospective on what worked and what did not, and any reusable patterns or scripts developed during the engagement. This is a Lead-level obligation, not a nice-to-have. The network’s collective capability grows through what Leads bring back from the field. An engagement that ends without a Mainland submission has left the network no smarter than it was before.

Qualifications

8+ years of software engineering experience, with at least two years in a role where you were accountable for delivery outcomes — not just your own code. You should be able to describe an engagement where something went wrong on your watch, what you did about it, and what you would do differently. If your experience is entirely individual-contributor, this role will be a difficult fit.
Genuinely full stack across web and mobile: React / Next.js, React Native or Flutter, Node.js or Python, and database architecture including schema design and migrations. You review and own work across all of these surfaces — not just the ones you are most comfortable in.
Hands-on, daily Cursor and Claude usage with the ability to set and enforce standards for how a team uses them — not just personal proficiency. You should be able to describe the .cursorrules file you would write for a standard SMB engagement and explain the decisions behind it.
Proven ability to communicate technical risk and decisions directly to non-technical clients — not through a PM, directly, in plain language. You should be able to describe a client pushback you navigated and how you handled it.
Experience managing scope on a real engagement: a client who wanted more than was in the contract, and how you resolved it without damaging the relationship or the team’s velocity.
Has conducted security-aware architecture design: auth systems, input validation, safe data handling. You should be able to describe a security decision you made and why.
Has led or coordinated a small engineering team — run 1:1s, addressed performance gaps, made scope calls under pressure. Management experience at a staffing agency or outsourcing firm counts if the accountability was real.
Comfortable having direct, specific performance conversations early — not after the situation has compounded. You should be able to describe a time you addressed a performance issue at the first sign rather than waiting.
Bachelor’s or Master’s in Computer Science or a related field, or equivalent experience.

About Fountane

Fountane is a technology ventures lab - one part product studio, one part startup engine. We build high-quality software and AI products for clients ranging from fast-moving startups to large enterprises, and we co-build and invest in new companies when we see the right opportunity.

Founded in 2017 and headquartered in Minneapolis, we have grown to 60+ people across four continents and were recognised as one of America’s fastest-growing companies, ranking No. 699 on the Inc. 5000 with 595% three-year growth.

We are serious about craft, direct about expectations, and operate at the frontier of AI-assisted engineering. Lead PEs here carry real authority and real accountability — over delivery, over people, and over client outcomes. If that combination is what you are looking for, this is the place.

Lead Product Engineer - Pod Captain

A Little Bit About the Role

AI Governance Expectation

At Lead level, AI governance means:

Authoring the .cursorrules file before the first PR is opened. This defines how every engineer on the team writes code, uses Cursor, and structures prompts. You update it as the team learns, and you submit it to the Fountane Mainland at the close of every engagement.
Evaluating new AI tools before they reach client code. You are the gate. A tool that looks useful in a demo can create untraceable technical debt in production. You decide what enters the workflow.
Governing prompt discipline across the team: scoped prompts, codebase context hygiene, no AI-generated code that the author cannot explain line by line.
Using Claude for architecture reasoning, sprint planning, risk documentation, and client-facing technical communication — not just Cursor for code generation. AI works at every layer of the Lead role, not just the coding layer.
Staying ahead of the Golden Stack. You should know what Cursor and Claude can and cannot do at the codebase level better than anyone on your Island. When the Mainland updates the standard toolchain, you integrate the change into your Island’s workflow first.

Key Responsibilities

Technical Architecture & Standards Ownership

CE Prototype Gatekeeping

Client Technical Communication & Scope Ownership

Island Integration Audit

Delivery & Velocity Management

Production Incident Ownership

Automation & Infrastructure Boundary Arbitration

Full Stack Ownership — Web & Mobile

People Management & Mentoring

Network Contribution

Qualifications

8+ years of software engineering experience, with at least two years in a role where you were accountable for delivery outcomes — not just your own code. You should be able to describe an engagement where something went wrong on your watch, what you did about it, and what you would do differently. If your experience is entirely individual-contributor, this role will be a difficult fit.
Genuinely full stack across web and mobile: React / Next.js, React Native or Flutter, Node.js or Python, and database architecture including schema design and migrations. You review and own work across all of these surfaces — not just the ones you are most comfortable in.
Hands-on, daily Cursor and Claude usage with the ability to set and enforce standards for how a team uses them — not just personal proficiency. You should be able to describe the .cursorrules file you would write for a standard SMB engagement and explain the decisions behind it.
Proven ability to communicate technical risk and decisions directly to non-technical clients — not through a PM, directly, in plain language. You should be able to describe a client pushback you navigated and how you handled it.
Experience managing scope on a real engagement: a client who wanted more than was in the contract, and how you resolved it without damaging the relationship or the team’s velocity.
Has conducted security-aware architecture design: auth systems, input validation, safe data handling. You should be able to describe a security decision you made and why.
Has led or coordinated a small engineering team — run 1:1s, addressed performance gaps, made scope calls under pressure. Management experience at a staffing agency or outsourcing firm counts if the accountability was real.
Comfortable having direct, specific performance conversations early — not after the situation has compounded. You should be able to describe a time you addressed a performance issue at the first sign rather than waiting.
Bachelor’s or Master’s in Computer Science or a related field, or equivalent experience.

About Fountane

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Read about what our users have to say about finding their next opportunity on Cutshort.

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 Fountane inc

Founded :

2016

Type :

Services

Size :

20-100

Stage :

Bootstrapped

About

One part digital product studio. One part ventures lab. Two parts hustle

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Lead technical design, architecture reviews, and engineering governance across multiple projects.
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Conduct code reviews and ensure adherence to engineering standards and best practices.
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Collaborate closely with stakeholders, business users, architects, QA, and DevOps teams.
Monitor project progress and provide regular status reporting to leadership.
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Drive the strategic adoption of AI and automation technologies across engineering teams.
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Mandatory (Experience 7) – Must have strong experience with CI/CD pipelines (e.g. GitHub Actions), containerization, and production deployment strategies.
Mandatory (Experience 8) – Must have demonstrable fluency with AI coding tools (Claude Code, Cursor, GitHub Copilot, or similar) and proven ability to design agentic engineering workflows and train teams on them
Preferred (Experience) – Advanced RAG techniques — hybrid search, reranking, query expansion — and establishing RAG standards across teams

Role & Responsibilities

Responsibilities

• Business: Immerse in operations until you think like an insider.

• Reliability: Define reliability standards across teams in your area, drive post-incident improvements systematically, design capacity planning processes, andmentor engineers on SRE practices.

Ideal Candidate

Strong Staff Software Engineer / FDE profile (full-stack + production GenAI, multi-team technical leadership)
Mandatory (Experience 1) – Must have 7+ years of relevant professional software engineering experience, with demonstrated full-stack delivery across backend and frontend.
Mandatory (Experience 2) – Must have deep production experience with Python AND JavaScript/TypeScript, working comfortably across the full stack.
Mandatory (Experience 3) – Must have 2+ years of experience in generative AI applications developement — LLM integrations, vector databases, RAG systems, and evaluation pipelines
Mandatory (Experience 4) – Must have strong experience with modern frontend frameworks (Next.js / React) and backend API development.
Mandatory (Experience 5) – Must have extensive experience with cloud platforms (AWS preferred; Azure/GCP valued), including infrastructure-as-code (CloudFormation / Terraform).
Mandatory (Experience 6) – Must have working knowledge of multiple database paradigms — relational (PostgreSQL), document, and key-value (Redis) — with ability to select the right storage per problem.
Mandatory (Experience 7) – Must have strong experience with CI/CD pipelines (e.g. GitHub Actions), containerization, and production deployment strategies.
Mandatory (Experience 8) – Must have demonstrable fluency with AI coding tools (Claude Code, Cursor, GitHub Copilot, or similar) and proven ability to design agentic engineering workflows and train teams on them
Preferred (Experience) – Advanced RAG techniques — hybrid search, reranking, query expansion — and establishing RAG standards across teams

Technical Team Lead (Vue.js, Node.js, B2B E-Commerce platform)

at TalentXO

Posted by tabbasum shaikh

Bengaluru (Bangalore)

8 - 12 yrs

₹30L - ₹35L / yr

Vue.js

Node.js

B2B

E-Commerce

Roles & Responsibilities

Write, review and merge production code across Vue.js frontend and Node.js backend
Own code quality for the India team — set review standards and refactor technical debt
Debug across the full stack — from Vue rendering issues to Mongo aggregations to Kubernetes pod issues
Guide the team on day-to-day development decisions and step in on unsolved problems
Design solutions for new modules from spec to schema to API contract to implementation
Own MongoDB data modelling decisions — document structure, embedding vs referencing, index strategy
Review Node.js service design: API structure, error handling, validation, authentication, rate limiting, background processing
Make and document build-vs-buy calls on third-party services with cost and integration effort
Ensure the platform stays stable and performant on a live, revenue-generating system
Demonstrate daily working use of AI coding tools and spec-driven development practice
Judge AI output quality and know when tasks should not be handed to agents
Set up and maintain repo-level context files and make the team's AI setup consistent
Coach the team on AI tools while holding the line on quality
Work with LLM APIs, embeddings, semantic search and understand where AI features help
Run sprint planning, estimation, standups and retros for the India team
Break requirements into technical tasks with clear acceptance criteria
Track velocity and flag slippage and blockers early
Own release coordination — deployment planning, rollback strategy and post-release monitoring
Line-manage 6–10 engineers across web, mobile and QA — 1:1s, feedback, performance conversations and growth planning
Mentor mid-level engineers into senior ones and build depth
Participate in hiring — technical screening, interviewing and onboarding
Keep the team's engineering practices consistent: documentation, testing, branching, incident handling
Act as the main technical point of contact between the India team and the UAE office product and business stakeholders
Communicate clearly to mixed technical and non-technical audiences — status, risk, trade-offs and time cost
Manage the time-zone gap with structured overlap hours, written updates and async documentation
Own technical delivery on modules including product catalogue, pricing, ordering, workflows, order management, payments, invoicing and vendor onboarding

Ideal Candidate

1Strong Hands-On Technical Team Lead Profile (Vue.js + Node.js) with AI-assisted development and B2B e-commerce exposure2Mandatory (Experience) - Must have 8+ years of software engineering experience with at least 2+ years leading a team of 5 or more engineers3Mandatory (Tech skill 1): Must have strong, current, hands-on Vue.js experience including component architecture, state management and performance optimisation4Mandatory (Tech skill 2): Must have strong, current, hands-on Node.js and Express experience for production API development at scale5Mandatory (Tech skill 3): Must have deep MongoDB experience including aggregation pipelines, index design, query performance tuning and schema decisions6Mandatory (Tech skill 4): Must have AWS experience particularly Kubernetes/EKS with deployments, resource limits, health probes and production monitoring7Mandatory (Tech skill 5): Must have working understanding of Flutter including widget architecture, state management, platform channels and Play Store/App Store release pipelines8Mandatory (Tech skill 6): Must have demonstrable, daily professional use of AI coding tools (Claude Code, Cursor, GitHub Copilot, Gemini CLI or equivalent) with real examples9Mandatory (Tech skill 7): Must have experience with spec-driven development including writing structured requirement and design documents and reviewing AI-generated output against acceptance criteria10Mandatory (Tech skill 8): Must have experience setting up and maintaining repo-level context files, rules files and custom commands for AI development11Mandatory (Tech skill 9): Must have Git and CI/CD experience including branching strategy, review workflow and automated pipelines12Mandatory (Leadership): Must have line-managed engineers (1:1s, feedback, performance, growth), mentored mid-to-senior, and participated in hiring13Mandatory (Communication): Must communicate clearly to mixed technical/non-technical audiences and manage a time-zone gap with structured overlap and async documentation (works with the UAE office)14Mandatory (Education): Bachelor's or Master's in Computer Science, Engineering or related field15Mandatory (Domain): Background in B2B e-commerce, wholesale/distribution or marketplace platforms16Preferred (Offshore Experience): Experience working as the offshore technical counterpart to an overseas leadership team17Preferred (AI Integration): Experience integrating LLM APIs into a production product18Preferred (Observability): Exposure to observability tooling such as CloudWatch, Datadog or Sentry and analytics instrumentation19Preferred (Third-party Integrations): Experience with payment gateways, e-signature, logistics APIs, mapping and geolocation integrations

Roles & Responsibilities

Write, review and merge production code across Vue.js frontend and Node.js backend
Own code quality for the India team — set review standards and refactor technical debt
Debug across the full stack — from Vue rendering issues to Mongo aggregations to Kubernetes pod issues
Guide the team on day-to-day development decisions and step in on unsolved problems
Design solutions for new modules from spec to schema to API contract to implementation
Own MongoDB data modelling decisions — document structure, embedding vs referencing, index strategy
Review Node.js service design: API structure, error handling, validation, authentication, rate limiting, background processing
Make and document build-vs-buy calls on third-party services with cost and integration effort
Ensure the platform stays stable and performant on a live, revenue-generating system
Demonstrate daily working use of AI coding tools and spec-driven development practice
Judge AI output quality and know when tasks should not be handed to agents
Set up and maintain repo-level context files and make the team's AI setup consistent
Coach the team on AI tools while holding the line on quality
Work with LLM APIs, embeddings, semantic search and understand where AI features help
Run sprint planning, estimation, standups and retros for the India team
Break requirements into technical tasks with clear acceptance criteria
Track velocity and flag slippage and blockers early
Own release coordination — deployment planning, rollback strategy and post-release monitoring
Line-manage 6–10 engineers across web, mobile and QA — 1:1s, feedback, performance conversations and growth planning
Mentor mid-level engineers into senior ones and build depth
Participate in hiring — technical screening, interviewing and onboarding
Keep the team's engineering practices consistent: documentation, testing, branching, incident handling
Act as the main technical point of contact between the India team and the UAE office product and business stakeholders
Communicate clearly to mixed technical and non-technical audiences — status, risk, trade-offs and time cost
Manage the time-zone gap with structured overlap hours, written updates and async documentation
Own technical delivery on modules including product catalogue, pricing, ordering, workflows, order management, payments, invoicing and vendor onboarding

Ideal Candidate

Technical Lead

at NovoStack

Posted by Nancy Chatterji

Noida, Delhi, Gurugram, Ghaziabad, Faridabad

6 - 12 yrs

₹17L - ₹35L / yr

Backend testing

frontend

Quality control

Team Management

Job Title: Technical Lead

Experience: 6+ Years

Job Type: Full-Time

Department: Engineering

Job Location: Sec-62, Noida.

Job Summary

We are looking for an experienced and hands-on Technical Lead with strong software engineering expertise and a proven track record of building scalable, secure, and production-grade web applications.

The ideal candidate will have 6+ years of software development experience, strong expertise across modern frontend and backend technologies, and the ability to take end-to-end technical ownership—from architecture and development through deployment and production support.

The role requires a technically hands-on leader who can provide architectural direction, mentor developers, review code, solve complex engineering challenges, and ensure high standards of engineering quality.

Practical knowledge of AI/GenAI technologies is important. Prior experience in the Indian FinTech/BFSI ecosystem will be strongly preferred.

Key Responsibilities

Lead the technical design, architecture, development, and delivery of web-based applications.
Take end-to-end technical ownership of projects, ensuring scalable, maintainable, secure, and high-quality implementations.
Work hands-on across frontend, backend, databases, APIs, cloud infrastructure, and third-party integrations.
Define technical architecture, technology choices, coding standards, and engineering best practices.
Conduct code reviews and ensure high standards of code quality, performance, security, and maintainability.
Mentor developers and provide technical guidance throughout design and implementation.
Identify technical risks, bottlenecks, scalability concerns, and architectural challenges early in the development lifecycle.
Collaborate with Product Managers, Business Analysts, Designers, QA, DevOps, and other stakeholders to translate business requirements into effective technical solutions.

Participate in effort estimation, sprint planning, technical discussions, and delivery planning.
Troubleshoot complex production issues and drive root-cause analysis and permanent resolutions.
Evaluate and introduce new technologies, frameworks, development practices, and AI-assisted engineering tools where appropriate.
Identify opportunities to incorporate AI/GenAI capabilities into products, workflows, and internal engineering processes.
Ensure applications follow appropriate practices for security, data privacy, authentication, authorization, logging, and monitoring.

Technical Skills & Requirements

Mandatory

6+ years of professional software development experience.
Strong experience building and maintaining production-grade web applications.
Strong proficiency in modern JavaScript/TypeScript ecosystems.
Experience with frontend frameworks such as React.js, Next.js, Angular, Vue.js, or similar.
Strong backend development experience using Node.js and/or other modern backend frameworks and languages.
Strong understanding of REST APIs, microservices, API design, authentication, authorization, and third-party integrations.
Experience with relational and/or NoSQL databases such as PostgreSQL, MySQL, MongoDB, Redis, etc.
Good understanding of system design, distributed systems, scalability, caching, asynchronous processing, and performance optimization.
Experience with cloud platforms such as AWS, GCP, or Azure.
Familiarity with Docker, CI/CD pipelines, Git-based development workflows, monitoring, and modern DevOps practices.
Strong understanding of application security and secure software development practices.

AI / GenAI Skills

The candidate should have a practical understanding of the modern AI ecosystem and its application in software products.

Experience or knowledge in the following areas will be an advantage:

LLM-based applications and APIs
OpenAI, Anthropic, Gemini, or similar AI platforms
AI agents and agentic workflows
RAG and vector databases
Prompt engineering and structured outputs
AI-assisted development tools
Integration of AI capabilities into existing web applications

Reliability, security, privacy, cost, and hallucination considerations in production AI systems

Deep AI/ML research experience is not mandatory. The candidate should, however, be comfortable understanding and integrating modern AI capabilities into software products.

FinTech / BFSI Experience – Preferred

Prior experience working with FinTech, BFSI, lending, payments, banking, insurance, credit, or financial services products in India will be strongly preferred.

Experience in any of the following areas will be particularly valuable:

Digital lending / Loan Management Systems
Payments and payment gateways
Credit bureau and credit-score integrations
KYC / eKYC and identity verification
Account Aggregator ecosystem
UPI / NPCI integrations
Banking and NBFC integrations
Financial APIs and third-party FinTech platforms
RBI-related technology and compliance requirements
Data security and privacy requirements for financial applications

Leadership & Soft Skills

Proven ability to lead and mentor engineering teams.
Strong problem-solving, debugging, and analytical capabilities.
Ability to make sound technical and architectural decisions.
Strong ownership mindset with accountability for project delivery.
Ability to communicate technical concepts clearly to both technical and non-technical stakeholders.
Comfortable working in a fast-paced environment with multiple projects and priorities.
Ability to balance engineering quality with practical business and delivery requirements.
Strong documentation and communication skills.

What We’re Looking For

We are looking for a hands-on Technical Lead rather than a purely managerial profile.

The ideal candidate should be able to:

Understand business requirements and translate them into technical solutions.
Design scalable and reliable application architecture.
Guide and mentor engineering teams.
Review critical code and technical implementations.
Solve complex technical and production issues.
Make effective technology and architecture decisions.
Take ownership of delivering reliable products into production.

Mandatory Criteria

6+ years of software engineering experience with strong expertise in modern web technologies.

Strongly Preferred

Experience building or leading FinTech products in India.
Practical understanding of AI/GenAI technologies and their integration into modern software products.

Job Title: Technical Lead

Experience: 6+ Years

Job Type: Full-Time

Department: Engineering

Job Location: Sec-62, Noida.

Job Summary

We are looking for an experienced and hands-on Technical Lead with strong software engineering expertise and a proven track record of building scalable, secure, and production-grade web applications.

Practical knowledge of AI/GenAI technologies is important. Prior experience in the Indian FinTech/BFSI ecosystem will be strongly preferred.

Key Responsibilities

Lead the technical design, architecture, development, and delivery of web-based applications.
Take end-to-end technical ownership of projects, ensuring scalable, maintainable, secure, and high-quality implementations.
Work hands-on across frontend, backend, databases, APIs, cloud infrastructure, and third-party integrations.
Define technical architecture, technology choices, coding standards, and engineering best practices.
Conduct code reviews and ensure high standards of code quality, performance, security, and maintainability.
Mentor developers and provide technical guidance throughout design and implementation.
Identify technical risks, bottlenecks, scalability concerns, and architectural challenges early in the development lifecycle.
Collaborate with Product Managers, Business Analysts, Designers, QA, DevOps, and other stakeholders to translate business requirements into effective technical solutions.

Participate in effort estimation, sprint planning, technical discussions, and delivery planning.
Troubleshoot complex production issues and drive root-cause analysis and permanent resolutions.
Evaluate and introduce new technologies, frameworks, development practices, and AI-assisted engineering tools where appropriate.
Identify opportunities to incorporate AI/GenAI capabilities into products, workflows, and internal engineering processes.
Ensure applications follow appropriate practices for security, data privacy, authentication, authorization, logging, and monitoring.

Technical Skills & Requirements

Mandatory

6+ years of professional software development experience.
Strong experience building and maintaining production-grade web applications.
Strong proficiency in modern JavaScript/TypeScript ecosystems.
Experience with frontend frameworks such as React.js, Next.js, Angular, Vue.js, or similar.
Strong backend development experience using Node.js and/or other modern backend frameworks and languages.
Strong understanding of REST APIs, microservices, API design, authentication, authorization, and third-party integrations.
Experience with relational and/or NoSQL databases such as PostgreSQL, MySQL, MongoDB, Redis, etc.
Good understanding of system design, distributed systems, scalability, caching, asynchronous processing, and performance optimization.
Experience with cloud platforms such as AWS, GCP, or Azure.
Familiarity with Docker, CI/CD pipelines, Git-based development workflows, monitoring, and modern DevOps practices.
Strong understanding of application security and secure software development practices.

AI / GenAI Skills

The candidate should have a practical understanding of the modern AI ecosystem and its application in software products.

Experience or knowledge in the following areas will be an advantage:

LLM-based applications and APIs
OpenAI, Anthropic, Gemini, or similar AI platforms
AI agents and agentic workflows
RAG and vector databases
Prompt engineering and structured outputs
AI-assisted development tools
Integration of AI capabilities into existing web applications

Reliability, security, privacy, cost, and hallucination considerations in production AI systems

Deep AI/ML research experience is not mandatory. The candidate should, however, be comfortable understanding and integrating modern AI capabilities into software products.

FinTech / BFSI Experience – Preferred

Prior experience working with FinTech, BFSI, lending, payments, banking, insurance, credit, or financial services products in India will be strongly preferred.

Experience in any of the following areas will be particularly valuable:

Digital lending / Loan Management Systems
Payments and payment gateways
Credit bureau and credit-score integrations
KYC / eKYC and identity verification
Account Aggregator ecosystem
UPI / NPCI integrations
Banking and NBFC integrations
Financial APIs and third-party FinTech platforms
RBI-related technology and compliance requirements
Data security and privacy requirements for financial applications

Leadership & Soft Skills

Proven ability to lead and mentor engineering teams.
Strong problem-solving, debugging, and analytical capabilities.
Ability to make sound technical and architectural decisions.
Strong ownership mindset with accountability for project delivery.
Ability to communicate technical concepts clearly to both technical and non-technical stakeholders.
Comfortable working in a fast-paced environment with multiple projects and priorities.
Ability to balance engineering quality with practical business and delivery requirements.
Strong documentation and communication skills.

What We’re Looking For

We are looking for a hands-on Technical Lead rather than a purely managerial profile.

The ideal candidate should be able to:

Understand business requirements and translate them into technical solutions.
Design scalable and reliable application architecture.
Guide and mentor engineering teams.
Review critical code and technical implementations.
Solve complex technical and production issues.
Make effective technology and architecture decisions.
Take ownership of delivering reliable products into production.

Mandatory Criteria

6+ years of software engineering experience with strong expertise in modern web technologies.

Strongly Preferred

Experience building or leading FinTech products in India.
Practical understanding of AI/GenAI technologies and their integration into modern software products.

Sr. Product Engineer

at Venxr

Posted by Prerona Dutta

Pune

3 - 5 yrs

₹12L - ₹15L / yr

Product development

Python

Django

Anthropic Claude

Artificial Intelligence (AI)

+3 more

About Venxr

VenXR is an AI-driven AdTech startup building AdsGPT, redefining how brands plan, execute, and optimize ad campaigns through AI. We're a fast-growing, lean team looking for a Product Engineer who can own features end-to-end, from idea to shipped product.

About the Role

We're looking for a Product Engineer who thinks like a builder, not just a coder. Someone who cares as much about why we're building something as how it's built, and takes real ownership of the product outcomes, not just the code they ship.

Tech Stack

Frontend: React.js | Backend: Python (Django) | AI: Claude / LLM-driven development

Roles & Responsibilities

End-to-End Feature Ownership
Own features from concept to deployment — writing clean, scalable code while staying closely tied to the product goal and user impact behind it.
Full-Stack Development
Build and maintain front-end interfaces in React.js and back-end systems in Python/Django, ensuring performance, reliability, and scalability across the product.
Product Thinking
Work closely with Product, Design, and Founders to shape specs, question assumptions, and suggest simpler or smarter ways to solve user problems.
Rapid Iteration
Ship fast, test in production, gather feedback, and iterate, balancing speed with code quality.
Cross-Functional Collaboration
Partner with Design and Data teams to bring dashboards, AI-driven features, and data visualizations to life.
System Design & Architecture
Contribute to technical architecture decisions, ensuring the codebase stays scalable as the product and team grow.
Debugging & Problem Solving
Diagnose and resolve complex technical issues quickly, treating downtime or bugs as urgent, customer-impacting problems.
AI-Native Development
Actively build with AI — using Claude and other LLM tools not just to assist coding, but to develop AI-powered features, prompt workflows, and intelligent product capabilities within AdsGPT itself.

Requirements

3–5 years of experience as a Product Engineer, ideally in a startup or B2B SaaS environment
Strong proficiency in React.js for front-end development
Strong proficiency in Python, with hands-on experience in Django for back-end development
Solid understanding of REST APIs, databases (SQL/NoSQL), and system design fundamentals
Hands-on experience building with AI tools (like Claude), not just using them for coding assistance, but developing core AI products.
Experience working directly with Product/Design teams, not just executing tickets
Comfortable working in ambiguous, fast-changing environments with minimal hand-holding
Strong debugging and problem-solving skills

Good to Have

Familiarity with the Model Context Protocol (MCP) for securely connecting LLMs to external tools and APIs.
Experience building conversational AI interfaces or managing complex multi-turn chatbot state across various platforms and channels.
Experience in AdTech, MarTech, or data-heavy SaaS platforms.
Exposure to cloud infra (AWS/GCP/Azure), Docker, and CI/CD pipelines.
Experience with LLM evaluation/monitoring tools (Ragas, LangSmith, Langfuse, or similar).
Experience with data visualization libraries (Recharts, D3.js, Chart.js).
Familiarity with compliance-aware or explainable AI design in regulated domains.

What We Look For In Candidates

Customer Obsession – A genuine curiosity about how your code impacts the customer's experience, not just whether it compiles.
Ownership – You drive features to completion, chasing down blockers instead of waiting on them.
Stakeholder Understanding & Management – You know when to loop in Product, Design, or Business to unblock yourself fast.
High Standards – You hold your own code to a higher bar, even when no one's checking.
Disagree and Commit – You debate technical decisions hard, then commit fully once the call is made.
Simplify Relentlessly – You reach for the simplest working solution, not the most "clever" one.
Solidarity with the Team – You show up for your teammates, no invitation needed.
Vitality – You bring real energy and resilience that keeps you (and others) going.

Why Join Venxr?
Be part of a fast-growing startup that puts data at the heart of every decision.
Opportunity to work on high-impact, real-world business challenges.
Collaborative, transparent, and learning-oriented work environment.
Flexible work culture with a strong focus on career development.
Comprehensive health benefits to support your well-being.
Team offsites and engagement activities to build stronger connections beyond work.
Performance-based incentives and rewards recognizing your contribution and impact.

About Venxr

About the Role

Tech Stack

Frontend: React.js | Backend: Python (Django) | AI: Claude / LLM-driven development

Roles & Responsibilities

End-to-End Feature Ownership
Own features from concept to deployment — writing clean, scalable code while staying closely tied to the product goal and user impact behind it.
Full-Stack Development
Build and maintain front-end interfaces in React.js and back-end systems in Python/Django, ensuring performance, reliability, and scalability across the product.
Product Thinking
Work closely with Product, Design, and Founders to shape specs, question assumptions, and suggest simpler or smarter ways to solve user problems.
Rapid Iteration
Ship fast, test in production, gather feedback, and iterate, balancing speed with code quality.
Cross-Functional Collaboration
Partner with Design and Data teams to bring dashboards, AI-driven features, and data visualizations to life.
System Design & Architecture
Contribute to technical architecture decisions, ensuring the codebase stays scalable as the product and team grow.
Debugging & Problem Solving
Diagnose and resolve complex technical issues quickly, treating downtime or bugs as urgent, customer-impacting problems.
AI-Native Development
Actively build with AI — using Claude and other LLM tools not just to assist coding, but to develop AI-powered features, prompt workflows, and intelligent product capabilities within AdsGPT itself.

Requirements

3–5 years of experience as a Product Engineer, ideally in a startup or B2B SaaS environment
Strong proficiency in React.js for front-end development
Strong proficiency in Python, with hands-on experience in Django for back-end development
Solid understanding of REST APIs, databases (SQL/NoSQL), and system design fundamentals
Hands-on experience building with AI tools (like Claude), not just using them for coding assistance, but developing core AI products.
Experience working directly with Product/Design teams, not just executing tickets
Comfortable working in ambiguous, fast-changing environments with minimal hand-holding
Strong debugging and problem-solving skills

Good to Have

Familiarity with the Model Context Protocol (MCP) for securely connecting LLMs to external tools and APIs.
Experience building conversational AI interfaces or managing complex multi-turn chatbot state across various platforms and channels.
Experience in AdTech, MarTech, or data-heavy SaaS platforms.
Exposure to cloud infra (AWS/GCP/Azure), Docker, and CI/CD pipelines.
Experience with LLM evaluation/monitoring tools (Ragas, LangSmith, Langfuse, or similar).
Experience with data visualization libraries (Recharts, D3.js, Chart.js).
Familiarity with compliance-aware or explainable AI design in regulated domains.

What We Look For In Candidates

Customer Obsession – A genuine curiosity about how your code impacts the customer's experience, not just whether it compiles.
Ownership – You drive features to completion, chasing down blockers instead of waiting on them.
Stakeholder Understanding & Management – You know when to loop in Product, Design, or Business to unblock yourself fast.
High Standards – You hold your own code to a higher bar, even when no one's checking.
Disagree and Commit – You debate technical decisions hard, then commit fully once the call is made.
Simplify Relentlessly – You reach for the simplest working solution, not the most "clever" one.
Solidarity with the Team – You show up for your teammates, no invitation needed.
Vitality – You bring real energy and resilience that keeps you (and others) going.

Why Join Venxr?
Be part of a fast-growing startup that puts data at the heart of every decision.
Opportunity to work on high-impact, real-world business challenges.
Collaborative, transparent, and learning-oriented work environment.
Flexible work culture with a strong focus on career development.
Comprehensive health benefits to support your well-being.
Team offsites and engagement activities to build stronger connections beyond work.
Performance-based incentives and rewards recognizing your contribution and impact.

Technical Lead

at BetaCrew Labs

Posted by Siddhi Pawar

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Hyderabad

8 - 12 yrs

₹50L - ₹70L / yr

React.js

NodeJS (Node.js)

Amazon Web Services (AWS)

About the role

You'll work on cloud software that helps technical teams collaborate and move faster: an established, in-production product that real customers rely on every day. You'll work directly with leadership who built products at Meta and Apple, on a team where you own meaningful work and your decisions have direct impact.

Location: On-site, Financial District, Hyderabad

What you'll do

Lead the engineering team day to day, owning delivery and technical direction
Architect projects end to end and make the high-leverage technical decisions across the stack, in ReactJS, NodeJS, and AWS
Set up the engineering processes, standards, and rituals that let the team ship fast without breaking things
Mentor and grow engineers, raising the bar across the team
Break complex, ambiguous problems into clear plans and drive them to done
Make deliberate tradeoffs between creating tech debt and delivering business requirements

What we're looking for

8+ years of full stack engineering experience (strong senior engineers ready to step into a lead role are welcome)
Deep, hands-on command of ReactJS, NodeJS, and AWS
A track record of technical leadership: architecting systems, mentoring engineers, and setting up engineering processes
Strong fundamentals in data structures and algorithms
Excellent communication and the ability to thrive in a fast-paced, collaborative environment
Bonus if you know: TypeScript, SQL, ExpressJS

Who you are

You have serious work ethic. You get a high from checking things off and seeing results.
You're curious, resourceful, and self-learning.
You take ownership and bring the hustle.
You lead by example and bring momentum to everything and everyone you work with.

📌Important: To complete your application for this role, please fill out this short screening form: [https://app.botfriday.ai/#/open/external-job-application/792cccfa-c046-4092-b20d-814705d5314f].

Only candidates who complete this step will be considered for further rounds."

About the role

Location: On-site, Financial District, Hyderabad

What you'll do

Lead the engineering team day to day, owning delivery and technical direction
Architect projects end to end and make the high-leverage technical decisions across the stack, in ReactJS, NodeJS, and AWS
Set up the engineering processes, standards, and rituals that let the team ship fast without breaking things
Mentor and grow engineers, raising the bar across the team
Break complex, ambiguous problems into clear plans and drive them to done
Make deliberate tradeoffs between creating tech debt and delivering business requirements

What we're looking for

8+ years of full stack engineering experience (strong senior engineers ready to step into a lead role are welcome)
Deep, hands-on command of ReactJS, NodeJS, and AWS
A track record of technical leadership: architecting systems, mentoring engineers, and setting up engineering processes
Strong fundamentals in data structures and algorithms
Excellent communication and the ability to thrive in a fast-paced, collaborative environment
Bonus if you know: TypeScript, SQL, ExpressJS

Who you are

You have serious work ethic. You get a high from checking things off and seeing results.
You're curious, resourceful, and self-learning.
You take ownership and bring the hustle.
You lead by example and bring momentum to everything and everyone you work with.

Only candidates who complete this step will be considered for further rounds."

Jr. Product Engineer

at Venxr

Posted by Prerona Dutta

Pune

1 - 3 yrs

₹7L - ₹10L / yr

React.js

Python

Django

Anthropic Claude

Large Language Models (LLM)

+4 more

About Venxr

About the Role

Tech Stack

Frontend: React.js | Backend: Python (Django) | AI: Claude / LLM-driven development

Roles & Responsibilities

End-to-End Feature Ownership
Own features from concept to deployment — writing clean, scalable code while staying closely tied to the product goal and user impact behind it.
Full-Stack Development
Build and maintain front-end interfaces in React.js and back-end systems in Python/Django, ensuring performance, reliability, and scalability across the product.
Product Thinking
Work closely with Product, Design, and Founders to shape specs, question assumptions, and suggest simpler or smarter ways to solve user problems.
Rapid Iteration
Ship fast, test in production, gather feedback, and iterate, balancing speed with code quality.
Cross-Functional Collaboration
Partner with Design and Data teams to bring dashboards, AI-driven features, and data visualizations to life.
System Design & Architecture
Contribute to technical architecture decisions, ensuring the codebase stays scalable as the product and team grow.
Debugging & Problem Solving
Diagnose and resolve complex technical issues quickly, treating downtime or bugs as urgent, customer-impacting problems.
AI-Native Development
Actively build with AI — using Claude and other LLM tools not just to assist coding, but to develop AI-powered features, prompt workflows, and intelligent product capabilities within AdsGPT itself.

Requirements

1-2 years of experience as a Product Engineer, ideally in a startup or B2B SaaS environment
Candidates with B.Tech in CSE, AI/ML or any other equivalent educational background from Tier-1 and Tier-2 colleges will be preferred
Strong proficiency in React.js for front-end development
Strong proficiency in Python, with hands-on experience in Django for back-end development
Solid understanding of REST APIs, databases (SQL/NoSQL), and system design fundamentals
Hands-on experience building with AI tools (like Claude), not just using them for coding assistance, but developing core AI products.
Experience working directly with Product/Design teams, not just executing tickets
Comfortable working in ambiguous, fast-changing environments with minimal hand-holding
Strong debugging and problem-solving skills

Good to Have

Familiarity with the Model Context Protocol (MCP) for securely connecting LLMs to external tools and APIs.
Experience building conversational AI interfaces or managing complex multi-turn chatbot state across various platforms and channels.
Experience in AdTech, MarTech, or data-heavy SaaS platforms.
Exposure to cloud infra (AWS/GCP/Azure), Docker, and CI/CD pipelines.
Experience with LLM evaluation/monitoring tools (Ragas, LangSmith, Langfuse, or similar).
Experience with data visualization libraries (Recharts, D3.js, Chart.js).
Familiarity with compliance-aware or explainable AI design in regulated domains.

What We Look For In Candidates

Customer Obsession – A genuine curiosity about how your code impacts the customer's experience, not just whether it compiles.
Ownership – You drive features to completion, chasing down blockers instead of waiting on them.
Stakeholder Understanding & Management – You know when to loop in Product, Design, or Business to unblock yourself fast.
High Standards – You hold your own code to a higher bar, even when no one's checking.
Disagree and Commit – You debate technical decisions hard, then commit fully once the call is made.
Simplify Relentlessly – You reach for the simplest working solution, not the most "clever" one.
Solidarity with the Team – You show up for your teammates, no invitation needed.
Vitality – You bring real energy and resilience that keeps you (and others) going.

Why Join Venxr?
Be part of a fast-growing startup that puts data at the heart of every decision.
Opportunity to work on high-impact, real-world business challenges.
Collaborative, transparent, and learning-oriented work environment.
Flexible work culture with a strong focus on career development.
Comprehensive health benefits to support your well-being.
Team offsites and engagement activities to build stronger connections beyond work.
Performance-based incentives and rewards recognizing your contribution and impact.

About Venxr

About the Role

Tech Stack

Frontend: React.js | Backend: Python (Django) | AI: Claude / LLM-driven development

Roles & Responsibilities

End-to-End Feature Ownership
Own features from concept to deployment — writing clean, scalable code while staying closely tied to the product goal and user impact behind it.
Full-Stack Development
Build and maintain front-end interfaces in React.js and back-end systems in Python/Django, ensuring performance, reliability, and scalability across the product.
Product Thinking
Work closely with Product, Design, and Founders to shape specs, question assumptions, and suggest simpler or smarter ways to solve user problems.
Rapid Iteration
Ship fast, test in production, gather feedback, and iterate, balancing speed with code quality.
Cross-Functional Collaboration
Partner with Design and Data teams to bring dashboards, AI-driven features, and data visualizations to life.
System Design & Architecture
Contribute to technical architecture decisions, ensuring the codebase stays scalable as the product and team grow.
Debugging & Problem Solving
Diagnose and resolve complex technical issues quickly, treating downtime or bugs as urgent, customer-impacting problems.
AI-Native Development
Actively build with AI — using Claude and other LLM tools not just to assist coding, but to develop AI-powered features, prompt workflows, and intelligent product capabilities within AdsGPT itself.

Requirements

1-2 years of experience as a Product Engineer, ideally in a startup or B2B SaaS environment
Candidates with B.Tech in CSE, AI/ML or any other equivalent educational background from Tier-1 and Tier-2 colleges will be preferred
Strong proficiency in React.js for front-end development
Strong proficiency in Python, with hands-on experience in Django for back-end development
Solid understanding of REST APIs, databases (SQL/NoSQL), and system design fundamentals
Hands-on experience building with AI tools (like Claude), not just using them for coding assistance, but developing core AI products.
Experience working directly with Product/Design teams, not just executing tickets
Comfortable working in ambiguous, fast-changing environments with minimal hand-holding
Strong debugging and problem-solving skills

Good to Have

Familiarity with the Model Context Protocol (MCP) for securely connecting LLMs to external tools and APIs.
Experience building conversational AI interfaces or managing complex multi-turn chatbot state across various platforms and channels.
Experience in AdTech, MarTech, or data-heavy SaaS platforms.
Exposure to cloud infra (AWS/GCP/Azure), Docker, and CI/CD pipelines.
Experience with LLM evaluation/monitoring tools (Ragas, LangSmith, Langfuse, or similar).
Experience with data visualization libraries (Recharts, D3.js, Chart.js).
Familiarity with compliance-aware or explainable AI design in regulated domains.

What We Look For In Candidates

Customer Obsession – A genuine curiosity about how your code impacts the customer's experience, not just whether it compiles.
Ownership – You drive features to completion, chasing down blockers instead of waiting on them.
Stakeholder Understanding & Management – You know when to loop in Product, Design, or Business to unblock yourself fast.
High Standards – You hold your own code to a higher bar, even when no one's checking.
Disagree and Commit – You debate technical decisions hard, then commit fully once the call is made.
Simplify Relentlessly – You reach for the simplest working solution, not the most "clever" one.
Solidarity with the Team – You show up for your teammates, no invitation needed.
Vitality – You bring real energy and resilience that keeps you (and others) going.

Why Join Venxr?
Be part of a fast-growing startup that puts data at the heart of every decision.
Opportunity to work on high-impact, real-world business challenges.
Collaborative, transparent, and learning-oriented work environment.
Flexible work culture with a strong focus on career development.
Comprehensive health benefits to support your well-being.
Team offsites and engagement activities to build stronger connections beyond work.
Performance-based incentives and rewards recognizing your contribution and impact.

Lead Fullstack AI Engineer

at Tracxn

Posted by Tracxn Technologies

Bengaluru (Bangalore)

4 - 8 yrs

₹10L - ₹25L / yr

React.js

NodeJS (Node.js)

Javascript

OpenAI API

Large Language Models (LLM)

+1 more

Total Experience: 4+ years

Mode of Hire: Permanent

Required Skills Set (Mandatory): HTML, JavaScript, Node.js, Express.js, MongoDB, React/Next.js, AI Integration (LLMs/APIs - OpenAI, Anthropic, Gemini)

Desired Skills (Good if you have): Cloud Platforms (AWS), System Design, Application Security

What is the role all about?

We're hiring full-stack engineers who build with AI, not the traditional way. You should be fluent in modern web engineering, primarily Node.js, and just as fluent in using LLMs and AI tools (Cursor, Claude Code, and similar) to ship fast. Work that once took a month should take a week; what took a week should take a day.

The role spans a range, from architecting backends for non-trivial products like assistants and agents, to rapidly turning a requirement into a clean, customer-facing app or MVP. Be strong in at least one area, be comfortable across the system as a whole, and tell us where you're strongest so we can place you accordingly.

What will you do?

Plan, build, and ship product features end-to-end, with AI embedded where it has the most impact.
Integrate LLMs and AI APIs into production-grade applications.
Use AI tools to prototype, build, and deliver at high speed without sacrificing quality.
Design scalable APIs and data models with Node.js, Express.js, and MongoDB.
Build responsive, performant, customer-facing interfaces with React/Next.js.
Contribute to design discussions, code reviews, and architectural decisions.

What are we looking for?

AI leverage:

You've shipped real things using LLMs or AI APIs and instinctively reach for AI to move faster.
Comfortable with prompt engineering and judging AI output for production-readiness.

Engineering depth and delivery:

Solid fundamentals: problem-solving, data structures, and how systems fit together.
At least 2+ years across frontend (React/Next.js), APIs (Node.js/Express.js), and databases (MongoDB).
You write clean, production-grade code and you ship.
Knowledge of application security or ethical hacking is an advantage.

Culture

Work with performance-oriented teams driven by ownership and passion.
Learn to design systems for high accuracy, efficiency, and scalability.
No strict deadlines, focus on delivering quality work.
Meritocracy-driven, candid culture. No politics.
Very high visibility regarding which startups and markets are exciting globally.

About Tracxn

Tracxn (Tracxn.com) is a Bangalore-based product company that provides a research and deal-sourcing platform for Venture Capital, Private Equity, Corp Dev, and professionals in the startup ecosystem.

We are a team of 800+ working professionals serving customers across the globe. Our clients include Funds such as Andreessen Horowitz, Matrix Partners, and GGV Capital, as well as Large Corporates such as Citi, Embraer & Ferrero.

Founders

Neha Singh (ex-Sequoia, BCG | MBA - Stanford GSB)
Abhishek Goyal (ex-Accel Partners, Amazon | BTech - IIT Kanpur)

About Technology Team

Tracxn's Technology team is 50+ members strong and growing. The technology team is subdivided into multiple smaller teams, each of which owns one or more services/components of the technology platform. Ours is a young team of motivated engineers with a minimal management structure, in which almost everyone is actively involved in technical development and design. We have a team-centric culture where ownership and responsibility for a feature or module lie with a team rather than an individual.

We work on an array of technologies, including but not limited to ReactJS, Next.js, Storybook, Webpack, Node, Mongo, AWS Lambda, Spring, Elastic Stack, MySQL, Kafka, Redis, Ansible, etc.

We value ownership, continuous learning, consistency, and discipline as a team.

Total Experience: 4+ years

Mode of Hire: Permanent

Required Skills Set (Mandatory): HTML, JavaScript, Node.js, Express.js, MongoDB, React/Next.js, AI Integration (LLMs/APIs - OpenAI, Anthropic, Gemini)

Desired Skills (Good if you have): Cloud Platforms (AWS), System Design, Application Security

What is the role all about?

What will you do?

Plan, build, and ship product features end-to-end, with AI embedded where it has the most impact.
Integrate LLMs and AI APIs into production-grade applications.
Use AI tools to prototype, build, and deliver at high speed without sacrificing quality.
Design scalable APIs and data models with Node.js, Express.js, and MongoDB.
Build responsive, performant, customer-facing interfaces with React/Next.js.
Contribute to design discussions, code reviews, and architectural decisions.

What are we looking for?

AI leverage:

You've shipped real things using LLMs or AI APIs and instinctively reach for AI to move faster.
Comfortable with prompt engineering and judging AI output for production-readiness.

Engineering depth and delivery:

Solid fundamentals: problem-solving, data structures, and how systems fit together.
At least 2+ years across frontend (React/Next.js), APIs (Node.js/Express.js), and databases (MongoDB).
You write clean, production-grade code and you ship.
Knowledge of application security or ethical hacking is an advantage.

Culture

Work with performance-oriented teams driven by ownership and passion.
Learn to design systems for high accuracy, efficiency, and scalability.
No strict deadlines, focus on delivering quality work.
Meritocracy-driven, candid culture. No politics.
Very high visibility regarding which startups and markets are exciting globally.

About Tracxn

Tracxn (Tracxn.com) is a Bangalore-based product company that provides a research and deal-sourcing platform for Venture Capital, Private Equity, Corp Dev, and professionals in the startup ecosystem.

Founders

Neha Singh (ex-Sequoia, BCG | MBA - Stanford GSB)
Abhishek Goyal (ex-Accel Partners, Amazon | BTech - IIT Kanpur)

About Technology Team

We work on an array of technologies, including but not limited to ReactJS, Next.js, Storybook, Webpack, Node, Mongo, AWS Lambda, Spring, Elastic Stack, MySQL, Kafka, Redis, Ansible, etc.

We value ownership, continuous learning, consistency, and discipline as a team.

Technical Lead

at Quanteon Solutions

1 recruiter

Posted by DurgaPrasad Sannamuri

Hyderabad

6 - 10 yrs

₹10L - ₹30L / yr

Retrieval Augmented Generation (RAG)

React.js

NodeJS (Node.js)

PostgreSQL

Amazon Web Services (AWS)

+8 more

Key Requirements / Skills

6+ years of overall experience in software development with strong expertise in building scalable web applications.
2+ years of experience as a Technical Lead, managing development teams and driving project delivery.
Strong technical decision-making ability, including architecture design, technology selection, and implementation of best practices.
Front-end expertise: Strong experience in React, JavaScript, TypeScript, and building responsive and user-friendly UI/UX.
Back-end development: Hands-on experience with Node.js, RESTful APIs, API design, and server-side architecture.
Gen AI Expertise: Experience in building RAG & LLM Systems, implementing AI/ML models or integrating AI-based solutions to solve business problems.
Cloud & DevOps exposure: Experience with AWS/Azure, understanding of CI/CD pipelines, and cloud-based deployments.
Code quality & best practices: Experience in code reviews, Git version control, and ensuring maintainable and secure code.
Team leadership: Ability to mentor developers, guide technical discussions, and collaborate across teams.
Strong communication skills to effectively interact with technical and non-technical stakeholders.
Experience working in high-compliance environments such as healthcare systems is a plus.

Education Qualifications:

B.Tech/M.Tech in CSE/IT/AI/ML from a good university

Key Requirements / Skills

6+ years of overall experience in software development with strong expertise in building scalable web applications.
2+ years of experience as a Technical Lead, managing development teams and driving project delivery.
Strong technical decision-making ability, including architecture design, technology selection, and implementation of best practices.
Front-end expertise: Strong experience in React, JavaScript, TypeScript, and building responsive and user-friendly UI/UX.
Back-end development: Hands-on experience with Node.js, RESTful APIs, API design, and server-side architecture.
Gen AI Expertise: Experience in building RAG & LLM Systems, implementing AI/ML models or integrating AI-based solutions to solve business problems.
Cloud & DevOps exposure: Experience with AWS/Azure, understanding of CI/CD pipelines, and cloud-based deployments.
Code quality & best practices: Experience in code reviews, Git version control, and ensuring maintainable and secure code.
Team leadership: Ability to mentor developers, guide technical discussions, and collaborate across teams.
Strong communication skills to effectively interact with technical and non-technical stakeholders.
Experience working in high-compliance environments such as healthcare systems is a plus.