We're building Juliet, an AI that runs marketing end to end. Our users are marketers, founders, CEOs, growth leads, agencies, and SMBs — not developers. They

tell Juliet the goal. She plans, writes production code, and ships real marketing: conversion-optimized websites, launch assets, campaigns, audits, autonomously.

That's the engineering problem in one line: the humans in the loop can't read code, so the agent has to get it right on her own — plan, build, self-correct,

recover, ship.

Under the hood: a browser-based studio backed by cloud sandboxes, a real-time SSE streaming pipeline, and a LangGraph agent working across 83 tools and 63 skill

modules. The agent isn't bolted onto the product. She is the product.

Small team, big ambitions. You'll ship things users touch daily, not write tickets about them.

---

THE ROLE

We're hiring one architect-level backend engineer to own Juliet's agentic infrastructure end to end. That means the agent graph, the execution environment, the

streaming pipeline, the state and memory systems — and setting technical direction for the engineers working alongside you.

This is a player-coach seat. You'll still write code every day, and your architectural calls become the product. You'll work directly with the founder. No PMs in

between.

Frontend is part of the system. You won't be leading it, but you'll need to understand how the agent's output reaches the browser and be able to ship full-stack

features when needed.

---

THE STACK

AI agent (primary): Python 3.11, LangGraph 1.x + LangChain, Anthropic / Google / OpenAI model providers

API (primary): NestJS 11, Supabase, Redis, PostgreSQL, Server-Sent Events

Infra (primary): Modal cloud sandboxes, Docker, Netlify deployments

Frontend (secondary): Next.js 15, React 19, TypeScript, Zustand, CodeMirror 6, XTerm.js

Monorepo: Turborepo, pnpm

---

WHAT YOU'LL WORK ON

The majority of your time is here:

Agentic AI workflows — Design, extend, and harden the LangGraph agent graph: multi-step planning, code generation, tool dispatch, self-correction, and recovery

across 83 tools and 63 skill modules. This is the core of the product.

Real-time streaming architecture — The SSE pipeline that carries every agent action from the Python backend through NestJS to the browser: event framing,

reconnection, health monitoring, interrupt handling for plan approvals and clarifying questions.

Agent execution environments — Sandbox lifecycle on Modal: container spin-up, file sync, terminal I/O, command execution, and live preview with per-asset esbuild

bundling. The agent lives here.

State and memory systems — LangGraph Postgres checkpointers, middleware-injected context (goals, design docs, memory anchors), conversation summarization. How

the agent knows what it knows.

Backend API and data layer — NestJS services, Supabase schema, Redis caching, quota enforcement, webhook handling. The plumbing the agent depends on.

Marketing intelligence pipelines — AEO, CRO, and brand-perception audit engines: multi-LLM probing, parallel inference, streamed structured reports, result

caching. Audit-at-scale infrastructure.

The remaining ~25% of your time:

Full-stack product features — Collaboration (roles and permissions), the Netlify deployment pipeline, subscription and quota flows, onboarding. You'll ship these

end to end — backend first, frontend to close the loop.

---

WHAT WE'RE LOOKING FOR

Must-have:

- 8+ years of professional software engineering, including meaningful time as a tech lead or systems architect who owned something end to end. Closer to ten is

the norm for people who thrive here.

- Both worlds on your resume: engineering rigor inside a large company and 0-to-1 ownership at an early-stage startup.

- Production agentic systems experience. You've built and operated LLM agent systems in production with LangGraph, LangChain, or equivalent — agent graphs, tool

use, state management, prompt engineering, evals. This means well beyond calling a chat endpoint.

- Strong Python. You design and ship production Python daily. The agent codebase is yours to own.

- Architect-level system design. You can own how data flows across four services, make tradeoffs under uncertainty, and defend every call.

- AI-native development workflow. You drive Claude Code, Codex, or similar agentic tools as everyday instruments — not occasionally. You have opinions about

working with coding agents because you do it constantly.

- Real-time backend systems. You've built SSE, WebSocket, or streaming API infrastructure in production — not just consumed it.

- Strong TypeScript. The API layer and most product features are in TypeScript. You're productive in it.

Strong plus:

- Background in developer tools, IDEs, or coding/execution platforms

- Container runtimes and sandboxed execution (Modal, E2B, Firecracker, or similar)

- Depth in PostgreSQL, Redis, and Supabase

- LLM observability and evals tooling (LangSmith or similar)

- NestJS or equivalent Node.js API framework experience

- React/Next.js — enough to ship a full-stack feature without handoff

- Exposure to marketing, growth, or publisher-facing products

---

WHY THIS ROLE IS DIFFERENT

You own the architecture. Not a feature factory. Not someone else's design doc. The technical execution of an AI product is yours to lead.

The agent is the product. You're not adding AI to an existing system. You're building and operating the system that is the AI. Every architectural decision

touches what Juliet can and can't do.

Hard problems, always. The system spans cloud sandboxes, streaming infrastructure, multi-step agent graphs, and a full-stack web product — for non-technical

users who can't course-correct a broken output. The bar is high.

Small team, real leverage. Your code ships to users the same week. No layers of approval.

---

HOW TO APPLY

Send us:

1. A short note on the most complex agentic system you've shipped: what broke, and what you'd redo. A link to something you've built that involves agent graphs, tool use, or autonomous multi-step execution

2. What is one thing you would improve about Juliet? It could be a feature or a bug.

Experience: 8+ years, senior candidates only | Type: Full-time | Location: Remote (India)

---

WHAT WE'RE BUILDING

See http://www.juliet.space

We're building Juliet, an AI that runs marketing end to end. Our users are marketers, founders, CEOs, growth leads, agencies, and SMBs — not developers. They

tell Juliet the goal. She plans, writes production code, and ships real marketing: conversion-optimized websites, launch assets, campaigns, audits, autonomously.

That's the engineering problem in one line: the humans in the loop can't read code, so the agent has to get it right on her own — plan, build, self-correct,

recover, ship.

Under the hood: a browser-based studio backed by cloud sandboxes, a real-time SSE streaming pipeline, and a LangGraph agent working across 83 tools and 63 skill

modules. The agent isn't bolted onto the product. She is the product.

Small team, big ambitions. You'll ship things users touch daily, not write tickets about them.

---

THE ROLE

We're hiring one architect-level backend engineer to own Juliet's agentic infrastructure end to end. That means the agent graph, the execution environment, the

streaming pipeline, the state and memory systems — and setting technical direction for the engineers working alongside you.

This is a player-coach seat. You'll still write code every day, and your architectural calls become the product. You'll work directly with the founder. No PMs in

between.

Frontend is part of the system. You won't be leading it, but you'll need to understand how the agent's output reaches the browser and be able to ship full-stack

features when needed.

---

THE STACK

AI agent (primary): Python 3.11, LangGraph 1.x + LangChain, Anthropic / Google / OpenAI model providers

API (primary): NestJS 11, Supabase, Redis, PostgreSQL, Server-Sent Events

Infra (primary): Modal cloud sandboxes, Docker, Netlify deployments

Frontend (secondary): Next.js 15, React 19, TypeScript, Zustand, CodeMirror 6, XTerm.js

Monorepo: Turborepo, pnpm

---

WHAT YOU'LL WORK ON

The majority of your time is here:

Agentic AI workflows — Design, extend, and harden the LangGraph agent graph: multi-step planning, code generation, tool dispatch, self-correction, and recovery

across 83 tools and 63 skill modules. This is the core of the product.

Real-time streaming architecture — The SSE pipeline that carries every agent action from the Python backend through NestJS to the browser: event framing,

reconnection, health monitoring, interrupt handling for plan approvals and clarifying questions.

Agent execution environments — Sandbox lifecycle on Modal: container spin-up, file sync, terminal I/O, command execution, and live preview with per-asset esbuild

bundling. The agent lives here.

State and memory systems — LangGraph Postgres checkpointers, middleware-injected context (goals, design docs, memory anchors), conversation summarization. How

the agent knows what it knows.

Backend API and data layer — NestJS services, Supabase schema, Redis caching, quota enforcement, webhook handling. The plumbing the agent depends on.

Marketing intelligence pipelines — AEO, CRO, and brand-perception audit engines: multi-LLM probing, parallel inference, streamed structured reports, result

caching. Audit-at-scale infrastructure.

The remaining ~25% of your time:

Full-stack product features — Collaboration (roles and permissions), the Netlify deployment pipeline, subscription and quota flows, onboarding. You'll ship these

end to end — backend first, frontend to close the loop.

---

WHAT WE'RE LOOKING FOR

Must-have:

- 8+ years of professional software engineering, including meaningful time as a tech lead or systems architect who owned something end to end. Closer to ten is

the norm for people who thrive here.

- Both worlds on your resume: engineering rigor inside a large company and 0-to-1 ownership at an early-stage startup.

- Production agentic systems experience. You've built and operated LLM agent systems in production with LangGraph, LangChain, or equivalent — agent graphs, tool

use, state management, prompt engineering, evals. This means well beyond calling a chat endpoint.

- Strong Python. You design and ship production Python daily. The agent codebase is yours to own.

- Architect-level system design. You can own how data flows across four services, make tradeoffs under uncertainty, and defend every call.

- AI-native development workflow. You drive Claude Code, Codex, or similar agentic tools as everyday instruments — not occasionally. You have opinions about

working with coding agents because you do it constantly.

- Real-time backend systems. You've built SSE, WebSocket, or streaming API infrastructure in production — not just consumed it.

- Strong TypeScript. The API layer and most product features are in TypeScript. You're productive in it.

Strong plus:

- Background in developer tools, IDEs, or coding/execution platforms

- Container runtimes and sandboxed execution (Modal, E2B, Firecracker, or similar)

- Depth in PostgreSQL, Redis, and Supabase

- LLM observability and evals tooling (LangSmith or similar)

- NestJS or equivalent Node.js API framework experience

- React/Next.js — enough to ship a full-stack feature without handoff

- Exposure to marketing, growth, or publisher-facing products

---

WHY THIS ROLE IS DIFFERENT

You own the architecture. Not a feature factory. Not someone else's design doc. The technical execution of an AI product is yours to lead.

The agent is the product. You're not adding AI to an existing system. You're building and operating the system that is the AI. Every architectural decision

touches what Juliet can and can't do.

Hard problems, always. The system spans cloud sandboxes, streaming infrastructure, multi-step agent graphs, and a full-stack web product — for non-technical

users who can't course-correct a broken output. The bar is high.

Small team, real leverage. Your code ships to users the same week. No layers of approval.

---

HOW TO APPLY

Send us:

2. What is one thing you would improve about Juliet? It could be a feature or a bug.

Users love Cutshort

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.

Companies hiring on Cutshort

About Juliet AI, Inc.

Founded :

2025

Type :

Product

Size :

0-20

Stage :

Bootstrapped

About

www.juliet.space

Agentic AI Coding

Company social profiles

N/A

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2 - 4 yrs

₹10L - ₹30L / yr

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Build campaign generation services which can send app notifications at a speed of 10 million a minute.
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Dashboards to show Real time key performance indicators to clients.
Develop complex user segmentation engines which creates segments on Terabytes of data within few seconds.
Use AWS products extensively across our services such as Kinesis Data Streams, Lambda, SQS etc. that form an integral part of our scalable and robust infrastructure.
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Identify and improvise areas of improvement through data insights and research.

What we look for?

4-7 years’ experience in full stack Python development
Very strong analytic and problem-solving skills
Solid understanding of a relevant and globally supported framework- both front-end and back-end, if necessary, for example - Angular, React, Vue, or Django/Flask.
Solid understanding of engineering best practices, continuous integration, and incremental delivery.
Proven experience on design and implementation of the overall web and database architecture and updated knowledge on the latest practices and associated versions.
Ensuring the entire stack is designed and built for speed and scalability.
Familiarity with RESTful API design.
Knowledge of continuous integration and deployment.
Familiarity with Server management and deployment on AWS/GCE.
Sound knowledge of CSS pre-processors, bundlers, and associated languages/syntaxes/libraries like Sass, Less, and webpack
Experience implementing testing platforms and unit tests.

What’s in it for you?

Immense growth, continuous learning and deliver the best to the top-notch brands
Work with some of the most innovative brains
Opportunity to explore your entrepreneurial mind-set
Open culture where your creative bug gets activated.

If this sounds like a company you would like to be a part of, and a role you would thrive in, please don’t hold back from applying! We need your unique perspective for our continued innovation and success!

So let’s converse! Our inquisitive nature is all keen to know more about you.

Job Type: Full Time

Location: Permanent Remote / Bangalore / Thane

Skills: PYTHON, Django, Reactjs, Vue, Flask

Job Description

Are you passionate enough to be a crucial part of a highly analytical and scalable user engagement platform?

Are you ready learn new technologies and willing to step out of your comfort zone to explore and learn new skills?

If so, this is an opportunity for you to join a high-functioning team and make your mark on our organization!

The Impact you will create in the Job:

Build campaign generation services which can send app notifications at a speed of 10 million a minute.
Leverage the power of Kubernetes to maintain clusters running inside VPC's across the world.
Dashboards to show Real time key performance indicators to clients.
Develop complex user segmentation engines which creates segments on Terabytes of data within few seconds.
Use AWS products extensively across our services such as Kinesis Data Streams, Lambda, SQS etc. that form an integral part of our scalable and robust infrastructure.
As an individual contributor, you will tackle some of our broadest technical challenges that requires deep technical knowledge, hands-on software development, technical leadership, and seamless collaboration with all functions.
You will envision and develop features that are highly reliable and fault tolerant to deliver a superior customer experience.
You will get an opportunity to work with some of the best talent in the country while learning from various highly-functional teams in the company.
Plan and execute the roadmap with the engineering team to build and deliver next-generation systems.
You will also collaborate with cross-functional teams to meet deliverables throughout the software development lifecycle.
Identify and improvise areas of improvement through data insights and research.

What we look for?

4-7 years’ experience in full stack Python development
Very strong analytic and problem-solving skills
Solid understanding of a relevant and globally supported framework- both front-end and back-end, if necessary, for example - Angular, React, Vue, or Django/Flask.
Solid understanding of engineering best practices, continuous integration, and incremental delivery.
Proven experience on design and implementation of the overall web and database architecture and updated knowledge on the latest practices and associated versions.
Ensuring the entire stack is designed and built for speed and scalability.
Familiarity with RESTful API design.
Knowledge of continuous integration and deployment.
Familiarity with Server management and deployment on AWS/GCE.
Sound knowledge of CSS pre-processors, bundlers, and associated languages/syntaxes/libraries like Sass, Less, and webpack
Experience implementing testing platforms and unit tests.

What’s in it for you?

Immense growth, continuous learning and deliver the best to the top-notch brands
Work with some of the most innovative brains
Opportunity to explore your entrepreneurial mind-set
Open culture where your creative bug gets activated.

So let’s converse! Our inquisitive nature is all keen to know more about you.

Software Engineer

Service company, helps businesses harness the power of data

Agency job

via Jobdost by Ankitha Vyas

Remote only

2 - 3 yrs

₹5L - ₹7.5L / yr

Python

Ruby

Ruby on Rails (ROR)

DOM

XPath

+2 more

About the Company:

It is a Data as a Service company that helps businesses harness the power of data. Our technology fuels some of the most interesting big data projects of the word. We are a small bunch of people working towards shaping the imminent data-driven future by solving some of its fundamental and toughest challenges.

Role: We are looking for an experienced team lead to drive data acquisition projects end to end. In this role, you will be working in the web scraping team with data engineers, helping them solve complex web problems and mentor them along the way. You’ll be adept at delivering large-scale web crawling projects, breaking down barriers for your team and planning at a higher level, and getting into the detail to make things happen when needed.

Responsibilities

Interface with clients and sales team to translate functional requirements into technical requirements
Plan and estimate tasks with your team, in collaboration with the delivery managers
Engineer complex data acquisition projects
Guide and mentor your team of engineers
Anticipate issues that might arise and proactively consider those into design
Perform code reviews and suggest design changes

Prerequisites

Between 2-3 years of relevant experience
Fluent programming skills and well-versed with scripting languages like Python or Ruby
Solid foundation in data structures and algorithms
Excellent tech troubleshooting skills
Good understanding of web data landscape
Prior exposure to DOM, XPATH and hands on experience with selenium/automated testing is a plus

About the Company:

Responsibilities

Interface with clients and sales team to translate functional requirements into technical requirements
Plan and estimate tasks with your team, in collaboration with the delivery managers
Engineer complex data acquisition projects
Guide and mentor your team of engineers
Anticipate issues that might arise and proactively consider those into design
Perform code reviews and suggest design changes

Prerequisites

Between 2-3 years of relevant experience
Fluent programming skills and well-versed with scripting languages like Python or Ruby
Solid foundation in data structures and algorithms
Excellent tech troubleshooting skills
Good understanding of web data landscape
Prior exposure to DOM, XPATH and hands on experience with selenium/automated testing is a plus

Python Developer

It's based in Indore location

Agency job

via Jobrisers by Prachi Recruiter

Indore

5 - 15 yrs

₹2L - ₹12L / yr

Python

Django

Technology: Python
Experience: 5+Yrs
Salary: Good hike on last drawn salary
Location: Indore
Working hours: 8 hours/day
Working days: 5 days/ week

Skills

As per 5 yrs below is the tech stack that he should know around django:

· Django forms

· Django Rest APIs

· Schedulers/Cron Jobs

· Customising middlewares

· Customising permission classes

· Management commands

· Fixtures

· Multiple Environment handling

· Multiple database integration

· SQL and NoSQL database integration experience

· Use of loggers or any logging mechanism

· Signals

· Push notifications over IOS/Android devices

· Email notifications

· Websockets

· Unit testing

· Caching

· Payment gateway integration

AWS & Deployment Skills:

· Deployment of Django over EC2 using Nginx or Apache2

· Configuring the Django to run the services like websockets, celery

· Using and configuring the RDS

· Should know how to use S3 buckets

aws-lambda

Technology: Python
Experience: 5+Yrs
Salary: Good hike on last drawn salary
Location: Indore
Working hours: 8 hours/day
Working days: 5 days/ week

Skills

As per 5 yrs below is the tech stack that he should know around django:

· Django forms

· Django Rest APIs

· Schedulers/Cron Jobs

· Customising middlewares

· Customising permission classes

· Management commands

· Fixtures

· Multiple Environment handling

· Multiple database integration

· SQL and NoSQL database integration experience

· Use of loggers or any logging mechanism

· Signals

· Push notifications over IOS/Android devices

· Email notifications

· Websockets

· Unit testing

· Caching

· Payment gateway integration

AWS & Deployment Skills:

· Deployment of Django over EC2 using Nginx or Apache2

· Configuring the Django to run the services like websockets, celery

· Using and configuring the RDS

· Should know how to use S3 buckets

aws-lambda

Backend Developer

A Leading Digital & Tech Enabled Staffing Platform Comp

Agency job

via XL Recruiters by Yashika Gupta

Remote, Bengaluru (Bangalore)

2 - 5 yrs

₹12L - ₹25L / yr

Python

NodeJS (Node.js)

Django

Express

Flask

Excellent knowledge in one or more of Python/NodeJS REST Frameworks
Hands on experience in system architecture and data modelling. Experience with databases like MySQL, Postgres, MongoDB.
Devops capabilities - with good understanding of deployments and cloud infrastructure. In depth knowledge of container architecture using Docker is must.
Scaled systems using RabbitMQ/ Redis /Celery/ Kafka

Excellent knowledge in one or more of Python/NodeJS REST Frameworks
Hands on experience in system architecture and data modelling. Experience with databases like MySQL, Postgres, MongoDB.
Devops capabilities - with good understanding of deployments and cloud infrastructure. In depth knowledge of container architecture using Docker is must.
Scaled systems using RabbitMQ/ Redis /Celery/ Kafka

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