MongoDB
NodeJS (Node.js)
Amazon Web Services (AWS)
Python
Shubham Vishwakarma
Full Stack Developer - Averlon
About DQ Labs
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Python
Django
FlaskShortened version:
- 5+ years experience in Python with strong core concepts (OOP, data structures, exception handling, problem-solving)
- Experience with FastAPI (preferred) or Flask/Django
- Strong REST API development & authentication (JWT/OAuth)
- SQL (MySQL/PostgreSQL) & NoSQL (MongoDB/Firestore) experience
- Basic cloud knowledge (GCP or AWS)
- Git, code reviews, clean coding & performance optimization
- Good communication and teamwork skills
Responsibilities:
- Build and maintain scalable backend apps and REST APIs
- Work with databases, third-party integrations, and cloud deployments
- Write clean, testable, optimized code
- Debug, troubleshoot, and improve performance
- Collaborate with team on technical solutions
Good to have:
- GCP (BigQuery, Dataflow, Cloud Functions)
- Microservices, Redis/Kafka/RabbitMQ
- Docker, CI/CD
- Basic Pandas/Numpy for data handling
Perks & Benefits
- 5 Days Working
- Family Health Insurance
- Relaxation Area
- Affordable Lunch
- Free Snacks & Drinks
- Open Work Culture
- Competitive Salary & Benefits
- Festival Celebrations
- International Exposure Opportunities
- 20 Paid Leaves per Year
- Marriage Leave & Parental Leave Policy
PythonExperience: 8+ years, senior candidates only | Type: Full-time | Location: Remote (India)
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WHAT WE'RE BUILDING
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.
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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
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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.
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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.
JavaNodeJS (Node.js)Python
Elastic Search
NodeJS (Node.js)MongoDB
Express
NodeJS (Node.js)Amazon Web Services (AWS)MongoDBShould have Excellent Experience of Node.js.
In-Depth knowledge of Express Js, JavaScript, TypeScript,
Should have experience in MongoDB, My SQL, GraphQL and any graph Database
Experience working with REST APIs, and Sockets.
Ability to Identify and fix production and non-production application issues as a part of the deployment.
Good Knowledge of AWS - Beanstalk, Cloud Watch.
Good to have Agile/JIRA/ Continuous Deployment experience.
Good Knowledge of JSON, API, and JWT
Ability and willingness to manage multiple projects/tasks.
Basic Understanding of HTML5, CSS.
Job Responsibilities:
Understanding accessibility and security compliance (Depending on the specific project)
User authentication and authorization between multiple systems, servers, and environments.
Integration of multiple data sources and databases into one system
Understanding fundamental design principles behind a scalable application.
NodeJS (Node.js)
JavascriptKey Responsibilities:
- Rewrite existing APIs in NodeJS.
- Remodel the APIs into Micro services-based architecture.
- Implement a caching layer wherever possible.
- Optimize the API for high performance and scalability.
- Write unit tests for API Testing.
- Automate the code testing and deployment process.
Skills Required:
- At least 3 years of experience developing Backends using NodeJS — should be well versed with its asynchronous nature & event loop, and know its quirks and workarounds.
- Excellent hands-on experience using MySQL or any other SQL Database.
- Good knowledge of MongoDB or any other NoSQL Database.
- Good knowledge of Redis, its data types, and their use cases.
- Experience with graph-based databases like GraphQL and Neo4j.
- Experience developing and deploying REST APIs.
- Good knowledge of Unit Testing and available Test Frameworks.
- Good understanding of advanced JS libraries and frameworks.
- Experience with Web sockets, Service Workers, and Web Push Notifications.
- Familiar with NodeJS profiling tools.
- Proficient understanding of code versioning tools such as Git.
- Good knowledge of creating and maintaining DevOps infrastructure on cloud platforms.
- Should be a fast learner and a go-getter — without any fear of trying out new things Preferences.
- Experience building a large scale social or location-based app.
NodeJS (Node.js)ExpressJavascript
Backbone.jsThis is currently a Hybrid mode WFO from the WeWork location closest to your home/option for a permanent Remote WFH position.
Mandatory Experience: 1 to 4 years as LEAD or Overall experience of 6+ Years in Software Development
Responsibilities :
- Build reusable code and libraries for future use.
- Own & build new modules/features end-to-end independently.
- Collaborate with other team members and stakeholders.
Required Experience, skills and abilities :
- Thorough understanding of Node.js, JavaScript, its quirks, and workarounds.
- Excellence in at least one framework like StrongLoop loopback, express.js, sail.js etc.
- Excellence in at least one Javascript framework like, vue.js, Ember, React or Backbone.
- Basic architectural understanding of modern-day web applications
- Diligence for coding standards
- Must be good with git and git workflow
- Experience with external integrations is a plus
- Working knowledge of AWS, GCC, Azure
- Expertise with Linux-based systems
- Experience with CI/CD tools like Jenkins is a plus.
- Experience with testing and automation frameworks.
- Extensive understanding of RDBMS systems
Interpersonal Skills :
- Go-getter attitude and a passion for making killer web applications
- Good communication and interpersonal skills.
- Ability to work in a high-pressure environment
- Ability to quickly understand complex problems and devise effective solutions
Extra plusses(Optional) :
- Knowledge of D3/NodeJS/dash etc.
- Experience with Cloud as a platform or Infrastructure.
- Inclination to application design standards
Other Details :
Salary: Market standard with performance-linked benefits Depending upon the candidates
Industry: Financial Technology
Functional Area: BFSI
Ruby on Rails (ROR)NodeJS (Node.js)MongoDB
PostgreSQL
RedisOur Client is B2B SaaS Product Co. in the space of HR Technology. They are helping organisations to take informed decisions in the areas like Hiring, Training and Career Succession processes. The company was formed in 2010 and since has become a market leader in HR technology space. The founders are alumni of Stanford University and their employees have experience in working with PWC, McKinsey and other similar leagues of organisations.With a bright vision of the founders, the organisation is in an expansion mode to capture niche markets and become a global leader in this domain.
- Experience in Back-End development using Ruby on Rails or NodeJS
- Experience in working on at least two of MongoDB / Postgres / MySQL & Redis
- Experience on MVC patterns using frameworks like Rails, ExpressJS
- Strong understanding of RESTful APIs and HTTP protocol
- Understanding Security aspects of the applications and can successfully implement OWASP compliant systems
- Strong understanding of Linux OS, File Systems, Firewalls etc
- 3 years Experience in Ruby on Rails
- Minimum 3 years in MongoDB / PostgreSQL
- Must be from Product based companies
PythonJavaNodeJS (Node.js)Role- Full time
Experience Level- 8 to 13 Years
Job Location- Hyderabad
Key Responsibilities :
Serves as a technical point of contact within the organization by:
Influencing the product requirements, behaviour and design (Automation Platform)
Driving early adoption of technology, features and best practices around product development
Lead development at all layers GUI, Backend ( DevOps Tools API integration) & DB
Work with a team of developers and testers in a highly agile environment to produce high-quality software.
Design and developing house tools. Also, expected to demonstrate new ideas through prototypes/Proof of Concepts.
Evaluate and Assess newer technologies/architecture for product development
Keeping up to date with emerging technologies/tools in DevOps Space and developments trends to assess the impact of the projects.
Must have:
Should possess Bachelors/Masters/ PhD in computer science with a minimum of 8+ years of experience
Should possess a minimum of 3 years of experience in Products/Tools Development
Should possess expertise in using various DevOps tools libraries and API's (Jenkins/JIRA/AWX/Nexus/GitHub/BitBucket/ SonarQube)
Experience in designing and developing products, tools or test automation frameworks using Java or Python technologies.
Should have a strong understanding of OOPs, SDLC (Agile Safe standards), STLC
Proficient in Python, with a good knowledge of its ecosystems (IDEs and Frameworks)
Familiar with designing and developing applications using AngularJS, HTML5, Bootstrap, NodeJS, MongoDB, etc.
Experience in implementing, consuming and testing Web services Rest APIs would be an added advantage.
Experience working as a Full-Stack developer would be an added advantage
Regards,
Talent Acquisition Team
NodeJS (Node.js)MongoDB
GitJavascriptExpress
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon