Python Developer

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

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 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.

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 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.

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 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

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 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.

Job Description

Build and maintain bots on Azure platform.  Integration with Active directory, WEB API based integration with external systems. Training and Integrate bots as per users’ requirements. Work in line with design guidelines, best practices and standards of bot deliverable. Creative approach to the conversation flow design, human aspects in the bot responses and sentiments

Qualifications

1. a) 5 years of experience in software development with clear understanding of the project life cycle
   b) Min 2-3 years of hands-on experience in Microsoft Azure Bot Framework, LUIS and other Cognitive services offered by Azure
   c) Hands on experience with Machine Learning based chat bots
   d) Experience with Azure bot services like Text Analytics etc.
   e)Strong database skills and hands-on experience on databases like SQL Server/Oracle
2. f) Strong experience on Azure Active directory and adaptive cards integration in Chat bot.
3. g) Strong experience designing and working with

with service-oriented architectures (SOA) and WebAPIs.

1. h) A strong experience on Microsoft Azure, ASPNET / MVC and programming languages such as C#/VBNET
2. i) Knowledge of Python and NodeJS is a plus
3. j) Ability to design and optimize SQL Server 2008 stored procedures.
4. k) Experience with JQuery, CSS3, HTML5 or similar technologies.
5. l) Ability to adapt quickly to an existing, complex environment.

Basic Qualifications:

• 3+ years of non-internship professional software development experience
• Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
• 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.

Additional Job requirements

• BS/MS/PhD in Computer Science/Math or equivalent
• BS in computer science or related field.
• 2+ years of relevant professional software development experience: designing, developing, and delivering software written in Java, C#, or C++, web development.
• Knowledgeable in object-oriented design patterns.
• Experience building highly scalable and distributed systems

Preferred Qualifications

• Experience with service-oriented architecture and application/services development
• Passion for performance debugging and benchmarking

Ability to clearly and concisely communicate with technical and non-technical stakeholders across all levels of the organization

Responsibilities for Staff Engineer role:

• Having experience in Java/Python/Golang along with Springboot, Micorservices, RDBMS
• Experience required: 10yrs to 15 yrs.

What you need to have:

Job Description

• Design & implement backend APIs 
• Mentor junior developers technically.
• Actively work to reduce tech debt in the backend
• Work towards more stability & scalability of the backend
• Tech stack - Java, AWS, Aurora etc. 

Eligibility

• 4-8 years of product company experience
• OOP implementation experience. Programming language does not matter. We use Java internally but have hired folks from non Java background.
• Hands on experience in SQL, Dynamo DB, Postgres etc preferred. 
• Prior experience building REST APIs
• Advanced understanding of AWS stack
• Prior knowledge of solving problems at scale.

We are looking to hire a Full-time, Remote (India) Backend engineer with a flair for writing full stack code to help create a SAAS product from the ground up in a niche industry.
This will be the v2.0 of an existing legacy platform with paying customers. This position is within the first few hires in the founding team of the revamped company.
We are on a mission to build a truly world class product and deliver at high speeds with high quality.

Read on and apply for the job if you are a doer, likes no BS, think you're competent enough to get things done, wants some quiet time every day, wants to make a difference, values work life balance and enjoy life outside work.

Experience -

At least 3 to 4 years building scalable SAAS applications in the cloud. It would be great to showcase anything progressive. Education from premier institutions, git contributions, tech blogs, volunteering, pet projects, etc.

Responsibilities -
- Architect, write, deploy and own the (SAAS) product from a technical standpoint working closely with other devs on the team
- Create and deliver the product end-to-end all the way to the user
- Write highly performant code and continuously measure performance and make the application better based on benchmarks
- Debug production issues and keep the application quality high always
- Assist with hiring more people when the team grows
- Pick up any appropriate work as in any early-stage company

General Skills Needed -

- Should be able to build and deploy multi-tenant SAAS applications end to end
- Need to have a technology-agnostic mindset. Should be able to easily pick up any new technology based on the use case.
- Should be an expert software craftsman/craftswoman. Must own the code and be proud of what you build.
- Write well thought out, well-tested code with extensive unit tests and integration tests so that the addition of future features is easy.
- Must know cloud deployment concepts and be comfortable creating and maintaining cost-effective cloud deployment strategies. AWS experience highly preferred.
- Must be able to design and architect simple, market-tested yet highly scalable solutions
- Must be able to quickly iterate and produce working software at a high speed. Must not be shy to scrap and rebuild when there is a need
- Must be appreciative of documentation and write well-documented code and technical documentation alongside

Technical Skills Needed -
- Expert level knowledge in Python and Django. We are a Python/Django/Javascript/ReactJs/AWS shop.
- Must have good knowledge/experience in creating cost-efficient and scalable cloud deployments (AWS preferred)
- Must have good knowledge of industry-standard design patterns and tools
- Must have a good understanding of various frameworks on authentication and authorization, billing and metrics
- Some experience in data analytics and reporting - creating reports based on the data collected and deliver to the frontend
- Expertise with Frameworks

1. Django, or similar backend frameworks
2. PostgreSQL, MySQL, any NoSQL or other database technology

Perks -

- Opportunity to build a SAAS product from the ground up. Lots of challenges to tackle on
- Work remotely from anywhere within India
- Emphasis on work-life balance and professional development
- Flexible work hours and a lot of autonomy
- Work with a very informal team collaborating over slack. No meaningless meetings. Focus on getting things done and not hours put in
- Opportunity to grow the team with the company
- Market salary and a yearly bonus outside the salary based on company + individual performance
- Generous PTO plan

Job Summary:

– We are looking for a kick ass software engineer with exceptional skills in data structures, algorithms, core java, and distributed systems. If you think you have it in you to deliver on aggressive timelines, have the hunger for growth, don’t like giving excuses, contribute to product features, be hands-on and deliver a world-class product, then we want to hear from you.

This is a predominantly back-end engineering role.

– You are a rockstar engineer with proven capabilities working on SaaS product and a passion for writing exception code.

– You are hungry for an opportunity to join a start-up and become a member of core platform team driving the company forward.

– You will be responsible for the delivery of product features as a part of the platform engineering team.

– You will be hands-on working on key features of the product.

– You will be responsible for design of back-end architectural changes and product features.

– You will have plenty of opportunity to learn and implement ideas to build products in efficient and cohesive manner.

– Understand the product mission, goals, and tasks and execute with the team to achieve them.

– Understand the design and architecture and build modules in accordance with it or recommend and make the necessary changes that adds more stability to our product.

Eligibility:

– 4+ years of experience with hands-on experience in Core Java/Kotlin

– 2+ years of experience as a technical architect with responsibility for core features 

– 4+ years of working experience in cloud-based systems

– 2+ years of experience working on distributed systems

– 2+ years of experience working on Kafka and Zookeeper

– Experience working on RxJava/ Reactive Programming

– Adept on design patterns and distributed systems

– Excellent verbal and written communication

– Proficient in building REST APIs to interact with relational and non-relational data sources

– Proficient in SQL and RDBMS

– Hands on experience in code and system optimization

– Experience in working with NoSQL databases is a plus