SDE

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:

 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 Title: Data Engineer

Location: Pune, India

Experience: 5 to 9 years

Job Description:

We are seeking a talented and experienced Data Engineer to join our team in Pune. The ideal candidate will have a strong background in data engineering with expertise in Python, AWS, Spark, and Scala. This role is critical to our data infrastructure, ensuring that our data pipelines are robust, efficient, and scalable.

Required Skills:

• Python: Advanced proficiency with extensive experience in building data pipelines.
• AWS: Hands-on experience with AWS services such as S3, Lambda, Redshift, Glue, and EMR.
• Spark: Proficient in using Apache Spark for large-scale data processing.
• Scala: Working knowledge of Scala for Spark programming.
• Strong understanding of data warehousing concepts and ETL processes.
• Experience with SQL and relational databases.
• Familiarity with data governance and security best practices.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Preferred Qualifications

• Bachelor's degree in Engineering with specialization in Computer science or related field
• 4-10 years of experience as a software engineer in a product development setting
• Deep experience in Python with demonstrated ability to build modern products
• Experience in designing APIs and integration patterns, implementing secure and sustainable products with a focus on quality and scalability
• Experience in FastAPI, Django, or equivalent
• Experience in data modeling and efficient usage of PostgreSQL, MySQL, MongoDB, or equivalent
• Experience with modern components like async python, pedantic, sqlalchemy, alembic, celery, google products API integration, etc. is a plus
• Understanding of CI/CD practices including code check-in policies, automated unit tests, automated code deployments, etc.
• Experience in other programming languages is a plus, especially Javascript and/or Typescript
• Experience building feature-rich and scalable web apps is a plus
• Ability to grasp new technologies and use them effectively to create industrial-strength software

Backend/Fullstack Developer

About the Company:

Company is India’s largest and best-established digital wealth management service that helps its customers create wealth for their long-and-short-term goals. Founded in 2012, Company is a pioneer in the digital financial services category and is recognised for creating simple and elegant user experiences in a complex domain. We do this by simplifying complex investing concepts and automating best practices, so our customers can grow their wealth without worry. We achieve this by combining cutting-edge technology, data-driven algorithms, awesome UX and friendly customer support. Our task is ambitious and we like to work hard as well as smart. We want to build a team that relishes challenges and contributes to a new way of thinking and investing in India. We are also invested in the growth of our colleagues and providing a supportive and thriving working environment for everyone. We have been recognised by Great Place To Work® as one of India’s best companies to work for.

Role specific info:

• 4-12 years of experience building good quality production software
• Excellent knowledge of at least one ecosystem based on Elixir/Phoenix, Ruby/Rails, Python/Django, Go/Scala/Clojure
• Good OO skills, including strong design patterns knowledge
• Familiar with datastores like MySQL, PostgreSQL, Redis, Redshift etc.
• Familiarity with react.js/react-native, vue.js etc. • Knowledge of deploying software to AWS, GCP, Azure
• Knowledge of software best practices, like Test-Driven Development (TDD) and Continuous Integration (CI)

What would you do here:

• Writing quality code using language best practices.
• Working in a highly collaborative team.
• Building good software using the latest tools and techniques.
• Participating in design reviews, coding modules, code reviews and unit testing.
• Taking ownership of quality and usability of your code.
• Mentoring co-workers.
• Leading efforts in improving technology architecture.

• Collaborating with the front-end developers and other team members to establish objectives and design more functional, cohesive codes to enhance the user experience.
• Own code for the products with responsibilities including but not limited to designing, developing, testing, maintenance of products.
• Building RESTful services and do DevOps.
• Talking to customers and business teams to suggest improvement areas in product flows.
• Create peer learnings for team members and build context for new teammates
• Help with building the company's tech team and iterating on the hiring framework.
• Provide regular feedback to your team (peers and managers) to ensure continuous improvement.
• Keeping abreast with the latest technologies and working on your skills regularly.

Skills & Requirements

• Good knowledge and experience of working with backend systems; designing server-side architecture, including production maintenance experience are must-haves.
• At least 1-8 years of experience in any programming languages like Java, Ruby, PHP, Python, and Node.js(Node.js preferred).
• Understanding of micro-services-oriented architecture.
• Experience with Databases design (SQL, NoSQL) and analytics
• Experience in driving and delivering complex features/software modules from technical design to launch.
• Expertise with unit testing & Test Driven Development (TDD)
• Have empathy for the users you build for

Good to have

• Experience in the fintech industry
• Experience leading design and implementation of robust and secure web services

What if, you had a chance to build something iconic?

As a Senior Software Engineer you have complete ownership of building out the Docexa product along with product people and the rest of the engineering team. This role will act as a great springboard to accelerate career growth & transition into a Tech Lead level role.

Your daily life

• Architecting of the whole platform
• Development of server-side logic
• Building new services and APIs
• Developing core business logic
• Maintenance of current APIs
• Improving the performance and reliability of our systems as we scale

Must-have skills

• You’ve been building web applications professionally for 4+ years
• You’re proficient in PHP 7, Laravel, and PostgreSQL
• You possess strong OOP and design pattern knowledge
• You are familiar with modern technology systems: AWS, load balancers, Kafka queues, caching, etc.
• You write understandable, testable and easy to maintain code
• You’ve the ability to build RESTful APIs
• Explaining complex technical concepts to designers, support team, and fellow engineers is not a problem for you
• Well versed with the fundamentals of computer science and distributed systems

What we are looking for

• At-least 3 years of experience of development on backend applications. Full stack experience is a cherry on the top!
• Experience / knowledge of designing robust systems, maintaining & scaling them
• Experience with usage of NoSQL databases like MongoDB & with SQL and RDBMS Systems
• Experience of creating applications with any of the popular frameworks in Python, Java, GoLang, Node
• Experience with JS frontend frameworks like React, Angular, Vue etc is a big plus
• Well versed with versioning systems like git
• Understanding of rest API implementation

Some of the responsibilties you will be taking up are following

• Working on creating performant and fault tolerant systems which are scalable
• Design, build, and maintain high performance, reusable, and reliable codebase
• Effectively work with product to gather requirements, gain deep understanding of use cases and business needs, and translate into design and implementation.
• Maintain code integrity and organization.
• Manage basic devops related to CI/CD
• Creating secure systems
• Lead other junior developers
• Define optimal and minimal architecture to achieve product requirements