
Programming Languages: Perl, java. Perl programming with strong OOPs knowledge.
UI: HTML, JS
System: Linux must have – good knowledge and shell scripting experience.
Prior experience in infrastructure automation, monitoring will definitely help.
Description:
The person in this role:
- Will be involved in developing new monitoring scripts, enhancement & defect fixes on existing monitors
- Have to be on-call to support any incoming production/P1 internal issues which need urgent attention (team members are on call for a week and we have a weekly rotation policy within the team)
Preferred skills:
- Perl
- Shell scripting
- Unix
- Jenkins

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Experience: 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.
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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
---
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.
Qualifications:
- 3+ years of professional software development experience, with a strong focus on backend development.
- Proficiency in one or more programming languages such as Java, Python or Golang
- Strong understanding of database systems, relational (e.g., MySQL, PostgreSQL), NoSQL (e.g., MongoDB, Cassandra), and columnar (SingleStore, Redshift, BigQuery, Snowflake)
- Hands-on experience with message brokers such as Kafka, RabbitMQ, or Amazon SQS.
- Experience with cloud platforms (AWS or Azure or Google Cloud) and containerization technologies (Docker, Kubernetes).
- Proven track record of designing and implementing scalable, high-performance systems.
- Excellent problem-solving skills and the ability to think critically and creatively.
- Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, team-oriented environment.
About Superclaims
Superclaims modernizes health insurance claims adjudication with intelligent automation. We help insurers and TPAs replace manual, document-heavy workflows with faster, more accurate decisions at scale.
Role: Python Backend Developer
We are looking for a Python Backend Developer who is excited to build AI-powered automation products in a fast-paced startup environment.
What you'll do
- Build and maintain scalable backend systems and APIs
- Develop intelligent data extraction pipelines using AI/ML
- Design and implement agentic workflows with LangGraph
- Design efficient database schemas and optimize queries in PostgreSQL
- Integrate and work with LLMs (OpenAI, Gemini, or similar)
- Collaborate with product, frontend, and data teams to deliver end-to-end features
- Write clean, tested, and well-documented code
Must-have skills
- Strong proficiency in Python and a modern web framework (FastAPI or similar)
- Experience with PostgreSQL and an ORM (SQLAlchemy preferred)
- Solid understanding of RESTful API design and best practices
- Hands-on experience or strong familiarity with LangGraph
- Experience working with LLMs (OpenAI, Gemini, or similar providers)
- Comfort with Git/version control and collaborative development workflows
Nice-to-have skills
- Experience with Docker and containerized deployments
- Knowledge of Redis for caching or background tasks
- Exposure to cloud platforms (GCP, AWS, or Azure)
- Experience with vector databases and retrieval-augmented generation
- Basic prompt engineering skills
- Experience with object storage (S3/MinIO)
What we're looking for
- 1+ years of Python backend development experience (open to exceptional freshers)
- Fast learner with genuine curiosity about AI/ML and automation
- Prior startup experience preferred
- Ownership mindset, bias for action, and comfort with ambiguity
- Ready to relocate to Hyderabad (work location)
How to apply
Please share:
- Your resume
- GitHub/Portfolio link
- A brief note on why you're interested in AI-powered automation and Superclaims
As a Python Engineer, you will play a critical role in building and scaling data pipelines, developing prompts for large language models (LLMs), and deploying them as efficient, scalable APIs. You will collaborate closely with data scientists, product managers, and other engineers to ensure seamless integration of data solutions and LLM functionalities. This role requires expertise in Python, API design, data engineering tools, and a strong understanding of LLMs and their applications.
What We’re Looking For:
- Strong experience in Python (5+ years).
- Hands-on experience with any database (SQL or NoSQL).
- Experience with frameworks like Flask, FastAPI, or Django.
- Knowledge of ORMs, API development, and unit testing.
- Familiarity with Git and Agile methodologies.
- Familiarity with the Kafka tool (Added Advantage)
We are seeking a skilled Node.js + Python Developer to join our team. The successful candidate will be responsible for developing and maintaining web applications using Node.js and Python. The ideal candidate will have a strong understanding of both Node.js and Python, as well as web application development. Responsibilities:
Developing and maintaining web applications using Node.js and Python
Write clean and efficient code that adheres to Node.js and Python coding standards
Collaborate with other developers and team members to design and implement new features
Troubleshoot and debug issues in existing code
Create and maintain technical documentation
Requirements:
Strong knowledge of Node.js and Python
Familiarity with front-end technologies such as HTML, CSS, and JavaScript
Experience with MySQL/Mongo and database design
Good understanding of object-oriented programming and design patterns
Strong problem-solving skills and attention to detail
Good communication skills and ability to work in a team environment
Preferred Qualifications:
Experience with popular Node.js frameworks such as Express or Koa
Experience with OpenAi APIs
Knowledge of machine learning and data science libraries in Python such as TensorFlow, Scikit-learn, and Pandas
Experience with RESTful API development
Experience with payment gateway integrations
- Solid experience in RoR, Golang, NodeJS or Python. Good to have exposure to ML.
- Should have experience in cloud computing
- Has an ability to quickly learn and contribute in multiple codebase
- Overcomes roadblocks and requires minimal oversight
- Takes initiatives to fix issues/tech debts before assigned to him/her
- Able to deep dive into codebase and advise QA of possible regression impact
- Communicates tech decisions through design docs and tech talks
- Has delivered projects with end-to-end accountability
- Keeps track of industry trends and introduces right tech/tools for a given job
- Excellent understanding of software engineering practices, Design Patterns, Data Structures, Algorithms
We are looking for a high-performing Lead Developer to build our Ecommerce platform and API framework powered by Machine Learning and Artificial Intelligence. Candidates for this role will be passionate about well written code, testing, and excel at coming up with simple approaches to complex problems.
Our work culture is #overachiever, very amiable, and at the same time always charged with excitement. We encourage our team members to take responsibility and grow into future leaders in the industry.
Job Responsibilities:
- Understand project requirements, writing bug free clean code and ensure that the solution works per the agreed architecture, SLAs, KPIs and business model
- Integrate Django backend with third party API
- 100% Hands on role
- Make architecture decisions that contribute to maintainable systems
- Adapt to rapidly evolving requirements and changing priorities and drive the team accordingly
- Responsible to drive and support Ecommerce project activities and ensure marketplace implementation, deepen customer engagement, satisfaction, and user engagement
- Reverse engineer for debugging errors in code and ensure quality control in the process.
- Continually drive products towards a meaningful balance between user needs, business objectives and technical feasibility
- Documentation and reference preparation for users by writing operating instructions including changes and revisions.
- Operate in a hyper-collaborative way and follow these guiding principles: Value common sense and simplicity over complexity, make decisions quickly and move nimbly, celebrate diverse ideas, Succeed and fail together as a team
Qualifications:
- Bachelor or Master Degree in Computer Science, Software Engineering from a reputed University
- 5 to 10 years of experience working in eCommerce domain, specifically at-least 3-5 years of experience working in Django and Python.
- React and/or Angular for front end
- Proficiency in MongoDB and MySql
- Technical Skills: JIRA, Gitlab, Rest API, GCP or AWS
- Integration experience with Payment gateway, shipping company and VAT, database concepts, Experience of web services
- Experience in performance profiling, tuning, and optimization, caching mechanisms with Enterprise level applicants
- Analytical, debugging, and troubleshooting skill with proven experience troubleshooting and fixing production bugs
- Experience in writing unit testing and test case automation.
- Ability to operate in Agile environment with a start-up mentality and unstructured environment, Energy, drive and passion to work, and operate in a digital world.
What do Microsoft, The Gap, Royal Bank of Scotland, Lockheed Martin, and top Open Source projects like JQuery have in common? They all use BrowserStack, as do over 25,000 other customers!
BrowserStack is the industry-leading, cloud web and mobile testing platform that enables developers to test their websites and apps on different operating systems and mobile devices. Since launching in 2011, our mission has been bold yet simple: To be the testing infrastructure for the internet. 6 years and billions of tests later, we are ready for our next phase of hyper growth. Bootstrapped for the first 6 years, we continue to be profitable since inception with a near exponential https://workable.com/nr?l=https%3A%2F%2Fwww.browserstack.com%2Fgrowth">growth in customers around the globe. Recently, we closed $50M in Series A funding from Accel
Are you are the one who wants to work on a tech-heavy product, and the challenging technical problems that it entails? Problems vary, and can be as diverse as scaling the product smoothly as the company grows, to setting up a device farm, or solving streaming issues through a browser, without the use of plugins. Will you be excited for the challenge to transform and think critically on many computer science disciplines including product design, usability, building APIs and user-centric online applications, business logic, scaling performance, and 24x7 reliability?
JOB RESPONSIBILITIES
- Writing high quality code, participating in code reviews, designing/architecting systems of varying complexity and scope, and creating high quality documentation supporting the design/coding tasks
- Lead out team meetings, stand-ups, and architecture/design discussions
- Identify areas of improvement in our frameworks, tools, processes and strive to make them better. Evaluate our success metrics and evolve our reporting systems
- Works on the web application layer, backend, systems, streaming and other associated technology to build our product and components
- Find solutions and solve issues around a variety of operating systems or programming languages
- Researching new technologies and adapt them to BrowserStack requirements
- Own and commit to all your work, and be accountable for your results
- Using and understanding code from Open Source
- Teaching others how to use new software
- Willing to learn new programming languages and databases
- Able to write efficient SQL queries and design schemas for relational databases
- Participate in a culture of code reviews, writing tech specs, and collaborating closely with other people (no lone wolves)
- Produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration
- Develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7
- Scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality
- Good experience in at least one scripting language: Ruby, Nodejs, Python, AppleScript, Unix shell or similar
- Familiarity with one compiled language: C, Java, Go or similar
- Good knowledge of operating systems and networking concepts
- Reasonable knowledge of Windows and/or Linux operating systems
- Ability to work on Windows and Linux platform below the application layer, including file systems, kernels, custom installations, shell scripting, internal APIs, etc
- Aggressive problem diagnosis and creative problem solving skills
- Startup mentality, high willingness to learn, and hardworking
- Experience of 3-6 years











