Creative Designer

Senior Full-Stack Software Engineer (SDE II), Flutter & Django, AM:PM

About AM:PM AM:PM is a pre-seed, venture-backed news platform built for short-form vertical video, for Gen Z and millennials who want to stay informed without sitting through a 40-minute panel. Mobile-first, video-first, small team, moving at startup speed out of Mumbai.

We don't have layers of bureaucracy or rigid corporate structure. We value velocity, high-agency execution, and pragmatic engineering. This is one of the first full-time seats on the core engineering bench, reporting directly to the CTO.

We're looking for a Full-Stack Engineer who's comfortable wearing multiple hats, owning entire feature lifecycles from database schema to UI animation, and operating with real autonomy. If you want your code in production daily and directly tied to whether the product wins, this is the seat.

Role Overview

• Position: Software Development Engineer II (Full-Stack)
• Type: Full-time
• Location: Remote / Hybrid
• Experience: 3 to 5+ years in production-grade software development
• Core stack: Flutter (iOS, Android, Web) | Python, Django, DRF | PostgreSQL | Redis | AWS/GCP | Docker

What you'll do

1. Cross-platform frontend (Flutter)

• Build responsive, pixel-perfect UIs across iOS, Android, and Web from a single Flutter codebase
• Implement clean, maintainable frontend architecture using scalable state management (BLoC, Riverpod, or Provider)
• Optimize performance, memory footprint, render times, and smooth 60fps animations on low-end devices and browsers. On a feed-heavy, video-heavy app this is core product, not polish
• Write platform-specific code (MethodChannels) to interface with native iOS/Android SDKs when needed

2. Backend and API engineering (Python / Django)

• Design, build, and document secure, robust RESTful APIs using Django Rest Framework
• Architect core backend workflows, background workers, and async task queues (Celery/Redis), including the feed, video, and content pipeline
• Write optimized SQL and manage the Django ORM to prevent N+1 queries and keep response times fast
• Implement and maintain security: OAuth2, JWT auth, RBAC, data encryption

3. Architecture, DevOps, infrastructure

• Set up and improve CI/CD pipelines (GitHub Actions, GitLab CI) to ship to production multiple times a day
• Containerize with Docker and manage cloud deployments (AWS ECS/EKS, GCP Cloud Run, or DigitalOcean)
• Implement logging, error tracking, and monitoring (Sentry, Datadog, Prometheus) to catch and resolve production issues proactively

4. Startup execution

• Build, test, and tear down MVP features fast based on user feedback and product analytics
• Review peer code, maintain documentation, and raise engineering standards across a growing team
• Work directly with founders, designers, and editorial to turn ambiguous requirements into concrete technical roadmaps

Who you are

• 3+ years professional experience building, scaling, and maintaining production-grade applications
• Deep Flutter and Dart mastery: cross-platform nuances, web engine optimization (CanvasKit vs HTML), local storage (Hive, Isar, or SQLite)
• Strong Django/Python: middleware, custom managers, signals, async programming
• Advanced PostgreSQL: clean schema design, migrations, indexing, slow query analysis
• Docker, basic Linux administration, and cloud services (AWS S3, EC2, RDS, CloudFront)
• Writes clean, testable code with unit, integration, and widget tests

Cultural fit

• High agency. You find a problem, map a solution, and execute without waiting for permission or perfect specs
• Pragmatic. You know when to write future-proof code and when to ship a safe, hacky solution to beat a deadline
• Clear communicator. Can explain technical trade-offs to non-technical founders
• Comfortable with chaos. Priorities shift fast based on market feedback
• Deep startup experience strongly preferred, ideally as an early engineer at a venture-backed startup. This role rewards builders, not MNC process operators

Bonus

• Early engineer (employees 1 to 15) at a fast-growing, venture-backed startup
• Real-time systems (WebSockets), video infrastructure (streaming, transcoding, CDN caching), or AI/LLM API experience
• Active GitHub, published Flutter packages, or live side projects that show build speed

What we offer

• Market-rate salary plus meaningful early-stage equity
• Complete ownership over major pillars of the stack, no micro-management
• Room to grow into Lead/EM or Staff/Principal as the company scales
• Flexible setup alongside a small, driven team of builders

Role: Full Stack GEN AI Engineer

Location: Remote - Bengaluru

Duration: Fulltime With VDart Digital

The role demands a developer who is not just familiar with Large Language Models (LLMs), but is an expert in building autonomous agentic workflows using the modern GenAI stack (LangChain, CrewAI, Vector DBs). Expertise in system design, cloud-native technologies, and CI/CD for AI-driven applications is essential for this high-impact delivery role.

Responsibilities

· Design, develop, and maintain full-stack applications that are scalable, robust, and meet the company's quality standards, with a specific focus on Generative AI integration.

· Agentic Orchestration: Build and deploy sophisticated multi-agent systems and autonomous workflows using frameworks like LangChain, CrewAI, or LangGraph.

· Collaborate effectively with cross-functional teams to define, design, and ship new features that bridge the gap between raw AI power and intuitive user workflows.

· Exhibit strong problem-solving skills with an emphasis on product development and driving architecture choices that enable a world-class user experience.

· Utilize a variety of modern web technologies and frameworks (React.js, Angular, or Vue.js) to build responsive and accessible user interfaces.

· Develop and maintain RESTful APIs and services with optimal performance and scalability, handling streaming AI responses and complex function-calling logic.

· Ensure code quality, organization, and automatization through best practices, including unit tests for prompts, model evaluation pipelines, and automated CI/CD for AI-driven features.

· Implement and optimize RAG (Retrieval-Augmented Generation) pipelines using Vector Databases and advanced retrieval techniques.

· Adapt to emerging technologies and frameworks, specifically new GenAI tools and frontier models, and apply them to operational and business needs.

· Manage individual project priorities, deadlines, and deliverables with minimal supervision.

Skill Requirements

· Excellent oral and written communication skills, with the ability to articulate complex AI and technical ideas to both technical and non-technical audiences.

· Profound knowledge of application development, data structures, networking, operating systems, and DBMS.

· Strong proficiency in backend programming languages for API development such as Python, Java, JavaScript (Node.js), or Go.

· Expertise in front-end technologies and frameworks such as React.js, Angular, or Vue.js.

· GenAI & Agentic Tools: Deep hands-on experience with LangChain, CrewAI, or AutoGen. Ability to manage agent memory, state, and tool-calling.

· In-depth understanding of SQL/NoSQL databases, data modeling, and experience with Vector Databases for RAG implementations.

· Solid grasp of system design, microservices architecture, and cloud-native technologies including Docker, Kubernetes, and GitHub Actions.

· Experience with distributed computing, machine learning frameworks, and tools, with a primary focus on Generative AI.

· Desirable (Good to Have): Experience with Generative or Adaptive UI development, where the interface dynamically adapts or renders components based on LLM outputs and real-time AI reasoning.

· A strong desire to learn and master new technologies and techniques in the rapidly evolving GenAI landscape.

Qualifications

· Bachelor’s degree in Computer Science, Engineering, or a related field.

· A minimum of 3-5 years of experience in full-stack development, with a proven track record of building and deploying Generative AI applications and agents.

· Portfolio of successfully deployed web applications and services, specifically showcasing AI agents, RAG implementations, or complex AI-driven features.

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.

Required skillset
Experience in backend and frontend tech stack and deployment is mandatory.
Excellent programming skills in Golang/Python/Java, JS/Dart/Swift and HTML/CSS.
Proficient in Web architecture and cloud integration concepts.
Experience with NoSQL database is preferred.
Good to have hands-on experience with GCP/AWS/Azure.
Qualification: Bachelors/Masters Computer Science or related domain.
Knowledge of DevOps tools and CI/CD practices are strong additions

Responsibilities
Help to architect Concepts/MVP with minimal supervision.
Work on the full spectrum of technology stack - backend & frontend.
Explore the feasibility of running video analytics on Edge (App/Browser)
Work with the Analytics team for creating various visualization options

• Gathering business and functional requirements.
• Developing requirements documents: goal model, functional modeling, business process, customer interactions/wireframes; writing high-level user requirements (Epics and User Stories) and Process flows/analysis in JIRA
• Preparing use cases and formal requirements documentation.
• Analyzing and simplifying the requirement scenarios and be able to write prerequisites, Acceptance Criteria. Work closely with the business and technology to gather & write end to end business testing requirements and acceptance criteria.  
• Ensuring that releases are getting completed as per timeline and quality by working closely with the product delivery team and keeping daily track of progress.  
• Coordinate UAT activities prior to new product releases and client onboarding events including tracking of defects and progress of resolution.
• Escalation of issues in a timely manner.
• Ensure adherence to audit, SLA and operational standards.
• Demonstrations of new functionality to business and technology users.  
• Work in tandem with the Documentation team to produce user manual and system documents.
• Work closely with the support team to ensure timely knowledge transfer  
• Providing analysis and support for the project management, application development, and QA teams throughout the development lifecycle.
• Acting as a liaison between the technology department and other business units.
• Working on RFI or RFP proposals. Participating in process studies or pre-sales process of responding to RFI, RFP, and proposals.
• Leading business and technical analysis sessions to support new development efforts to meet current and projected business needs.
• Quickly understanding the business issues and data challenges of clients organization and industry.
• Providing expertise on the system's capabilities/limitations as it relates to business goals.
• Preparing impact and opportunity assessments regarding the cost/benefit of proposed projects.
• Aligning stakeholders on business requirements, system requirements, program functions, and strategy.

• 4 + years of hands-on experience with software applications as a BA
• Proficient with tools like Jira, Confluence, Wiki, Ms-Word, Excel, and Visio, etc. 
• Have a good experience of the Agile Process(SCRUM) 
• Can validate, refine and optimize solution option models, Through analysis of options, can select the option with the greatest business benefit bearing in mind the customer's & product objectives
• Can form a recommendation or recommendations, with justification, to the decision making authority/s, Applies effective influencing strategies to enable Decisions.
• Is able to take fresh views and avoid rigid thought patterns, Is prepared to investigate and challenge the unknown, Applies common sense and doesn't go over the top
• Comprehends end to end business life cycle and stated/unstated needs of the customer in order to provide value  
• Shows a good understanding of the domain and visualize new features and requirements from industry best practice and document them for technical implementation  
• Is clear and concise and writes in a format which is focused on the reader, avoids unnecessary detail, Documents are presented in a professional format with good spelling and grammar, clearly identifying any missing or incomplete content.  
• Demonstrates active listening and values others input/expertise, diversity of views/opinions and responds appropriately.   

What will be your role as Sales Rockstar at Hevo?

We are looking for an experienced Inside Sales professional to join our sales team. This is an opportunity for you to be a key part of building a successful business:

1. Manage End-to-End Sales process (Inbound Leads to Closure) for North American markets
2. Deliver quality and tailored demonstrations to prospects based on the use cases
3. Understand customer goals, plans, challenges, timeline, budget, authority
4. Meet or exceed your defined sales activity and revenue quota
5. Collaborate with cross-functional teams for timely resolution of prospect's queries
6. Strive to continuously improve your sales process and demonstrate a willingness to learn and implement best practices

What are we looking for?

1. 1 to 5 years of experience in End-to-End Sales/Business Development in SaaS/IT Product/IT Services organization in North American markets
2. Prior or current experience in managing end to end sales lifecycle i.e. Inbound Lead to Closure
3. Must have prior experience of managing sales/business development North American market
4. MBA (Sales and Marketing) or B.Tech in Computer Science / Information Technology (Preferred)