Webmethod developer

Location: Remote

Experience: 1–3 Years

Job Type: Full-Time

We are looking for a Content Strategist & Social Media Coordinator to plan content strategies, manage social media calendars, and ensure timely publishing across platforms.

Key Responsibilities

• Develop monthly content strategies and social media calendars.
• Plan content pillars, campaigns, trends, and promotional content.
• Coordinate with content writers, graphic designers, and video editors.
• Schedule and publish posts, reels, stories, and Google Business Profile content.
• Ensure content is accurate, on-brand, and published on time.
• Monitor social media trends and content performance.
• Manage multiple brands and deadlines efficiently.

Requirements

• 1–3 years of experience in content strategy or social media management.
• Strong understanding of social media platforms and content planning.
• Good communication and organizational skills.
• Ability to manage multiple brands and projects.
• Experience with social media scheduling tools is a plus.
• Experience with F&B or agency clients is preferred.

🚀 Hiring: Python Developer

⭐ Experience: 2+ Years

📍 Location: Mumbai (Andheri East )

⭐ Work Mode:- 5 Days Work From Office

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

Looking for a skilled Python Developer with experience in Django / FastAPI and MongoDB / PostgreSQL.

⭐ Must-Have Skills:-

✅ 2+ years of professional experience as a Python Developer

✅Proficient in Django or FastAPI

✅Hands-on with MongoDB or PostgreSQL

✅Strong understanding of REST APIs & Git

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.

Roles & Responsibilities: 

● Optimize blog content for targeted keywords, internal linking, and schema. 

● Manage Quora, Reddit, and Web 2.0 content distribution to drive referral traffic. 

● Build backlinks through ethical outreach, guest posting, and partnerships. 

● Conduct keyword research to support content planning and campaign SEO. 

● Track and report on rankings, backlinks, domain authority, and traffic impact. 

● Collaborate with content and design teams to implement best SEO practices. 

Must have skills: 

● 3-5 years of experience in SEO for B2B websites. 

● Must have: Pragmatic SEO & programmatic SEO experience. 

● Hands-on experience with Ahrefs, SEMrush, Google Search Console, etc. 

● Familiarity with link-building strategies, outreach, and community engagement. 

● Good writing/editing sense to tweak content for optimization. 

● Self-starter with a proactive mindset and the ability to work in a fast-paced, high-growth environment. 

Good to have skills: 

● Experience in IT services or SaaS domain. 

● Experience with Quora/Reddit or guest post partnerships. 

Data Engineer - Python

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

• Use Python web frameworks such as Dash or Streamlit to make latency data accessible to end users.
• Leverage OpenAI API to analyse and generate insights by using latency data and provide visualization interface to end users.
• Improve the Latency Data API to provide seamless access to latency data for end users, including researchers, support, and other teams within QRT.
• Optimize and fine-tune Large Language Models (LLMs) for use cases in natural language understanding, data processing, and predictive modelling. 

Your present skillset

• 4+ years' experience in a related field
• Advanced Python and OpenAI API proficiency.
• Good with LLM Concepts.
• Experience with large data sets, visualizations, and reports.
• High standards in code quality and development practices.
• Proficiency in managing structured/unstructured data.
• Expertise in scalable data systems.
• Strong AI/ML skills for pattern and anomaly detection.
• Experience with CI/CD processes and DevOps.
• Experience in the financial/trading sector.
• Familiarity with latency-sensitive systems and performance optimization

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Job Title: Business Development Executive

Department: Marketing

Location: Mohali, Punjab

Reports to: Director

Sampana Digital (SDPL) is a digital technology company that provides end-to-end product engineering and digital transformation services with expertise in e-commerce solutions, web and mobile applications. We believe in small teams of smart, committed, and diverse individuals coming together and form a breakthrough insight. We are a team of passionate professionals to craft an unbeatable culture and services.

Come and join us!   

For our Mohali office, we are seeking a candidate who will look after our sales activities and initiatives. Lead Generation will run campaigns to generate leads and spread brand awareness. The right candidate will have excellent communication skills.

• Have to work on Online Bidding on portals like Upwork
• Generating leads via Interacting with clients for projects allotment and make a clear understanding of their requirements
• Preparing Proposal / Documentation of Project.
• Pre and Post-sales- Coordinating with the development team for the timely completion of the projects.
• Convert Leads to our projects/business.
• Preparing Proposal / Documentation of Project.
• Interacting with new or existing clients for project allotment and make a clear understanding of their requirement

Skills

• Good knowledge on Upwork & generating business.
• Excellent leadership and communication skills.
• Knowledge of productivity tools and software.
• High attention to detail and a focus on fact-based decision making.
• Goal achiever to their targets on time.