Hiring - Python, react

About AGI Ready

We're an AI-native development studio. We don't build "websites" — we build agents, automations, and custom products for clients who need real software shipped fast. Our stack is modern (Next.js, TypeScript, Claude Code), our pace is high, and our philosophy is simple: 60% with AI beats 0% without.

We're a small team scaling deliberately. This is an early hire, which means real ownership, real impact, and a front-row seat to building the agency from the inside.

The Role

You'll be a core builder. That means owning features end-to-end — from understanding what the client needs, to architecting it, to shipping production code, to fixing it when it breaks. You won't be handed perfect tickets. You'll be handed problems, and you'll be trusted to solve them.

You'll work primarily with AI coding tools (Claude Code, Codex) as your daily drivers. We're looking for someone who has moved past "AI writes my code for me" and into vibe engineering — using AI as a thought partner and force multiplier while still owning architecture, judgment, and quality.

What You'll Do

• Build and ship full-stack features using Next.js, TypeScript, and Node.js
• Architect and integrate APIs (third-party services, AI APIs, webhooks, async workflows)
• Use Claude Code and Codex to move fast without sacrificing quality
• Debug, deploy, and own production — not just write code and walk away
• Break complex problems into smaller, manageable pieces and ship iteratively
• Work directly with the founder and a tight team on multiple client products

What We're Looking For

Must-haves

• 1+ year of hands-on experience at a real product startup (shipping, not just learning)
• Strong with Next.js, TypeScript, and Node.js
• Comfortable using Claude Code and Codex as primary development tools
• Real vibe engineering experience — you direct AI, you don't just copy-paste from it
• Solid grasp of API integrations, webhooks, and async processing
• Can debug AI-generated codebases and take them to production

Preferred

• 3–5 years of product/startup experience
• Experience with managed services (Supabase, Clerk, etc.) over building everything from scratch
• Exposure to building agents or AI workflows (MCP, OpenAI APIs, agentic frameworks)

Who Thrives Here

We hire for trajectory, not credentials. The people who do well at AGI Ready tend to be:

• Frugal — you hack solutions together with what's available instead of waiting for perfect conditions
• Transformation-driven — show us your last two years, not your degree. We care where you've come from and how fast you climb
• Self-driven builders — you've taught yourself skills nobody handed you, and you ship things because you can't help it
• Assembly-minded — your first instinct is "who's already solved this?" not "let me build it from scratch"
• In it for the long run — we're looking for people to grow with, not churn through

How to Apply

Send us:

1. Your GitHub or portfolio
2. One thing you built that nobody asked you to build
3. A short note on a hard technical problem you solved — and how you used AI to solve it

About Marseer AI

Marseer AI (www.marseerai.com) is a Seattle-based company building an AI-powered marketing intelligence platform for DTC and retail e-commerce brands. The platform combines brand strategy, customer data, automation, and generative AI to help marketing teams drive consistent, data-driven engagement across email, SMS, paid media, SEO, and affiliate channels.

Role Overview

We are looking for an experienced AI Engineer - Full Stack Developer to join the Marseer platform team. This is a dual-track role: you will build and maintain AI agent pipelines, LLM integrations, and RAG-based intelligence systems on the backend, while also owning frontend interfaces that surface insights, recommendations, and campaign outputs to marketing teams and brand operators.

You should be equally comfortable designing multi-step agentic workflows in Python and building clean, responsive product interfaces in React/Next.js. You understand how LLMs behave in production, know how to engineer prompts and tool chains for reliability, and care deeply about the end-to-end user experience.

What You Will Do

- Design and implement multi-step AI agent workflows using LLM orchestration frameworks such as LangChain, LangGraph, CrewAI, or similar.

- Build and maintain RAG pipelines, including chunking strategies, embedding generation, vector store management, and retrieval tuning.

- Integrate with LLM providers such as OpenAI, Anthropic, or others, including prompt engineering, tool/function calling, structured output generation, and context window management.

- Develop AI-driven features such as campaign brief generation, audience recommendations, content variant creation, and performance insight summarization.

- Implement evaluation and observability frameworks to monitor LLM output quality, latency, and cost in production.

- Build frontend interfaces using React and Next.js, including dashboards, agent interaction UIs, campaign builders, and insight surfaces.

- Design and implement RESTful and/or GraphQL APIs in Python (FastAPI or Flask) or Node.js to serve AI outputs to the frontend.

- Integrate frontend with backend AI services, streaming LLM responses, and real-time status updates.

- Work with structured and unstructured marketing data, campaign performance metrics, audience segments, content libraries, and brand strategy documents.

- Integrate with marketing platforms and data sources such as Klaviyo, Google Ads, Meta, and Shopify.

Requirements

- 5-10 years of professional software engineering experience, with meaningful time in both backend and frontend development.

- Proven experience building and deploying LLM-powered applications in production, not just prototypes.

- Strong proficiency in Python for backend and AI development.

- Strong proficiency in React and Next.js for frontend development.

- Hands-on experience with LLM orchestration frameworks such as LangChain, LangGraph, CrewAI, or equivalent.

- Experience building RAG pipelines, vector stores such as Pinecone, Weaviate, pgvector, or similar, embedding models, and retrieval strategies.

- Experience with API design, REST or GraphQL, and backend service architecture.

Strongly Preferred

- Experience designing and building multi-agent or agentic AI systems with tool use, memory, and planning capabilities.

- Familiarity with prompt engineering best practices, structured output generation, and LLM evaluation methodologies.

- Experience with streaming LLM responses and real-time UI updates using SSE or WebSockets.

- Prior work in a SaaS product company shipping production features.

- Familiarity with marketing platforms, e-commerce data, or martech ecosystems.

Good to Have

- TypeScript and modern frontend tooling such as Tailwind CSS or shadcn/ui.

- Familiarity with Snowflake or other cloud data warehouses as data sources for AI pipelines.

- Experience with observability tools for LLM applications such as LangSmith, Helicone, Arize, or similar.

- Understanding of marketing concepts such as segmentation, campaign lifecycle, attribution, and content personalization.

What We Are Looking For

- Availability to work US business hours; overlap with US Eastern or Pacific timezone is required for client collaboration and team standups.

- Strong written and verbal English communication.

- Product sense and ownership mindset.

- Comfort with ambiguity in non-deterministic LLM-powered systems.

- Collaborative working style across engineering, design, and client-facing functions.

What We Offer

- Competitive compensation based on experience.

- Fully remote role; work from anywhere in India, with Hyderabad-based candidates preferred.

- High-impact work at the frontier of applied AI for marketing and e-commerce.

- Direct exposure to real brand problems, real data, and real production AI systems.

- A small, senior team where your architecture decisions matter and your contributions are visible.

Responsibilities

• Develop and maintain robust APIs to support various applications and services.
• Design and implement scalable solutions using AWS cloud services.
• Utilize Python frameworks such as Flask and Django to build efficient and high-performance applications.
• Collaborate with cross-functional teams to gather and analyze requirements for new features and enhancements.
• Ensure the security and integrity of applications by implementing best practices and security measures.
• Optimize application performance and troubleshoot issues to ensure smooth operation.
• Provide technical guidance and mentorship to junior team members.
• Conduct code reviews to ensure adherence to coding standards and best practices.
• Participate in agile development processes including sprint planning daily stand-ups and retrospectives.
• Develop and maintain documentation for code processes and procedures.
• Stay updated with the latest industry trends and technologies to continuously improve skills and knowledge.
• Contribute to the overall success of the company by delivering high-quality software solutions that meet business needs.
• Foster a collaborative and inclusive work environment that promotes innovation and continuous improvement.

Qualifications

• Possess strong expertise in developing and maintaining APIs.
• Demonstrate proficiency in AWS cloud services and their application in scalable solutions.
• Have extensive experience with Python frameworks such as Flask and Django.
• Exhibit strong analytical and problem-solving skills to address complex technical challenges.
• Show ability to collaborate effectively with cross-functional teams and stakeholders.
• Display excellent communication skills to convey technical concepts clearly.
• Have a background in the Consumer Lending domain is a plus.
• Demonstrate commitment to continuous learning and staying updated with industry trends.
• Possess a strong understanding of agile development methodologies.
• Show experience in mentoring and guiding junior team members.
• Exhibit attention to detail and a commitment to delivering high-quality software solutions.
• Demonstrate ability to work effectively in a hybrid work model.
• Show a proactive approach to identifying and addressing potential issues before they become problems.

Looking for a 5+ years experienced Senior Full-stack Engineer (Backend Heavy) for a research-focused, product-based, US-based Startup.

AI Assistant for Research using state-of-the-art language models (AI Agent for Academic Research)

At SciSpace, we're using language models to automate and streamline research workflows from start to finish. And the best part? We're 

already making waves in the industry, with a whopping 5 million users 

on board as of November 2025! Our users love us too, with a 40% 

MOM retention rate and 10% of them using our app more than once 

a week! We're growing by more than 50% every month, all thanks to 

our awesome users spreading the word (see it yourself on Twitter). Andwith almost weekly feature launches since our inception, we're 

constantly pushing the boundaries of what's possible. Our team of 

experts in design, frontend, fullstack engineering, and machine learning

are already in place, but we're always on the lookout for new talent to help us take things to the next level. Our user base is super engaged and always eager to provide feedback, making Scispace one of the most advanced applications of language models out there.

We are looking for insatiably curious, always learning SDE 2 Fullstack Engineers. You could get a chance to work on the most important and challenging problems at scale.

Responsibilities:

* Work in managing products as part of SciSpace product suite.

* Partner with product owners in designing software that becomes part of researchers’ lives

* Model real-world scenarios into code that can build the SciSpace platform

* Test code that you write and continuously improve practices at SciSpace

* Arrive at technology decisions after extensive debates with other engineers

* Manage large projects from conceptualisation, all the way through deployments

* Evolve an ecosystem of tools and libraries that make it possible for SciSpace to provide reliable, always-on, performant services to our users

* Partner with other engineers in developing an architecture that is resilient to changes in product requirements and usage

* Work on the user-interface side and deliver a snappy, enjoyable experience to your users

Our Ideal Candidate would:

* Strong grasp of one high-level language like Python, JavaScript, etc.

* Strong grasp of front-end HTML/CSS, non-trivial browser-side JavaScript

* General awareness of SQL and database design concepts

* Solid understanding of testing fundamentals

* Strong communication skills

* Should have prior experience in managing and executing technology products.

Bonus:

* Prior experience working with high-volume, always-available web applications

* Experience in ElasticSearch.

* Experience in distributed systems.

* Experience working with a Start-up is a plus point.

We are seeking a skilled and motivated Python Full Stack Developer to join us. The ideal candidate will have experience with Python, JavaScript and its related technologies, as well as a passion for developing efficient and scalable software solutions.

Responsibilities:

• Design and develop high-quality, scalable applications using Python, Django, DRF, FastAPI and JavaScript frameworks such as React or Vue.js
• Analyze business requirements and develop software solutions to meet those needs
• Write clean, maintainable, and efficient code
• Test software solutions to ensure they meet performance, scalability, and reliability requirements
• Debug and troubleshoot issues in the software
• Stay up-to-date with emerging trends and technologies in Python development

Qualifications:

• Bachelor's or Master's degree in Computer Science or related field
• At least 2 years of experience in developing applications using Python, Django, DRF or FastAPI.
• At least 2 years of experience in using front-end JavaScript frameworks such as Jquery, React or Vue.js
• Experience with database technologies such as PostgreSQL and MongoDB
• Experience with AWS or other cloud platforms
• Ability to write clean and maintainable code
• Strong analytical and problem-solving skills
• Excellent written and verbal communication skills

Nice to have:

• Knowledge of Trading in stocks, forex, futures etc.
• Knowledge of automated trading
• Experience with Different Trading Platforms

We offer:

• Competitive salary
• Flexible working hours

Job Types: Full-time, Regular / Permanent

Salary: ₹400,000.00 - ₹10,000.00 per year

Benefits:

• Flexible schedule

Schedule:

• Day shift
• Monday to Friday

Supplemental pay types:

• Overtime pay
• Yearly bonus
• Performance-based bonus

Ability to commute/relocate:

• Mondeal heights, SG Highway, Ahmedabad - 380015, Gujarat: Reliably commute or planning to relocate before starting work (Required)

Education:

• Bachelor's (Preferred)

Experience:

• Python: 1-3 years (Required)
• JavaScript: 1-3 years (Required)

Expected Skills :-

• Knowledge/Application of data structures and algorithms.-
• Problem-solving attitude : This means when you face a problem (not necessarily technical), your natural reaction is "How can I solve it best" rather than "How can I get out of it/avoid it/overlook it"-
• Working knowledge in Java(SpringFramework) is a must.
• Working knowledge in ReactJs is a plus.- Working knowledge in Python, MongoDB is a plus.
• The founding team has extensive experience in launching and scaling up fintech products & New business verticals. The founders have rich leadership experience across Consulting, fintech and payment companies

CTC - 12 to 14 LPA

Experience - 3+ Years

Skills:

• Mandatory experience on Angular 2+
• Hands-on experience on MEAN stack
• Proficient with OOPS and design patterns
• Frontend using Angular 2+/ReactJS/VueJS
• Backend using NodeJS (ExpressJS/SailsJS)/Python/Java
• Good understanding of NoSQL & SQL databases
• HTML, CSS(Knowledge of web semantics, CSS Pre-processors preferable)
• Should be able to translate design to HTML, CSS Git

Good to have:

Mobile app experience using react-native, flutter, etc

AWS/Azure/GCP

Experience:

3+ years

At least one application in production