Full Stack Developer

Role & Responsibilities

Responsibilities

• Business: Immerse in operations until you think like an insider.

Rapidly acquire domain expertise through direct observation, translate between business and engineering seamlessly, and mentor engineers in your area on immersion. Influence senior stakeholders effectively, manage complex stakeholder landscapes with competing agendas, and build trust rapidly with new stakeholders.

• Delivery: Lead rapid delivery initiatives across teams in your area, coach on prototype-first approaches, and establish trust through consistent fast delivery. Build complete applications rapidly across any technology stack, select the right tools for each problem, and define clear criteria for prototype-to-production transitions.

• Generative AI: Architect RAG systems for complex use cases across teams, implement advanced techniques (hybrid search, reranking, query expansion), mentor engineers on RAG best practices, and establish RAG standards. Lead evaluation strategy across teams, establishing annotation guidelines, training human-calibrated LLM judges, and building evaluation pipelines that connect tracing to datasets to experiments.

• People: Build high-performing teams across your area, navigate complex interpersonal dynamics, foster psychological safety, and create environments where diverse perspectives are valued. Influence through communication at all levels — from frontline to executive. Handle difficult conversations skilfully and train engineers in your area on effective communication.

• AI-Augmented Development: Optimise AI tool usage across teams in your area, train engineers on AI-augmented and agentic engineering workflows, evaluate new AI development tools, and establish practices that balance AI speed with verification rigour.

• Scale: Design complex multi-component systems end-to-end, evaluate architectural options for large initiatives across teams, guide technical decisions for your area, and mentor engineers on architecture. Create debt reduction strategies across teams, influence roadmap decisions to include debt work, and teach engineers when to accept debt for speed versus when to invest in quality.

• Documentation: Define documentation standards across teams in your area, create documentation systems and templates, train engineers on spec-driven development, and ensure documentation quality across projects. Lead pattern generalization initiatives, defining criteria for when to generalize versus keep custom.

• Reliability: Define reliability standards across teams in your area, drive post-incident improvements systematically, design capacity planning processes, andmentor engineers on SRE practices.

Ideal Candidate

• Strong Staff Software Engineer / FDE profile (full-stack + production GenAI, multi-team technical leadership)
• Mandatory (Experience 1) – Must have 7+ years of relevant professional software engineering experience, with demonstrated full-stack delivery across backend and frontend.
• Mandatory (Experience 2) – Must have deep production experience with Python AND JavaScript/TypeScript, working comfortably across the full stack.
• Mandatory (Experience 3) – Must have 2+ years of experience in generative AI applications developement — LLM integrations, vector databases, RAG systems, and evaluation pipelines
• Mandatory (Experience 4) – Must have strong experience with modern frontend frameworks (Next.js / React) and backend API development.
• Mandatory (Experience 5) – Must have extensive experience with cloud platforms (AWS preferred; Azure/GCP valued), including infrastructure-as-code (CloudFormation / Terraform).
• Mandatory (Experience 6) – Must have working knowledge of multiple database paradigms — relational (PostgreSQL), document, and key-value (Redis) — with ability to select the right storage per problem.
• Mandatory (Experience 7) – Must have strong experience with CI/CD pipelines (e.g. GitHub Actions), containerization, and production deployment strategies.
• Mandatory (Experience 8) – Must have demonstrable fluency with AI coding tools (Claude Code, Cursor, GitHub Copilot, or similar) and proven ability to design agentic engineering workflows and train teams on them
• Preferred (Experience) – Advanced RAG techniques — hybrid search, reranking, query expansion — and establishing RAG standards across teams

Job Details

- Job Title: Software Developer (Python, React/Vue)

- Industry: Technology

- Experience Required: 2-4 years

- Working Days: 5 days/week

- Job Location: Remote working

- CTC Range: Best in Industry

Review Criteria

• Strong Full stack/Backend engineer profile
• 2+ years of hands-on experience as a full stack developer (backend-heavy)
• (Backend Skills): Must have 1.5+ strong experience in Python, building REST APIs, and microservices-based architectures
• (Frontend Skills): Must have hands-on experience with modern frontend frameworks (React or Vue) and JavaScript, HTML, and CSS
• (Database Skills): Must have solid experience working with relational and NoSQL databases such as MySQL, MongoDB, and Redis
• (Cloud & Infra): Must have hands-on experience with AWS services including EC2, ELB, AutoScaling, S3, RDS, CloudFront, and SNS
• (DevOps & Infra): Must have working experience with Linux environments, Apache, CI/CD pipelines, and application monitoring
• (CS Fundamentals): Must have strong fundamentals in Data Structures, Algorithms, OS concepts, and system design
• Product companies (B2B SaaS preferred)

Preferred

• Preferred (Location) - Mumbai
• Preferred (Skills): Candidates with strong backend or full-stack experience in other languages/frameworks are welcome if fundamentals are strong
• Preferred (Education): B.Tech from Tier 1, Tier 2 institutes

Role & Responsibilities

This is not just another dev job. You’ll help engineer the backbone of the world’s first AI Agentic manufacturing OS.

You will:

• Build and own features end-to-end — from design → deployment → scale.
• Architect scalable, loosely coupled systems powering AI-native workflows.
• Create robust integrations with 3rd-party systems.
• Push boundaries on reliability, performance, and automation.
• Write clean, tested, secure code → and continuously improve it.
• Collaborate directly with Founders & Snr engineers in a high-trust environment.

Our Tech Arsenal:

• We believe in always using the sharpest tools for the job. On that end we always try to remain tech agnostic and leave it up to discussion on what tools to use to get the problem solved in the most robust and quick way.
• That being said, our bright team of engineers have already constructed a formidable arsenal of tools which helps us fortify our defense and always play on the offensive. Take a look at the Tech Stack we already use.

-Design and maintain efficient database solutions using RDBMS.

-Write complex SQL queries for data extraction and manipulation.

-Implement and optimize AWS services for scalable application deployment.

-Develop server-side logic using PHP and integrate front-end elements with JavaScript.

-Collaborate with teams to design, develop, and deploy web applications.

We are building VYXN.AI — a full AI content generation platform with a web application, Templates, Workflow / Space, dynamic credits/coins pricing, AI provider integrations, Telegram bot and Telegram Mini App.

The final goal is not a small prototype. The product should be built in clear stages:

1. Technical Foundation

2. First usable product release

3. Full commercial launch scope

The first stage should focus on building a stable technical base, not an over-engineered enterprise system.

Core product areas:

- Web AI content generation platform

- Text module with selectable AI text models

- Image / Design generation via external AI APIs

- Video generation via external AI APIs

- Templates section with visual examples, prompts and user photo upload

- Dynamic credits / coins pricing based on provider, model, quality, duration and generation parameters

- Generation history

- User dashboard

- Admin panel

- AI provider integration layer

- Basic working version of Workflow / Space with node-based UI

- Telegram bot

- Telegram Mini App

- Customer support bot

- Multilingual support

Important:

The platform should be built using existing AI APIs and providers, not by training custom AI models at the first stage.

We are looking for a Senior Full-Stack Developer / Tech Lead who can write code, structure the project technically, and help define the right staged development plan.

Responsibilities:

- Review the full project brief and propose a practical implementation plan

- Build or lead the core web application

- Implement frontend and backend logic

- Integrate external AI generation APIs

- Build user dashboard, admin panel, generation history and credits/coins logic

- Set up database, storage, deployment and basic monitoring

- Help structure AI provider integrations and dynamic pricing

- Help define Workflow / Space architecture

- Help define Telegram bot / Mini App integration approach

- Work with UI/UX designer, Telegram developer, workflow/frontend developer or other specialists if needed

Required skills:

- React.js / Next.js

- TypeScript

- Node.js

- PostgreSQL

- API integrations

- SaaS or web platform experience

- Backend architecture understanding

- Ability to work independently and communicate clearly

- Comfortable with fixed milestones and clear acceptance criteria

Nice to have:

- Redis / BullMQ / queues

- AI API integrations

- Image or video generation API experience

- React Flow or node-based workflow UI experience

- AWS / GCP / Cloudflare / S3-compatible storage

- Telegram Bot / Telegram Mini App experience

- Dynamic pricing, wallet, credits or usage-based billing experience

- Admin panels and support tools

Project format:

- Remote

- Contract or full-time possible

- Fixed milestones preferred for the first stages

- Code must be developed in our GitHub repository

- Deployment should be done through project-owned accounts

- Long-term cooperation possible if the first stage goes well

We are not looking for a large agency. We prefer a strong individual developer or a compact team that can move fast, communicate clearly and build a practical commercial product in stages.

You will:

• Write excellent production code and tests and help others improve in code-reviews
• Analyze high-level requirements to design, document, estimate, and build systems
• Coordinate across teams to identify, resolve, mitigate and prevent technical issues
• Coach and mentor engineers within the team to develop their skills and abilities
• Continuously improve the team's practices in code-quality, reliability, performance, testing, automation, logging, monitoring, alerting, and build processes

You have:

For (Fullstack):

• 2 - 10 Years of experience
• Strong with DS & Algorithms
• Hands on Experience in the Programming languages: JavaScript (React or Angular), Python, SQL.
• Experience with AWS.

For (Geo Team):

• 4 - 10 years of experience
• Experience with Big Data technologies like Hadoop, Spark, Map Reduce, Kafka, etc
• Experience using object-oriented languages (Java, Python)
• Experience in working with different AWS technologies.
• Experience in software design, architecture and development.
• Excellent competencies in data structures & algorithms.

For (Backend):

• 2 - 10 years of experience
• Hands on product development experience using Java/ C++/Python
• Experience with AWS,SQL,GIT
• Strong with Data structures and Algorithms

Additional nice to have skills/certifications:

For Java skill set:

Mockito, Grizzly, Netty, VertX, Jersey / JAX-RS, Swagger / Open API, Nginx, Protocol Buffers, Thrift, Aerospike, Redis, Kinesis, Sed, Awk, Perl

For Python skill set: Data Engineering experience, Athena, Lambda, EMR, Spark, Glue, Step Functions, Hadoop, Kinesis, Orc, Parquet, Perl, Awk, Redshift

For (Data Engineering):

• 2 - 10 years of experience
• Experience with object-oriented/object function scripting languages: Python.
• Experience with AWS cloud services: EC2, RDS, Redshift,S3,Athena, Glue
• Must be proficient in GIT, Jenkins, CICD (Continuous Integration Continuous Deployment)
• Experience in big data technologies like Hadoop, Map Reduce, Spark, etc
• Experience with Amazon Web Services and Dockers

Responsibilities:

• Development and Integration of user-facing design elements with server-side logic.
• Design and develop backend API services and databases to serve frontend applications.
• Code for multi-platform environments.
• Build reusable code and libraries for future use.
• Ensure responsiveness of applications.
• Optimization of the application for maximum speed and scalability.

Skills and Qualifications:

• Basic understanding of front-end technologies and platforms, such as JavaScript, HTML5, and CSS3.
• Proficient in Angular JS or ReactJS, Node.js and JavaScript.
• Integration of multiple data sources and databases into one system.
• Management of hosting environment, including database administration and scaling an application to support load changes.
• Understanding differences between multiple delivery platforms such as mobile vs desktop, and optimizing output to match the specific platform.
• Creating database schemas that represent and support business processes in one or more database technologies such as Mongo, MySQL etc.
• Implementing automated testing platforms and unit tests.
• Proficient knowledge of a back-end programming language. (Depending on the specific case, a developer should have the knowledge of one or more of Python, Ruby, JavaScript etc.)
• Proficient understanding of code versioning tools, such as Git.

Academic Qualifications:

• Engineering degree from a reputed institute