Javascript developer

Role: Full Stack JavaScript/TypeScript Developer

We're looking for a Full Stack Developer with strong JavaScript/TypeScript fundamentals to join our team and help build AI-powered product features.

Responsibilities:

Core Skills & Competencies (Must have):

• Strong proficiency in TypeScript and solid JavaScript fundamentals
• Front-end development skills with the React ecosystem (Next.js), including state management libraries like Zustand, Redux
• Expertise in HTML/CSS, with experience creating responsive and adaptive designs
• Experience building AI-assisted features such as chatbots, content generation, semantic search, recommendations, or intelligent automation
• Experience with RESTful services and APIs
• Familiarity with AI SDKs, LLM APIs, and vector databases
• Experience with SQL and database management, understanding relational databases, and ability to write efficient and optimized queries
• Understanding of database design and management, especially with SQL
• Experience with version control systems such as Git
• 
  

Desired Skills & Competencies (Nice to have):

• Experience with event-driven architecture
• Experience with cloud services like Azure or AWS
• Familiarity with modern DevOps practices
• Understanding of security practices and web application security
• Familiarity with CI/CD pipelines
• 
  

What we're looking for:

• Strong command over JS/TS fundamentals, not just framework-level knowledge
• Candidates with internship experience or a background from a reputed engineering college preferred
• Please share your GitHub link, portfolio, or details of projects you've built (personal, academic, or professional)

Role Summary 

We are seeking a Senior Software Developer with strong backend engineering experience and an AI-first, automation-focused mindset. The ideal candidate is proficient in JavaScript, Node.js, TypeScript, APIs, and AWS, with experience building scalable integrations and working in microservices environments. 

The role will also contribute to the adoption of AI-assisted and agentic development practices, including working with Model Context Protocol (MCP), AI agents, reusable skills/tools, and automation to improve engineering productivity. 

We are looking for someone who can work independently, challenge existing approaches, identify opportunities for automation, and drive solutions with minimal supervision. 

Key Responsibilities 

• Design, develop, test, and maintain backend services using JavaScript, Node.js, TypeScript, and XML. 
• Build scalable integrations using REST/JSON APIs and microservice-based architectures. 
• Develop and support services in an AWS cloud environment. 
• Use AI-assisted development tools to improve coding, debugging, testing, documentation, analysis, and code review. 
• Design and integrate MCP servers/tools to enable AI agents to securely interact with applications, APIs, data, and engineering systems. 
• Build or contribute to reusable AI agents, skills, prompts, tools, and automated engineering workflows. 
• Identify repetitive development and support activities that can be simplified or automated using AI or traditional automation. 
• Perform code reviews and ensure adherence to engineering, security, and coding standards. 
• Troubleshoot complex defects and production issues and perform structured root-cause analysis. 
• Collaborate with QA, Product, Business Analysis, and Architecture teams to deliver high-quality solutions. 
• Contribute to technical documentation, reusable solutions, and engineering knowledge sharing. 

Required Skills & Experience 

• Strong experience with Node.js, JavaScript, and TypeScript. 
• Strong experience designing and integrating REST APIs and JSON-based services. 
• Experience working with XML, including parsing, validation, and transformations. 
• Experience developing solutions in AWS and microservices environments. 
• Strong debugging, troubleshooting, and production-support skills. 
• Experience with AI-assisted software development tools such as Claude Code, GitHub Copilot, Cursor, Devin, or similar tools. 
• Understanding of LLMs, AI agents, tool calling, and agentic workflows. 
• Experience working with or building Model Context Protocol (MCP) servers and integrations. 
• Understanding of secure API/tool integration, authentication, permissions, and data handling when exposing capabilities to AI agents. 
• Ability to identify practical opportunities for AI, automation, and reusable engineering tooling. 
• Experience with CI/CD, Git-based development, and modern software engineering practices. 
• Experience performing code reviews and mentoring other developers. 
• Strong analytical, problem-solving, written, and verbal communication skills. 

Preferred Skills 

• Experience building AI-enabled developer tools, agents, or internal engineering platforms. 
• Experience with prompt engineering, structured outputs, RAG, embeddings, or LLM APIs. 
• Experience integrating engineering systems such as GitLab, Jira, CI/CD pipelines, APIs, databases, or observability platforms with AI agents. 
• Experience creating reusable MCP tools or agent workflows used by multiple developers. 
• Airline, travel, Offer/Order, reservation systems, or GDS experience is a plus. 

Mindset We Are Looking For 

We are looking for developers who think beyond implementing the immediate requirement and consistently ask: 

• Can AI or automation make this development process faster or more reliable? 
• Can this capability be built as a reusable tool, skill, agent, or MCP integration? 
• Can repetitive analysis, debugging, testing, or documentation be automated? 
• Can an existing solution be simplified or made more scalable? 
• How can AI be used responsibly without compromising security, quality, or maintainability? 

The goal is to build an engineering organization where developers use AI and automation as part of their everyday engineering workflow, while continuing to maintain strong software engineering fundamentals. 

Key Requirements / Skills

• 6+ years of overall experience in software development with strong expertise in building scalable web applications.
• 2+ years of experience as a Technical Lead, managing development teams and driving project delivery.
• Strong technical decision-making ability, including architecture design, technology selection, and implementation of best practices.
• Front-end expertise: Strong experience in React, JavaScript, TypeScript, and building responsive and user-friendly UI/UX.
• Back-end development: Hands-on experience with Node.js, RESTful APIs, API design, and server-side architecture.
• Gen AI Expertise: Experience in building RAG & LLM Systems, implementing AI/ML models or integrating AI-based solutions to solve business problems.
• Cloud & DevOps exposure: Experience with AWS/Azure, understanding of CI/CD pipelines, and cloud-based deployments.
• Code quality & best practices: Experience in code reviews, Git version control, and ensuring maintainable and secure code.
• Team leadership: Ability to mentor developers, guide technical discussions, and collaborate across teams.
• Strong communication skills to effectively interact with technical and non-technical stakeholders.
• Experience working in high-compliance environments such as healthcare systems is a plus.

Education Qualifications:

• B.Tech/M.Tech in CSE/IT/AI/ML from a good university

About Dino Ventures

Dino Ventures is a Bharat-focused, app-first technology company with 5M+ app downloads across a portfolio of 10+ live applications. Our flagship products—including Samaj Saathi, Samjho, and Stick—serve millions of users across India, solving meaningful problems at scale.

We’re building products that impact everyday lives, and we’re looking for experienced engineers who thrive on ownership, performance, and shipping high-quality software.

What You’ll Do

• Architect, build, and scale high-performance, real-time applications across the entire stack.
• Design robust backend services, APIs, and distributed systems that power millions of users.
• Build fast, responsive, and polished user experiences with a strong focus on performance and usability.
• Optimize databases, caching layers, and application architecture for scalability, reliability, and cost efficiency.
• Lead technical design discussions, make architectural decisions, and mentor fellow engineers.
• Drive projects from concept to production with complete ownership.
• Collaborate closely with product and design teams to build impactful user experiences.
• Leverage modern AI-assisted development tools (Claude Code, Codex, Cursor, etc.) to maximize engineering productivity.

Our Tech Stack

Backend

• Node.js
• TypeScript
• PostgreSQL
• Redis
• Elasticsearch

Frontend

• SvelteKit
• TypeScript
• Tailwind CSS
• tRPC
• TanStack Query

(We’re pragmatic about technology—we choose the right tool for the job.)

What We’re Looking For

• 2+ years of experience building and shipping production-grade software.
• Strong expertise in TypeScript/JavaScript across frontend and backend development.
• Deep understanding of software engineering fundamentals, system design, and scalable architecture.
• Strong knowledge of relational databases, indexing strategies, query optimization, and database internals.
• Experience building scalable REST APIs and real-time systems.
• Familiarity with caching, asynchronous processing, networking, and distributed systems.
• Experience using modern AI coding tools to accelerate development workflows.
• Strong attention to engineering quality, including latency, reliability, race conditions, bundle size, and user experience.
• Ability to balance speed with maintainability, making thoughtful engineering trade-offs.
• Self-driven with a strong sense of ownership and a product mindset.

Intent > Experience > Skills

Why Join Dino Ventures?

• Build products that solve real problems for millions of Bharat users.
• Work across multiple products with opportunities to build new systems from scratch.
• High ownership, minimal bureaucracy, and fast decision-making.
• Collaborate with an ambitious, product-first engineering team.
• See your work reach production from Day 1.
• Shape the technical direction of products used at massive scale.

If you enjoy solving challenging engineering problems, care deeply about software craftsmanship, and want your work to make a real-world impact, we’d love to hear from you.

Full-Stack Software Engineer | Remote

We're hiring a product-focused Full-Stack Engineer to join a small, fast-moving tech team. This is a hands-on role you'll build complete features across frontend, backend, APIs, databases, deployment, and increasingly, AI-assisted workflows.

What You'll Do:

• Build and ship full-stack features using modern JS/TypeScript, plus Java or Node.js on the backend
• Work across frontend, backend, APIs, databases, integrations, and deployment
• Apply secure engineering practices (auth, input validation, secrets, dependencies)
• Use AI tools for coding, debugging, testing, and code review
• Explore AI agents, tool calling, and MCP-based integrations

What We Need:

• 3+ years of professional software engineering experience
• Strong JS/TypeScript skills; experience with Angular or React
• Backend experience with Java, Node.js, or similar
• Comfortable with REST APIs, databases, Git, cloud environments
• Awareness of OWASP principles and application security
• Interest/experience in AI dev tools, Docker, CI/CD

Position Overview

We are seeking a versatile Senior Full Stack & AI Agent Developer to architect, build, and

maintain end-to-end software solutions spanning web platforms, desktop applications, and

autonomous AI agents capable of interacting with and controlling these software systems.

The ideal candidate will bridge traditional engineering software with cutting-edge artificial

intelligence to automate data processing and enhance operational decision-making. While

not strictly required, a background or strong interest in the energy sector—specifically

drilling and completion operations—is highly desirable.

Key Responsibilities

• Full Stack Development: Design, develop, and deploy robust web applications and

native desktop software utilized by engineering and operational teams.

• AI Agent Engineering: Build, train, and integrate autonomous AI agents and LLM-

driven workflows capable of interpreting data, executing commands, and safely

controlling desktop and web-based software.

• Workflow Automation: Translate complex workflows into intuitive software features

and autonomous agent actions, minimizing manual data entry and operational

bottlenecks.

• Data Integration: Handle high-frequency data streams and integrate them seamlessly

into user interfaces and backend AI models.

• Architecture & Scalability: Ensure high performance, security, and scalability across

cloud infrastructure (AWS/Azure), local desktop environments, and potential edge

computing setups.

• Cross-Functional Collaboration: Work closely with domain experts and end-users to

translate field challenges into technical product requirements.

Required Qualifications & Experience

• Experience: Minimum of 5 years of professional software development experience,

with a proven track record of delivering production-ready web and desktop

applications.

• Programming Languages: Strong proficiency in Python, JavaScript/TypeScript, and at

least one compiled language (C#, C++, or Java).• Web & Desktop Frameworks: Hands-on experience with modern frontend

frameworks (React, Angular, or Vue.js), Node.js, and desktop application development

(Electron, WPF, Qt, or Tauri).

• AI & Agent Tooling: Demonstrated experience building AI agents using LLM APIs

(OpenAI, Anthropic), open-source models (Hugging Face), LangChain, LlamaIndex,

AutoGPT, or custom agent architectures.

• Automation & UI Control: Expertise in software control mechanisms using tools like

Selenium, Playwright, PyAutoGUI, Appium, or computer vision-based GUI automation to

allow AI agents to navigate software.

• Cloud, DevOps & Databases: Experience with Git, Docker, CI/CD pipelines, cloud

platforms (AWS/Azure/GCP), RESTful APIs, GraphQL, and relational/NoSQL databases.

Preferred Qualifications (Strong Plus)

• Industry Domain Expertise: Prior hands-on development experience within the oil and

gas sector, specifically focused on drilling, completions, rig operations, or subsurface

engineering software.

• Data & Protocols: Familiarity with oilfield data standards (e.g., WITSML, OPC-UA) and

time-series databases.

• Experience deploying AI models and agents in edge or low-connectivity environments

(such as offshore rigs or remote drilling sites).

• Familiarity with safety-critical software design and cybersecurity standards in

industrial control systems (ICS/SCADA).

• Degree in Computer Science, Software Engineering, Petroleum Engineering, or a related technical discipline.

AI-Native Full-Stack Engineer

About the role

We are hiring an AI-native full-stack engineer who takes a client's problem from the first conversation to a working product in production. You will build both the front end and the back end, use AI tools as a

daily part of how you work, and own the outcome rather than a ticket queue.

Most of our clients are in North America, so you will also speak with them directly: demos, status updates, scoping, and respectful pushback when a request will not serve their goal. You will work as part of a team, on site in our Bangalore office.

What you will own

You own the outcome from discovery to post-launch, not a single layer of the stack.

• Discover and scope: turn a vague client need into a clear problem statement, a success metric,

and a small first release.

• Design and build: deliver the user interface, APIs, and database for features end to end, choosing the simplest approach that works.

• Ship and run: set up deployment (CI/CD, cloud basics), add monitoring, and fix production issues you or your team introduced.

• Communicate with clients: run demos and status calls, write clear async updates, give honest estimates, and flag risks early.

• Iterate on results: review usage and feedback after launch, and decide what to improve, cut, or leave alone.

• Work with the team: review code, share what works with AI tools, and help teammates unblock their own work.

• Protect quality and trust: write tests, review AI-generated code critically, and handle client data and secrets responsibly.

What "AI-native" means here

AI-native means AI tools are part of how you plan, build, and check your work, and you stay accountable for every line that ships. Familiarity with a tool name is not enough.

• You work with coding agents daily (for example Claude Code, Cursor, or Copilot) and can explain how you steer them: specs, context files, task breakdown, and when you take the keyboard back.

• You review AI output critically. You test it, read it for security and maintainability problems, and reject what does not hold up.

• You verify, not just generate. Tests, logging, and checks come with your work, because speed without confidence is not delivery.

• You know when not to use AI, and you can explain that choice to a client in plain language.

What we are looking for

Experience level matters less than how you work. We value agile, quick learners who can show real shipped work.

Technical baseline

• Language-agnostic engineering: you pick up new languages and frameworks quickly and choose the right tool for the problem, rather than defending a favorite stack.

• Real strength in a few languages or frameworks (for example JavaScript or TypeScript, Python, Java, Go, or C#), shown in projects that span both the front end and back end.

• Fundamentals that carry across stacks: web basics (HTML, CSS, HTTP), designing and consuming APIs, and data modeling with SQL databases.

• Git, pull requests, and basic CI/CD and cloud deployment.

• A track record of using AI tools in real projects.

How you work

• Communication: clear spoken and written English, comfortable on client calls, and able to explain technical trade-offs to non-technical people.

• Ownership: you follow a problem through to resolution and raise issues before they become surprises.

• Outcome focus: you measure your work by what changed for the user or the client, not by lines of code or tasks closed.

• Product thinking: you ask who the user is, what problem we are solving, and how we will know it worked. You suggest simpler options and say what you would leave out.

• Problem solving: you break down unclear problems, form hypotheses, and debug methodically instead of guessing.

• Agility: you are comfortable with changing requirements, short cycles, and learning new tools quickly.

Nice to have

• Prior client-facing, consulting, or agency experience, especially with North American clients.

• Docker, a major cloud provider (AWS, Azure, or GCP), and infrastructure basics.

• Experience with testing frameworks, observability tools, and performance tuning.

• Awareness of secure coding, privacy expectations, and common client compliance requirements such as SOC 2.

• Open-source contributions, technical writing, or a deployed side project you can demo.

How we evaluate

We look at what you have built, not only how you interview. Please be ready to share your Git repositories and any deployed work.

1. Application and Git review: send a link to your repositories (GitHub, GitLab, or similar) with a short note on the project you are proudest of. We read your commit history, pull requests, tests, and README, and try the deployed demo if there is one.

2. Project walkthrough: a conversation where you explain one project in depth: the problem, your key decisions, what broke, what you would change, and how you used AI along the way.

3. Practical exercise with AI tools allowed: a short build task where we watch how you plan, direct your tools, and verify the result.

4. Client communication round: a mock client call where you present your work, answer questions, and handle a change in scope.

5. Team and values conversation: how you collaborate, take feedback, and own mistakes.

If your best work is under NDA, tell us. You can describe it in the walkthrough and show a side project in the repository review instead.

Role details

Title : AI-Native Full-Stack Engineer

Employment type : Full-time employee

Location : On site, Bangalore office

Experience level : Open: we hire for agility and proven work, not

years

Team :Part of a project team, working alongside a

product or account lead

Client contact : Shared: you and the lead both speak with North

American clients

Domain : Generalist, across industries

If any candidates interested for above role, pls drop message on this WhatsApp number

nine three one six one two zero one three two

Senior Full Stack Developer – Node.js + React.js

Brahmveda Ventures Private Limited is an AI-focused venture studio that builds and launches technology products from the ground up. We work across different ventures, solving real business problems through technology, AI, and product innovation.

Experience: 7+ Years

Location: Piplod, Surat | Work Mode: On-site

We are looking for a Senior Full Stack Developer who can take ownership of building scalable products and solve complex technical problems end-to-end.

Your Role

We are looking for a Senior Full Stack Developer who can take ownership of building scalable products and drive technical initiatives from idea to production.

• Build and ship scalable applications using Node.js, React.js, and TypeScript.
• Design system architecture, technical solutions, and efficient database structures.
• Build and manage queues, workers, and long-running background jobs.
• Use AI agents and AI coding tools hands-on to improve development and solve engineering problems.
• Take ownership of technical initiatives and deliver features from idea to production.
• Collaborate with the team to improve performance, reliability, and engineering practices.

What We're Looking For

• 7+ years of strong hands-on Full Stack Development experience.
• Strong knowledge of Node.js, React.js, TypeScript, and databases.
• Strong understanding of system design, architecture, and database design.
• Experience with queues, background jobs, and asynchronous processing.
• Hands-on experience with AI agents / agentic software engineering is a key requirement.
• Strong problem-solving and decision-making skills.
• A strong ownership and product mindset with the ability to independently drive work and get things shipped.

Key Responsibilities

Frontend & Extension Development

• Build and maintain highly responsive, modern user interfaces using React.js for web applications, browser extensions, and Electron-based desktop clients.

• Architect and develop modular, reusable UI components using Material-UI (MUI / Joy UI) and styled-components/Emotion.

• Manage complex multi-target build pipelines (Web, Extension, Electron) using Webpack and Craco.

AI Integration & Engineering

• Seamlessly integrate Generative AI capabilities into the frontend, including AI-driven chatbots, contextual AI suggestions, and RAG (Retrieval-Augmented Generation) interfaces.

• Collaborate closely with backend and AI specialists to consume AI-powered REST APIs and WebSocket streams, ensuring fluid and responsive user experiences.

• Implement robust markdown and code rendering (e.g., react-markdown) for rich AI conversational outputs.

Real-Time Data & State Management

• Implement low-latency, real-time communication features using Socket.IO for chat and collaborative functions.

• Efficiently manage complex application state, data fetching, and caching using modern tools like React Query and Axios.

Quality & Collaboration

• Work within a monorepo/workspace structure to maintain distinct client, component, and extension packages.

• Participate in code reviews to maintain high code quality, performance, and enterprise security standards.

• Collaborate with teams using Agile/Scrum methodologies for rapid and structured delivery.

Required Skills:

• Core Languages: Proficiency in JavaScript (ES6+) and TypeScript.

• Frontend Frameworks: Strong, hands-on experience with React.js (Hooks, Context), React Query, and React Router.

• Styling & UI: Deep understanding of HTML5, CSS3, and CSS-in-JS libraries (e.g., styled-components, react-jss). Hands-on experience with MUI (Material UI / Joy UI) is highly preferred.

• Architecture & Build: Experience configuring and optimizing builds with Webpack and Craco. Familiarity with npm workspaces/monorepos.

• Real-time & APIs: Ability to design and implement robust client-side integrations with RESTful APIs and WebSockets (Socket.IO).

• Agile & Workflow: Experience working with Agile and Scrum methodologies.

Preferred/Bonus Skills:

• Experience in building and packaging Browser Extensions and/or Electron applications.

• Genuine curiosity and awareness of Generative AI workflows (e.g., prompt engineering concepts, handling streaming AI responses).

• Experience with rich text editing or markdown rendering in React.

Apply and complete the screening questions on Just Interview:

https://app.justinterview.ai/apply/10004916?src=cutshort

Company: Lucid Growth Media

Website: https://lucidgrowthmedia.com/

Department: Engineering

Employment type: Full-time

Work mode: On-site

Job location: Shyamnagar, Jaipur, Rajasthan

Minimum experience: 3 years of professional experience

Maximum experience: 5 years of professional experience

Prior on-site development-team experience: At least 2 years

Monthly take-home salary: ₹40,000–₹60,000 — up to ₹60,000, based on demonstrated capability and relevant experience. The offer will include a salary breakdown.

Working schedule: Monday to Saturday; second and fourth Saturdays off. Sundays off.

Shift timing: 9:00 AM–6:00 PM (9-hour shift)

Application deadline: 30 September 2026

Skills: TypeScript, JavaScript, Node.js, React, Python/FastAPI maintenance, MCP, AI tool calling, REST APIs, low-code workflow integration, webhooks, SQL and Git.

Job description

Build useful integrations across application APIs, AI tools, workflow systems and user interfaces. You will combine TypeScript/Node.js and React development with MCP, tool-using agents and low-code workflows that include custom code.

You will work with a backend lead, an Android automation engineer and a browser automation engineer. The role includes improving existing interfaces, connecting reliable data to dashboards, and turning routine operational tasks into maintainable, observable workflows. Company-provided AI coding tools support development.

Responsibilities

- Build and improve TypeScript APIs, React interfaces and integrations with existing services.

- Maintain existing Python/FastAPI APIs and background jobs, with support from the backend lead on architecture and database changes.

- Implement MCP tools and agent workflows with defined inputs, permissions, failure handling and useful evaluation cases.

- Connect low-code workflows to APIs using webhooks, authentication and custom JavaScript or Python.

- Make workflows reliable through idempotency, retries, execution logs and clear recovery behaviour.

- Build curated analytics feeds and dashboards, checking that displayed results agree with source data.

- Improve selected slow or broken frontend journeys using profiling, tests and user-facing acceptance criteria.

- Document plans before implementation and attach verification evidence to completed tasks.

Required skills and experience

- Production TypeScript/JavaScript, Node.js, React and API integration experience.

- Working Python/FastAPI skills sufficient to diagnose, change and test existing APIs and asynchronous jobs.

- Hands-on experience shipping tool-calling AI features or MCP integrations, with the ability to explain authorisation and failure cases.

- Experience with at least one low-code workflow platform and writing the custom code needed around it.

- SQL/database fundamentals, authentication, webhooks and asynchronous processing.

- Practical testing, Git review, debugging and safe handling of credentials and sensitive data.

- Clear written English for specifications, prompts, task updates and review responses.

- Evidence of maintaining an integration after release and correcting problems based on feedback.

Experience with BI dashboards, incremental data feeds and agent evaluation is useful. You should be able to explain how a result was checked and when the system should report uncertainty or request human input.

How we work and hire

Work follows documented tasks, approval, implementation, review and verification. We value early escalation of blockers and honest reporting of results.

Selection includes a short AI-assisted initial interview, an approximately 60–90-minute practical using synthetic material, and an on-site technical discussion. Final hiring decisions include human review.