Lead Fullstack Developer (AI Systems & Architecture)

Lead Full-Stack Software Engineer (Node.js & React)

Location: Whitefield, Bengaluru, India (On-premise / In-office)

Experience: 10+ Years

Employment Type: Full-time, Permanent

About Us:

InnovXcare aims to play in an exciting space where advanced technologies and innovations

meet the need to provide improved access to quality care in India and beyond. We are an

early-stage startup aiming to tackle the challenges in the Imaging diagnostic reporting

industry through novel applications of Artificial Intelligence and Deep Learning. As a part of

this company, you will get a chance to work in a fast-paced environment with a team of

passionate and high-performing individuals who are looking to make an impact in the

healthcare space in India. We will look to you to own significant portions of our solution

development and be a part of solving some of the most challenging problems in healthcare

today.

The Role & Impact

As the Lead Full-Stack Software Engineer, you will be the core technical anchor of the company. You will bridge the gap between our state-of-the-art data science models and enterprise-grade production software. You will directly lead, mentor, and scale a high-performing 8-person software team team consisting of 7 software developers (in-house and full-time contractors), 6 AI/data scientists, 1 product designer, and 5 QA specialists.

This is a hands-on architecture and leadership role. You will own the system design, enforce engineering excellence, and build low-latency, highly available pipelines that handle real-time clinical workflows.

Core Responsibilities

• System Architecture & Scaling: Design and scale robust, event-driven microservices using Node.js and high-performance user interfaces using React.js to support multi-modal AI clinical tools.
• AI & Software Integration: Architect the data pipelines and APIs that wrap, serve, and orchestrate heavy AI models (voice-to-text transcription, NLP, and radiology reporting tools).
• Real-Time Data Streaming: Implement secure, low-latency, full-duplex communication protocols (WebSockets, WebRTC) to stream live audio and heavy medical data feeds seamlessly between the client and backend.
• Engineering Leadership: Manage, mentor, and inspire a hybrid team of 7 software developers and 5 QA engineers. Drive agile sprint planning, set high standards for clean code, and establish robust CI/CD pipelines.
• Production Stability: Ensure high availability, data security (HIPAA/healthcare compliance standards), and performance monitoring for a product already live and actively used in market.
• Cross-Functional Collaboration: Partner closely with the 6-member AI research team, design resources, and business stakeholders to translate complex clinical product requirements into technical roadmaps.

Required Technical Skills & Experience

• 10+ years of professional software engineering experience, with at least 3+ years in a Tech Lead or Engineering Manager capacity within a fast-paced startup or high-growth tech environment.
• Deep production-level mastery of Node.js (Express, NestJS, or similar) and React.js (including advanced state management like Redux, Context API, or Zustand).
• Proven experience building event-driven architectures and handling asynchronous workloads using message brokers like RabbitMQ, Kafka, or AWS SQS/SNS.
• Strong proficiency with real-time streaming tools, data processing, and protocol management (WebSockets, Socket.io).
• Heavy experience with cloud infrastructure (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and automated testing frameworks.
• Solid understanding of database design, optimization, and scaling (SQL and NoSQL).

General Attributes

• Exceptional communication and decision making skills.
• Demonstrated ability to mentor teams and influence architecture direction.
• High ownership mindset and ability to deliver against clear plans.
• Strong adaptability and comfort operating in fast moving environments.

Preferred (Bonus) Qualifications

• Prior experience in the Health-Tech / Med-Tech domain, specifically dealing with medical imaging systems, electronic health records (EHR), or healthcare compliance.
• Familiarity with medical imaging/data standards or frontend medical web viewers (e.g., Cornerstone.js, OHIF Viewer, DICOM web protocols) is a massive plus.

What We Offer

• Competitive Compensation: Highly attractive base salary aligned with top-tier Bengaluru tech standards.
• High Autonomy: Direct influence over technical stack decisions, product architecture, and engineering culture.
• Mission-Driven Work: The opportunity to build software that directly saves lives and transforms global healthcare via artificial intelligence.

Role Description

Software Engineer is a full-time role based in Hyderabad with Onsite work arrangement. This role involves designing, developing, and maintaining back-end services and APIs, ensuring high performance, scalability, and security across platforms. The engineer will participate in architecture discussions, code reviews, and technical decision-making, collaborating closely with product owners, QA, and cross-functional teams. Daily responsibilities include writing clean, maintainable code, troubleshooting complex issues, improving system performance, and contributing to best practices, documentation, and engineering standards. The role also includes mentoring less experienced engineers and supporting continuous improvement in development processes and tooling.

Key Requirements/Skills

4-7 years of overall experience in software development with strong expertise in building scalable web & mobile applications.

• Strong technical decision-making ability, including architecture design, technology selection and implementation of best practices.
• Front-end expertise: Strong experience in React, JavaScript, TypeScript, NextJS and building responsive and user-friendly UI/UX.
• Back-end development: Hands-on experience with Node.js, Express JS, Nest JS, RESTful APIs, API design, and server-side architecture.
• Databases : Good Hands on Exprience in both SQL(PostgreSQL Preferred) & No SQL Databases
• Gen AI Expertise: Experience in building RAG & LLM Systems, implementing AI/ML models and integrating AI-based solutions to solve business problems. Expereince with Langchain, langgraph and Vector DBs, Voice AI(STT, TTS) Models and experience in using Open AI Tools (Calude, Cursor, etc.)
• 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.
• Certifications in AWS & Other skills and technologies will be an added advantage.

Educational Qualification

• B.Tech / M.Tech in CSE/IT/AI&ML only from a recognized university/college. 

Read This Before Anything Else

We have 6 developers who can ship. What we don't have is someone who turns that into a real engineering function: real architecture, real leverage, real AI-driven advantage. If that gap sounds like an opportunity rather than a headache, you're in the right place. If it sounds like a lot of undefined work with no playbook handed to you, this one probably isn't for you. That's completely okay. There are plenty of great roles that fit differently.

About CraftMyPlate

CraftMyPlate is Hyderabad's go-to platform for food experiences for micro-events: house parties, birthdays, office celebrations, festive gatherings, and more. We're building the operating system for how India discovers, customises, and orders food for smaller events. We're backed by established founders and investors, and we're funded and growing fast. The next phase of that growth runs through engineering.

Where We Stand

Some numbers, because they matter more than adjectives. Order volume has grown 50x in two years, and we're compounding at roughly 3x year over year, without giving up equity to fund it. That means the business runs on its own economics. The growth is real demand, not runway bought with dilution, and every efficient architectural decision this role makes directly protects that.

Most people size up an opportunity by asking what's going to change in ten years. The more useful question, and the one this company is built around, is what won't change. People will keep gathering. They'll keep celebrating, hosting, and marking festivals, in 10 years and in 20. That permanence is the bet. You're not building infrastructure for a trend cycle. You're building for a category that outlasts the current AI wave, the next funding round, and probably us too.

The Technical Reality

Here's an honest read of the engineering problem, not a sanitized version of it.

Event-driven commerce doesn't scale like typical e-commerce. Demand isn't smooth, it's spiky: weekends, festival calendars, and event dates create real load concentration, and each order is tied to a hard deadline that can't slip the way a shipped package can. That has direct architectural consequences: systems need to handle bursty, unpredictable traffic without paying for idle capacity the rest of the time, which is exactly why we're serverless-first on AWS rather than running a fixed fleet sized for peak.

Underneath that, every order touches multiple systems that have to stay consistent: kitchen and vendor fulfillment status, inventory across partners, payment gateway settlement, and refunds, often in real time and often across more than one vendor for a single event. Getting that consistency right across SQL and NoSQL stores, without it becoming a source of support tickets and manual reconciliation, is a real architecture problem, not a CRUD problem.

The AI-agent layer is the next lever, and it's a business lever as much as a technical one. Every workflow we can hand to a well-orchestrated agent instead of a new hire is a workflow that scales without adding headcount, which is exactly how a company grows 3x a year without diluting equity to fund the team behind it. That's why agent orchestration across multiple LLMs, using LangGraph, sits in the "go deep" tier of this role rather than being a nice-to-have.

You'll likely find some of this framing right and some of it worth challenging once you're actually in the codebase. That's expected, and honestly preferred over someone who just nods along.

Why This Role Exists

You'll be the most senior technical person in the company, reporting directly to the founder. Not a manager brought in to run standups. An owner. You set the architecture, you write code yourself, and you make the team materially better. You also own where AI and automation take this company next, starting with our first in-house AI agent product (details shared in the interview), and expanding from there into how the company runs, department by department: HR, finance, marketing, design, development, all sitting on an engineering layer that you design.

If you've outgrown a role where you plan but don't build, or where good ideas die in a committee, this is built to be the opposite of that.

What You'll Own

• Architecture, end to end. Scalable, cost-efficient systems from day one, not "fix it later" engineering. You own the decisions and their long-term consequences.
• Hands-on building. You are still writing code and shipping. This isn't a seat where you review other people's work all day. You lead by building.
• The engineering team. Directly manage, mentor, and level up our 6 developers. Build the technical bar, the review culture, and the calibration that lets the team ship independently.
• The AI-agent roadmap. Own the architecture behind our first AI agent product, then the broader strategy for AI agents and automation across every function in the company, with engineering as the layer underneath all of it.
• Team scaling. Build the next layer of leads under you so execution quality scales without you being the bottleneck.
• Technical accountability. When something breaks, you fix it. You don't escalate and wait.

Our Stack, and the Depth We Expect

Not everything on this list needs the same level of mastery. Some of it you need to own at an architectural level. The rest you need to be strong enough to build yourself, direct the team on, or delegate to AI agents with confidence.

Go deep here. This is where the real architecture decisions live, and where the business impact is highest:

• AWS, serverless first. You should be genuinely well versed in AWS application development, not just "have used AWS." You should be able to design and guide serverless architecture (Lambda, API Gateway, DynamoDB, Step Functions, and similar) as our default way of building, because our demand curve is spiky by nature and fixed infrastructure is money left on the table.
• TypeScript, our primary language across backend and frontend.
• Agent orchestration across multiple LLMs, using LangGraph. This is core to our AI roadmap and our path to scaling operations without scaling headcount. You own how it's architected, not just how it's used.

Working proficiency. Build it yourself, direct the team, or hand it to an AI agent and know if the output is right.

This Is You If

• You've built and shipped real production systems yourself, not just reviewed other people's architecture from a distance.
• You go deep wherever the problem is, and you're comfortable owning the exact stack described above, not just "full-stack" in the abstract.
• You've made engineers around you measurably better, whether or not you've held the title for it yet.
• You're already using AI coding tools and agents seriously, like Claude, Cursor, or similar tools, as part of how you build, not as something you tried once. We'll likely explore this together in the interview.
• You have a bias toward leverage over hours. You'd rather automate or systematize a problem than grind through it. But when something's live and needs to be done right, you see it through completely, with no half-finished work.
• You want to build something for years, not land somewhere comfortable. We'll know the difference from how you talk about your last three years.

This Might Not Be the Right Fit If

• You'd prefer a stable, well-defined role with clear boundaries and someone else making the calls. That's a fair thing to want, just not what this is.
• You'd rather receive direction than bring us architecture and AI strategy yourself.
• You haven't yet gotten hands-on with AI coding tools in your daily work.
• You're drawn more to the title than the work behind it.

If none of that sounds like you, we'd love to hear from you.

Requirements

• 5 to 7 years of experience in software engineering, with real ownership of architecture-level decisions, not just feature delivery.
• Prior experience leading or mentoring engineers, formally or informally.
• Tier-1 or Tier-1+ engineering college strongly preferred (IIT, BITS, top NIT tier, or equivalent). We'll consider other institutions only with clearly commendable, verifiable work: real systems you can walk us through in depth, strong open-source contributions, or a track record that speaks for itself. Pedigree is a proxy for speed, not a checkbox. We test for the underlying ability regardless.
• Comfortable in an early-stage environment: undefined problems, few processes, and the expectation that you help define both.

Compensation

Competitive, with equity. We're formalizing a structured ESOP program alongside this hire. Specific numbers are discussed directly in later interview rounds.

If reading this got you a little excited about what you'd build here, we'd genuinely love to talk. If it didn't quite land, no hard feelings. We just want the right fit for both sides.

Role: Senior Full-Stack Engineer — TypeScript & React

Location: Hyderabad, India (Hybrid)

Employment Type: Full-Time

Department: Engineering

About CargoSprint

CargoSprint accelerates cargo movement across air, ocean, road, and rail through innovative payment, appointment, and visibility solutions. We build technology that connects logistics operations, streamlines complex workflows, and improves the movement of goods across the supply chain.

Our engineering teams work at the intersection of logistics infrastructure, agentic AI, and modern cloud architecture to build scalable, reliable software that powers real-world freight operations.

About the Role

We are looking for a Senior Full-Stack Engineer with strong expertise in TypeScript, React, Node.js, and AWS serverless architecture to build and deliver end-to-end product features.

In this role, you will take ownership of features across the entire technology stack—from database schema design and backend APIs to intuitive, high-performance user interfaces. You will build serverless services, event-driven workflows, and AI-powered capabilities that simplify complex logistics operations for carriers, brokers, and shippers.

You will work within an established engineering ecosystem, following proven architectural patterns and delivering against a well-defined product backlog. We value engineers who combine strong technical fundamentals with pragmatic execution, sound engineering judgment, and a commitment to shipping production-ready software.

This is a hands-on engineering role for someone who enjoys building, taking ownership, and delivering meaningful product outcomes.

Key Responsibilities

• End-to-End Feature Development: Design, develop, test, and deploy full-stack features using React, TypeScript, Node.js, and PostgreSQL.
• Frontend Engineering: Build responsive, maintainable, and performant user interfaces using modern React patterns, reusable components, and effective state management.
• Backend Development: Develop scalable APIs and backend services using Node.js and AWS Lambda, following serverless and event-driven design principles.
• Cloud Architecture: Build and maintain AWS-based serverless applications, including asynchronous processing workflows and serverless container workloads where appropriate.
• Infrastructure as Code: Provision, configure, and manage cloud infrastructure using SST and infrastructure-as-code practices.
• Database Engineering: Design and evolve PostgreSQL schemas, optimize queries, manage migrations, and ensure data integrity.
• Technical Design: Contribute to architectural decisions involving data modeling, API contracts, system integration, and asynchronous processing patterns.
• Production Readiness: Maintain high standards for code quality, automated testing, observability, reliability, and operational support.
• Engineering Collaboration: Work closely with product managers, designers, and other engineers to translate requirements into reliable, maintainable solutions.
• AI-Assisted Development: Use AI-powered development tools, including Claude Code, to improve engineering productivity, accelerate implementation, and support effective problem-solving.

Required Qualifications

• 5+ years of professional software engineering experience.
• 3+ years of hands-on experience with TypeScript, React, and Node.js.
• Strong understanding of JavaScript and TypeScript fundamentals, modern frontend development, and full-stack application architecture.
• Solid React expertise, including component composition, state management, performance optimization, and reusable UI patterns.
• Proven experience building and operating serverless or event-driven backend services using AWS Lambda.
• Practical experience designing and implementing REST APIs or equivalent service interfaces.
• Strong hands-on experience with PostgreSQL, including schema design, query optimization, indexing, and database migrations.
• Experience with SST for defining and managing cloud infrastructure.
• Understanding of asynchronous processing, event-driven systems, and cloud application reliability.
• Familiarity with software testing, debugging, code reviews, version control, and production troubleshooting.
• Ability to take ownership of assigned work, work independently within established patterns, and deliver high-quality software consistently.
• Experience using AI-assisted development tools, particularly Claude Code, as part of everyday engineering workflows.

Technical Skills and Tools

Experience with the following technologies and libraries will be valuable:

• Frontend: React, TypeScript, TanStack, Motion, dnd-kit.
• Backend: Node.js, AWS Lambda, serverless application development.
• Cloud & Infrastructure: AWS, SST, serverless containers, event-driven architectures.
• Database: PostgreSQL, relational data modeling, query optimization.
• Utilities & Data Processing: Turf, ExcelJS, jsondiffpatch, dayjs.
• AI-Assisted Development: Claude Code and multi-session AI-assisted coding workflows.

Candidates are not expected to have equal expertise in every library. Strong fundamentals, adaptability, and the ability to work effectively within an existing technology stack are essential.

Preferred Qualifications

• Experience working with logistics, transportation, freight management, or supply chain platforms.
• Familiarity with Transportation Management Systems (TMS), including linehaul operations, storage, multi-stop movements, and shipment coordination.
• Understanding of Electronic Data Interchange (EDI) and integrations commonly used in logistics ecosystems.
• Experience building systems that process complex operational data and asynchronous business workflows.
• Exposure to agentic AI, AI-enabled product features, or AI-assisted software engineering workflows.
• Experience operating production applications on AWS with a focus on performance, observability, and reliability.

What Success Looks Like

In this role, success means:

• Delivering end-to-end product features with minimal supervision and a strong sense of ownership.
• Building reliable, maintainable, and performant applications across the frontend, backend, and database layers.
• Following established architectural patterns while identifying practical opportunities for improvement.
• Producing production-ready code with appropriate testing, monitoring, and error handling.
• Using AI-assisted engineering tools effectively to improve delivery speed without compromising code quality.
• Contributing to a collaborative engineering culture focused on execution, accountability, and continuous improvement.

Why Join CargoSprint?

• Real-World Impact: Build software that powers real freight operations and solves tangible logistics challenges.
• Ownership and Autonomy: Work in small, high-ownership teams with direct responsibility for meaningful product outcomes.
• Modern Technology Stack: Work with TypeScript, React, Node.js, AWS serverless services, PostgreSQL, and modern infrastructure tooling.
• AI-First Engineering: Contribute to a roadmap where AI is a core part of product development, not an isolated experiment.
• Collaborative Environment: Work with a globally distributed engineering team that values pragmatic problem-solving and effective execution.
• Hybrid Flexibility: Enjoy a hybrid working arrangement based out of our Hyderabad office.

Work Location

Hyderabad, India | Hybrid | Full-Time

If you are a hands-on full-stack engineer who enjoys solving complex technical problems, building reliable cloud-native applications, and delivering software with measurable real-world impact, we would love to hear from you.

Join CargoSprint and help build the technology that keeps global freight moving.

Full Stack Engineer

About the Company

We are building an AI-powered platform that transforms credit origination by automating manual bottlenecks and enabling lenders to process more loans with greater accuracy and lower risk. Our mission is to revolutionize the $3 trillion+ asset-based finance market through advanced AI technology, deep industry expertise, and strategic partnerships.

The Opportunity

Join us at an exciting stage of growth as we build and scale an enterprise-grade financial technology platform. As a Full Stack Engineer, you will play a key role in developing core platform features, including a proprietary decisioning system, robust data security for AI applications, and advanced document-processing tools.

Your work will help automate document verification, data extraction, and decision-support workflows. You will collaborate with experienced engineers in a fast-paced, product-focused environment, working with technologies such as Node.js, PostgreSQL, Python, and React.

This is an opportunity to contribute to a high-growth startup, solve real-world financial challenges, and build scalable AI-powered solutions.

Key Responsibilities

1. Full Stack Development

• Design, develop, and maintain full-stack web applications using Node.js, Python, PostgreSQL, GraphQL, and React.
• Build scalable, reliable, and maintainable application features.
• Develop responsive and efficient user interfaces integrated with robust backend services.

2. AI and Document Processing

• Build Python-based AI pipelines to automate document processing and underwriting workflows.
• Contribute to document verification, data extraction, and decision-support capabilities.
• Support the integration of AI-powered features into the core platform.

3. Collaboration and Product Development

• Collaborate with product and engineering teams to translate user requirements into scalable and efficient code.
• Participate in technical discussions and contribute to feature planning and implementation.
• Work closely with team members to deliver high-quality product features.

4. Performance and Scalability

• Optimize application performance and ensure efficient data flow and real-time functionality.
• Identify and resolve technical issues across the application stack.
• Contribute to architectural decisions that support platform scalability and long-term growth.

5. Code Quality and Deployment

• Participate in code reviews, testing, debugging, and deployment.
• Follow software development best practices to ensure code quality, reliability, and maintainability.
• Contribute to CI/CD pipelines and application deployment processes.

Required Qualifications

• 3+ years of professional experience as a Full Stack Engineer.
• Strong proficiency in Node.js and PostgreSQL, with experience in Python and hands-on experience with React.
• Experience developing and maintain

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

About the Role

SwitchKart is on a mission to make technology more accessible and more sustainable — we're in the business of recommerce, giving old smartphones a second life, cutting down e-waste, and extending the lifecycle of every device we touch.

We're looking for a Senior Full Stack Developer to help us build and scale the ecosystem of platforms powering this mission — from our procurement app to our retailer app, pricing engines, and warranty systems. You'll take ownership of complex features end-to-end, mentor junior engineers, and make architectural decisions that shape how we grow.

What You'll Do

• Own Features End-to-End: Design, build, and ship full stack features across our procurement, retailer, pricing, and warranty platforms — from database schema to UI polish.

• Drive Architecture: Make key technical decisions on system design, scalability, and code structure as our ecosystem of apps grows.

• Build AI-First: Design and build systems with AI at the core — not bolted on. Think about where AI can automate, assist, or enhance the products you're building from day one.

• Build Scalable Architecture: Build and monitor a highly performant, failure-resistant platform — we take pride in doing this with a small, high-ownership team.

• Automate and Integrate: Develop tools that automate our integration processes and build data pipelines across our app ecosystem.

• Foster Technical Excellence: Champion unit and integration testing and lead meaningful code reviews across the team.

• Prototype and Validate: Create interactive prototypes to prove out technical concepts and participate in pilots for new initiatives.

• Mentor the Team: Guide junior developers through code reviews, pairing, and technical direction.

• Report Upward: Provide regular updates to management on milestones, risks, issues, and mitigation plans.

• Collaborate Cross-Functionally: Work closely with product and design to translate requirements into robust technical solutions across multiple products.

What We're Looking For

Must Have

• 4+ years of full stack development experience

• Strong proficiency in React and Node.js

• Solid experience with PostgreSQL or MySQL — schema design, query optimisation

• Experience designing and scaling production systems

• Experience deploying and managing applications on a cloud platform (AWS/GCP or similar)

• Comfortable owning a feature from concept to deployment

• Strong debugging and problem-solving skills

Good to Have

• Experience mentoring or leading junior engineers

• Track record of driving scalability and time-to-market in past cloud architecture decisions

• Exposure to CI/CD pipelines

• Experience with Docker, NoSQL databases, or distributed caching

• Experience integrating third-party REST/SOAP APIs

• Experience in a fast-moving startup environment

Why SwitchKart

• Real ownership over architecture and technical direction.

• Access to the latest AI coding agents and tools — we invest in keeping our engineers on the cutting edge.

• Work on a genuinely differentiated business with measurable impact.

• Be part of a lean team where your decisions shape the product.

• Opportunity to mentor and grow the engineering team.

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.

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.

Software Engineer

Company Summary :

As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the work of our diverse employees who are united by a passion for learning, growing and making a difference. At Deltek, we take immense pride in creating a balanced, values-driven environment, where every employee feels included and empowered to do their best work. Our employees put our core values into action daily, creating a one-of-a-kind culture that has been recognized globally. Thanks to our incredible team, Deltek has been named one of America's Best Midsize Employers by Forbes, a Best Place to Work by Glassdoor, a Top Workplace by The Washington Post and a Best Place to Work in Asia by World HRD Congress. www.deltek.com

Business Summary :

The Deltek Engineering and Technology team builds best-in-class solutions to delight customers and meet their business needs. We are laser-focused on software design, development, innovation and quality. Our team of experts has the talent, skills and values to deliver products and services that are easy to use, reliable, sustainable and competitive. If you're looking for a safe environment where ideas are welcome, growth is supported and questions are encouraged – consider joining us as we explore the limitless opportunities of the software industry.

Position Responsibilities:

• Collaborate with the development team to maintain, enhance, and scale the product for enterprise use.
• Design and develop scalable, high-performance solutions using cloud technologies and containerization.
• Contribute to all phases of the development lifecycle, following SOLID principles and best practices.
• Write well-designed, testable, and efficient code with a strong emphasis on Test-Driven Development (TDD), ensuring comprehensive unit, integration, and performance testing.
• Ensure software designs comply with specifications and security best practices.
• Contribute ideas to improve application maintainability and performance under the guidance of senior engineers.

AI-Specific Responsibilities:

• Integrate AI-powered tools and frameworks to enhance code quality and development efficiency.
• Utilize AI-driven analytics to identify performance bottlenecks and optimize system performance.
• Implement AI-based security measures to proactively detect and mitigate potential threats.
• Leverage AI for automated testing and continuous integration/continuous deployment (CI/CD) processes.
• Support the adoption and effective use of AI agents for automating repetitive development, deployment, and testing processes within the engineering team.

Qualifications :

• 2-3 years of software engineering experience, including at least 1 year of hands-on AI/ML experience.
• Proficient in Node.js and TypeScript/React development, with experience in React 18+, Hooks (useState, useEffect, useContext), and WebSocket clients.
• Strong full-stack development experience with modern web technologies.
• Experience with ASP.NET Core (C#) is good to have.
• Experience developing REST APIs.
• Proficiency in front-end technologies (JavaScript, HTML, CSS, Bootstrap, and UI frameworks).
• Strong knowledge of cloud platforms (AWS preferred), including scalability and enterprise cloud. 
• Experience with security best practices in web and API development.
• Experience with Test-Driven Development (TDD).
• Strong database experience, focused on query optimization 
• Strong analytical skills, problem-solving abilities, and curiosity to explore new technologies.
• Ability to communicate effectively, including explaining technical concepts to non-technical stakeholders.
• High commitment to continuous learning, innovation, and improvement.

AI-Specific Qualifications:

• Practical experience with prompt engineering and LLM response optimization
• Knowledge of AI-driven development tools and platforms such as Claude Code, GitHub Copilot in Agentic Mode.
• Knowledge of AI-based security protocols and threat detection systems.
• Experience integrating GenAI or Agentic AI agents into full-stack workflows (e.g., using AI for code reviews, automated bug fixes, or system monitoring).
• Demonstrated proficiency with AI-assisted development tools and prompt engineering for code generation, testing, or documentation.