Senior Full Stack Developer

Position : Full Stack Developer (Node.js + React.js)

Experience : 5+ Years

Location : Gurgaon (Work From Office - 5 Days)

Notice Period : Immediate or within 7 days

Job Description :

We are looking for a highly skilled and passionate Full Stack Developer with strong experience in Node.js and React.js, and a solid understanding of Microservices Architecture.

This is a full-time, on-site opportunity based in Gurgaon, ideal for someone who thrives in a fast-paced development environment.

Mandatory Skills :

Node.js, React.js, JavaScript (ES6+), RESTful APIs, Microservices Architecture, MongoDB/PostgreSQL, Git, HTML5, CSS3, JWT

Key Responsibilities :

• Design, develop, test, and maintain scalable web applications using Node.js (backend) and React.js (frontend).
• Build and integrate RESTful APIs and Microservices in a production-grade environment.
• Participate in code reviews, architecture discussions, and performance optimizations.
• Collaborate with cross-functional teams including UI/UX designers, QA, DevOps, and product managers.
• Write clean, maintainable, and reusable code adhering to best practices.
• Ensure system reliability, security, scalability, and performance.
• Debug and resolve production issues efficiently.

Must-Have Skills :

• 5+ Years of full-stack development experience with Node.js and React.js.
• Strong expertise in JavaScript, ES6+, HTML5, CSS3, and responsive design.
• Solid hands-on experience in Microservices Architecture and containerized services (Docker, Kubernetes is a plus).
• Proficiency in RESTful API development and integration.
• Experience with databases such as MongoDB, PostgreSQL, or MySQL.
• Familiarity with version control tools like Git and CI/CD pipelines.
• Understanding of Agile/Scrum methodologies.

Good to Have :

• Knowledge of authentication/authorization mechanisms (OAuth, JWT).
• Exposure to cloud platforms like AWS, Azure, or GCP.
• Familiarity with testing frameworks such as Jest, Mocha, or Cypress.

We are looking for an Engineering Lead to own the entire technology stack — from onboarding and underwriting to disbursals, repayments, and collections — and to build the engineering function into something genuinely AI-native. 

What You'll Own 

● Full tech stack: backend, frontend, infrastructure, integrations, and data pipelines 

● Real-time underwriting and decisioning systems 

● LOS/LMS architecture — onboarding, disbursals, repayments, and collections

● Integrations with bureaus, KYC providers, account aggregators, and payment gateways 

● Reconciliation systems — disbursement, repayment, and NACH reconciliation end-to-end 

● AWS infrastructure: scaling, reliability, uptime, and cloud cost ownership ● Data infrastructure for the credit and risk team — feature pipelines, model serving, experiment infrastructure 

● Engineering leadership: hiring, sprint planning, code reviews, and execution standards 

● Compliance systems: RBI guidelines, DPDP, KYC/AML, e-NACH, e-sign 

AI-Native Engineering 

This is a core part of the role, not a bonus. You will build a machine-readable knowledge base of the entire codebase — architecture, data models, service contracts, coding standards, decision history — so that AI agents working on code have the context to produce accurate, consistent output. You will build skills for code review, developer onboarding, and recurring engineering workflows. You will build a code review pipeline where agents do the first pass on every pull request. The knowledge base and the skills improve over time as the team grows and the product evolves. 

What We're Looking For 

● 7+ years in software engineering, with at least 2 years leading teams or architecture

● Strong hands-on experience with Python, Django, and React Native

● Deep expertise in AWS and cloud-native architecture 

● Experience with both SQL and NoSQL databases 

● Strong understanding of distributed systems, microservices, and API design

● Experience owning reconciliation or payment flow infrastructure in a lending or payments context

● Prior experience in fintech / NBFC / digital lending — mandatory

● Strong understanding of the full loan lifecycle — mandatory 

● You have used LLMs seriously as engineering tools and have strong opinions about what makes AI-assisted development produce good output versus mediocre output 

Bonus: Kubernetes / Kafka, AI/ML-driven underwriting, Account Aggregator framework, e-NACH / e-Sign / Video KYC integrations 

What Success Looks Like 

● scales with strong uptime, performance, and reliability

● Reconciliation runs cleanly — no financial discrepancies surface late ● A new engineer joins and is writing standard, correct code within their first week

● The credit team is never blocked on an engineering dependency 

● Engineering health metrics are tracked and visibly improving 

● AI agents are doing the structured first pass on code reviews, and the system gets smarter over time 

Role: Full Stack GEN AI Engineer

Location: Remote - Bengaluru

Duration: Fulltime With VDart Digital

The role demands a developer who is not just familiar with Large Language Models (LLMs), but is an expert in building autonomous agentic workflows using the modern GenAI stack (LangChain, CrewAI, Vector DBs). Expertise in system design, cloud-native technologies, and CI/CD for AI-driven applications is essential for this high-impact delivery role.

Responsibilities

· Design, develop, and maintain full-stack applications that are scalable, robust, and meet the company's quality standards, with a specific focus on Generative AI integration.

· Agentic Orchestration: Build and deploy sophisticated multi-agent systems and autonomous workflows using frameworks like LangChain, CrewAI, or LangGraph.

· Collaborate effectively with cross-functional teams to define, design, and ship new features that bridge the gap between raw AI power and intuitive user workflows.

· Exhibit strong problem-solving skills with an emphasis on product development and driving architecture choices that enable a world-class user experience.

· Utilize a variety of modern web technologies and frameworks (React.js, Angular, or Vue.js) to build responsive and accessible user interfaces.

· Develop and maintain RESTful APIs and services with optimal performance and scalability, handling streaming AI responses and complex function-calling logic.

· Ensure code quality, organization, and automatization through best practices, including unit tests for prompts, model evaluation pipelines, and automated CI/CD for AI-driven features.

· Implement and optimize RAG (Retrieval-Augmented Generation) pipelines using Vector Databases and advanced retrieval techniques.

· Adapt to emerging technologies and frameworks, specifically new GenAI tools and frontier models, and apply them to operational and business needs.

· Manage individual project priorities, deadlines, and deliverables with minimal supervision.

Skill Requirements

· Excellent oral and written communication skills, with the ability to articulate complex AI and technical ideas to both technical and non-technical audiences.

· Profound knowledge of application development, data structures, networking, operating systems, and DBMS.

· Strong proficiency in backend programming languages for API development such as Python, Java, JavaScript (Node.js), or Go.

· Expertise in front-end technologies and frameworks such as React.js, Angular, or Vue.js.

· GenAI & Agentic Tools: Deep hands-on experience with LangChain, CrewAI, or AutoGen. Ability to manage agent memory, state, and tool-calling.

· In-depth understanding of SQL/NoSQL databases, data modeling, and experience with Vector Databases for RAG implementations.

· Solid grasp of system design, microservices architecture, and cloud-native technologies including Docker, Kubernetes, and GitHub Actions.

· Experience with distributed computing, machine learning frameworks, and tools, with a primary focus on Generative AI.

· Desirable (Good to Have): Experience with Generative or Adaptive UI development, where the interface dynamically adapts or renders components based on LLM outputs and real-time AI reasoning.

· A strong desire to learn and master new technologies and techniques in the rapidly evolving GenAI landscape.

Qualifications

· Bachelor’s degree in Computer Science, Engineering, or a related field.

· A minimum of 3-5 years of experience in full-stack development, with a proven track record of building and deploying Generative AI applications and agents.

· Portfolio of successfully deployed web applications and services, specifically showcasing AI agents, RAG implementations, or complex AI-driven features.

Role Summary

We are seeking a Full-Stack Developer to build and secure features for our Therapy Planning Software (TPS), which integrates with RMS/RIS, EMR systems, devices (DICOM, Bluetooth, VR, robotics, FES), and supports ICD–ICF–ICHI coding. The role involves ~40% frontend and 60% backend development, with end-to-end responsibility for security across application layers.

Responsibilities

Frontend (40%)

1. Build responsive, accessible UI in React + TypeScript (or Angular/Vue).
2. Implement multilingual (i18n/l10n) and WCAG 2.1 accessibility standards.
3. Develop offline-capable PWAs for home programs.
4. Integrate REST/FHIR APIs for patient workflows, scheduling, and reporting.
5. Support features like voice-to-text, video capture, and compression.

Backend (60%)

1. Design and scale REST APIs using Python (FastAPI/Django).
2. Build modules for EMR storage, assessments, therapy plans, and data logging.
3. Implement HL7/FHIR endpoints and secure integrations with external EMRs.
4. Handle file uploads (virus scanning, HD video compression, secure storage).
5. Optimize PostgreSQL schemas and queries for performance.
6. Implement RBAC, MFA, PDPA compliance, edit locks, and audit trails.

Security Layer (Ownership)

1. Identity & Access: OAuth2/OIDC, JWT, MFA, SSO.
2. Data Protection: TLS, AES-256 at rest, field-level encryption, immutable audit logs.
3. Compliance: PDPA, HIPAA principles, MDA requirements.
4. DevSecOps: Secure coding (OWASP ASVS), dependency scanning, secrets management.
5. Monitoring: Logging/metrics (ELK/Prometheus), anomaly detection, DR/BCP preparedness.

Requirements

• Strong skills in Python (FastAPI/Django) and React + TypeScript.
• Experience with HL7/FHIR, EMR data, and REST APIs.
• Knowledge of OAuth2/JWT authentication, RBAC, audit logging.
• Proficiency with PostgreSQL and database optimization.
• Cloud deployment (AWS/Azure) and containerization (Docker/K8s) a plus.

Added Advantage

• Familiarity with ICD, ICF, ICHI coding systems or medical diagnosis workflows.

Success Metrics

• Deliver secure end-to-end features with clinical workflow integration.
• Pass OWASP/ASVS L2 security baseline.
• Establish full audit trail and role-based access across at least one clinical workflow.

We are building an AI-powered chatbot platform and looking for an AI/ML Engineer with strong backend skills as our first technical hire. You will be responsible for developing the core chatbot engine using LLMs, creating backend APIs, and building scalable RAG pipelines.

You should be comfortable working independently, shipping fast, and turning ideas into real product features. This role is ideal for someone who loves building with modern AI tools and wants to be part of a fast-growing product from day one.

Responsibilities

• Build the core AI chatbot engine using LLMs (OpenAI, Claude, Gemini, Llama etc.)

• Develop backend services and APIs using Python (FastAPI/Flask)

• Create RAG pipelines using vector databases (Pinecone, FAISS, Chroma)

• Implement embeddings, prompt flows, and conversation logic

• Integrate chatbot with web apps, WhatsApp, CRMs and 3rd-party APIs

• Ensure system reliability, performance, and scalability

• Work directly with the founder in shaping the product and roadmap

Requirements

• Strong experience with LLMs & Generative AI

• Excellent Python skills with FastAPI/Flask

• Hands-on experience with LangChain or RAG architectures

• Vector database experience (Pinecone/FAISS/Chroma)

• Strong understanding of REST APIs and backend development

• Ability to work independently, experiment fast, and deliver clean code

Nice to Have

• Experience with cloud (AWS/GCP)

• Node.js knowledge

• LangGraph, LlamaIndex

• MLOps or deployment experience

POST - SENIOR DATA ENGINEER WITH AWS

Experience : 5 years

Must-have:

• Highly skilled in Python and PySpark

• Have expertise in writing Glue jobs ETL script, AWS

• Experience in working with Kafka

• Extensive SQL DB experience – Postgres

Good-to-have:

• Experience in working with data analytics and modelling

• Hands on Experience of PowerBI visualization tool

• Knowledge and hands-on on version control system - Git Common:

• Excellent communication and presentation skills (written and verbal) to all levels

of an organization

• Should be results oriented with ability to prioritize and drive multiple initiatives to

complete work you're doing on time

• Proven ability to influence a diverse geographically dispersed group of

individuals to facilitate, moderate, and influence productive design and implementation

discussions driving towards results

Shifts - Flexible ( might have to work as per US Shift timings for meetings ).

Employment Type - Any

Relevant work experience in ASP.net, C#

At least 2 years of experience with WCF Services

Very strong C# fundamentals
Has experience in building applications in C#

Experience and proficiency in client-side scripting languages, in particular HTML, CSS, and JavaScript

Experience and proficiency in cloud environment, in particular AWS

Additional skills-

- experience of handling Photon Engine

- knowledge of Scripting language like Python, Shell

- Knowledge of apache web server and php application deployment

- Performance monitoring- apps and cloud infra

Role & Responsibilities -:

1. Strong knowledge of PHP web frameworks such as Laravel
2. Knowledge of object oriented PHP programming & Restful API
3. Strong knowledge of Akamai CDN, Redis, AWS services
4. Understanding of LAMP and MVC design patterns
5. Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3, JS

framework

1. Knowledge of Payment Gateway
2. Familiarity with MySQL/ PgSQL/ Mongo databases
3. Proficient understanding of code versioning tools, such as Git
4. Understanding accessibility and security compliance
5. Understanding fundamental design principles behind a scalable application.
6. User authentication and authorization between multiple systems, servers, and

environments