Junior Full-Stack Developer (AI Engineering Track)

Role Purpose

We are looking for a capable and curious AI Engineer with solid full-stack development foundations who is ready to specialise in AI-powered application development. You will build and maintain web applications and AI-integrated systems, working across frontend and backend layers while progressively taking on deeper AI engineering responsibilities. This role is suited to someone who has 23 years of hands-on development experience, particularly with JavaScript frameworks and has already dipped their toes into AI development and is eager to grow into a specialist AI engineering role. You will work directly with senior engineers and Dr Raza on real client projects, not internal experiments.

Key Responsibilities

Full-Stack Development

Design and develop responsive, production-grade web applications using JavaScript/TypeScript

Build and maintain frontend interfaces using React, Next.js, or Vue.js

Develop backend services and APIs using Node.js (Express, NestJS, or similar)

Implement and consume RESTful and GraphQL APIs, integrating third-party services

Work with relational and non-relational databases, including PostgreSQL, MongoDB, or Firebase

Ensure applications are scalable, secure, and maintainable across client environments

AI-Powered Application Development

Integrate LLM APIs (OpenAI, Anthropic, etc.) into web applications and product workflows

Build and maintain AI-powered features, including chat interfaces, document processing, and intelligent automation

Work with vector databases (Pinecone, Weaviate, Chroma) and implement RAG (Retrieval-Augmented Generation) architectures

Develop and maintain AI agent workflows using frameworks such as LangChain or LlamaIndex

Support the deployment and integration of machine learning models into production systems

Assist in building data pipelines that feed AI models and analytical dashboards

Engineering Practices

Write clean, well-documented, and testable code with attention to performance and maintainability

Participate in code reviews, sprint planning, and technical design discussions

Use Git and collaborative development workflows (branches, pull requests, CI/CD pipelines)

Deploy and manage applications on cloud platforms (AWS, GCP, Azure, or Vercel)

Contribute to technical documentation for client deliverables and internal knowledge base

Client & Project Collaboration

Work alongside AI consultants and the Founder to deliver client-facing AI projects

Translate business requirements into technical specifications and working software

Communicate clearly on progress, blockers, and delivery timelines

Contribute to demos, prototypes, and proof-of-concept builds for new client engagements

Required Qualifications & Experience

Experience

23 years of professional full-stack development experience in a commercial or consultancy setting

Strong, demonstrable proficiency in JavaScript and TypeScript

Hands-on experience with at least one modern frontend framework (React, Next.js, or Vue.js)

Solid experience with Node.js backend development and REST API design

Experience working with SQL and/or NoSQL databases

Some prior experience in AI or ML application development whether integrating APIs, building LLM-powered features, or working with AI toolkits

Familiarity with Git, version control, and collaborative development workflows

Technical Skills

JavaScript / TypeScript (essential)

React, Next.js, or Vue.js frontend development

Node.js backend services and API development

PostgreSQL, MongoDB, Firebase database experience

REST APIs, HTTP fundamentals, web architecture

Git, GitHub/GitLab version control and collaboration

Basic cloud familiarity AWS, GCP, Azure, or Vercel

LLM API integration OpenAI, Anthropic, or equivalent

Qualifications

Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience

Any certifications in cloud platforms, AI/ML, or full-stack development are a plus but not required

Nice to Have

Experience with Python and AI/ML libraries FastAPI, LangChain, LlamaIndex, PyTorch, or TensorFlow

Hands-on experience with vector databases or RAG architectures (Pinecone, Weaviate, Chroma)

Familiarity with AI agent frameworks LangChain Agents, AutoGen, CrewAI, or similar

Experience with Docker and containerised application deployments

Prior exposure to Agentic AI workflows or multi-agent systems

Experience deploying to cloud platforms (AWS Lambda, GCP Cloud Run, Azure Functions, etc.)

Understanding of AI ethics, explainability, and responsible AI principles

Exposure to working in a consultancy or client-facing environment

Personal Attributes

We are looking for someone who is:

Genuinely curious about AI - following developments, experimenting with new tools, and building things independently

Comfortable picking up new frameworks and technologies quickly without waiting to be taught

Product-focused and pragmatic - you care about things working well in the real world, not just in theory

Able to work independently and manage their own time in a remote-first setup

A clear communicator who can explain technical decisions to non-technical stakeholders

Motivated by impact - you want to see your work deployed and used by real clients

What We Offer

A high-impact technical role working directly with the Founder and AI specialists on live client projects

Structured exposure to AI engineering - LLMs, agents, RAG, model integration, and more

Clear progression path toward a senior AI Engineer role as the company scales

Hands-on experience across the full AI development stack

Hybrid, flexible working arrangement based in Mathura

Exposure to UK and international B2B markets and clients

Access to cutting-edge AI tools, research resources, and the wider Sensiwise AI knowledge base

Work environment built on academic rigour, ethical AI, and practical delivery

Work Arrangement

This role is based in Mathura, Uttar Pradesh, and operates on a hybrid model. The team is globally distributed, with our UK headquarters in London. You will coordinate with the Founder and UK-based team via Slack and video calls. Some flexibility to overlap with UK working hours (IST afternoon/evening) is required for project standups and client calls.