Junior Fullstack AI Engineer

Location: Lifesight - Innovation Hub - Bengaluru, KA, India

Working Model : Work From Office (5 days)

About Us

Lifesight is a fast-growing SaaS company focused on helping businesses leverage data & AI to improve customer acquisition and retention. We have a team of 130 serving 300+ customers across 5 offices in the US, Singapore, India, Australia, and the UK.

Our mission is to make it easy for non-technical marketers to leverage advanced data activation and marketing measurement tools that are powered by AI, to improve their performance and achieve their KPIs. Our product is being adopted rapidly globally and we need the best people onboard the team to accelerate our growth.

About the Role

We are seeking engineers to help build the next generation of AI-native products. As a Junior Fullstack AI Engineer, you will design, develop, and deploy production systems that integrate modern web technologies with large language models and intelligent agents.

You will operate across the entire stack from frontend interfaces to backend systems, data infrastructure, and AI orchestration contributing to products used at scale. This role requires strong engineering fundamentals, high ownership, and the ability to translate ambiguous problems into reliable, scalable systems. Your work to deliver robust, secure, and high-quality AI-powered applications.

What You Will Do

Build Production-Quality Systems

? Design and implement end-to-end features across frontend, backend, and data layers

? Build scalable, performant web applications using modern frameworks

? Develop reliable APIs, services, and backend systems used in production

? Write clean, maintainable, and well-tested code

Develop AI-Powered Applications

? Integrate and deploy LLM-based features using providers such as OpenAI, Anthropic, or Gemini

? Design prompts, system instructions, and structured outputs for reliability and correctness

? Implement agent workflows, tool calling, and multi-step reasoning systems

? Build retrieval-augmented generation (RAG) pipelines using embeddings and vector search

? Build and maintain backend services, data pipelines, and integrations

? Design database schemas and optimize queries for performance and scalability

? Implement caching, asynchronous processing, and background job systems

? Ensure system reliability, fault tolerance, and observability

Collaborate with Teams

? Work cross-functionally with product, design, and engineering teams

? Participate in design reviews, code reviews, and technical discussions

? Contribute to engineering standards, tooling, and architecture decisions

? Continuously improve engineering velocity, reliability, and developer experience

Required Qualifications

? Bachelors degree in Computer Science, Engineering, or related technical field, or equivalent practical experience

? 13 years of experience building and shipping production software

? Strong programming skills in at least one of:

? JavaScript / TypeScript

? Python

? Experience building fullstack applications using modern frameworks (React, Next.js,

FastAPI, or similar)

? Experience building AI-powered applications using LLM APIs with retrieval-augmented generation (RAG), embeddings, or vector databases

? Experience designing and integrating REST APIs and backend services

? Experience working with relational or NoSQL databases

? Understanding of software engineering fundamentals, including:

? Data structures and algorithms

? Distributed systems fundamentals

? API design and system architecture

? Strong debugging, problem-solving, and analytical skills

? Experience deploying applications using cloud platforms and Familiarity with containerization (Docker) and CI/CD systems

Technical Stack

Frontend:

React, Next.js, TypeScript, TailwindCSS

Backend:

Node.js, Python, FastAPI, REST, GraphQL

AI / Machine Learning:

OpenAI, Anthropic, Gemini, LangChain

Data:

PostgreSQL, Supabase, Redis, Vector Databases

Infrastructure:

Docker, Vercel, Cloud Run, GitHub Actions

Observability:

Logging, monitoring, tracing, and performance instrumentation

Benefits :

Early impact Help shape the tech stack and build products from the ground up. Agile culture Small teams, zero bureaucracy.

Great benefits Competitive pay, health insurance, daily breakfast, weekday lunches, Friday team lunch, Fun OClock Fridays, and unlimited coffee, tea & snacks.

How to apply :

If this sounds like you, apply now at [HIDDEN TEXT]. Wed love to hear from you!

For more information visit - https://lifesight.io/