Full Stack Engineer

Remote

Experience: 4–5 Years About the Rol e We are looking for a highly skille

d Full Stack Develop er with strong experience i

n AI product development, MERN stack, and cloud architectu re to join our team. This role is ideal for someone who ha

s built AI-powered platforms from scrat ch, understands how to design scalable systems, and can take ownership across the full development lifecycle from product architecture to deployment. You will work on building modern AI applications, scalable backend services, user-friendly frontends, and cloud-native infrastructure. The ideal candidate should be comfortable working in a fast-paced product environment and have hands-on experience wit

h LLM integrations, AI workflows, APIs, databases, and production deploymen ts.

Key Responsibilities Full Stack Developme nt

• Design, develop, and maintain end-to-end web applications using

the MERN stac k.

• Build responsive and scalable frontend interfaces us

ing React.js / Next.j s.

• Develop secure, high-performance backend services us

ing Node.js, Express.js, and MongoD B.

• Create reusable components, APIs, and backend modules to support rapid product development.
• Ensure code quality, maintainability, and performance across frontend and backend system

s. AI Platform Developme nt

• Build and sc

ale AI-powered platforms/products from scratc h.

• Integr

ate LLMs, AI APIs, vector databases, embeddings, RAG pipelines, and prompt workf lows into production applications.

• Work on AI use cases such as chatbots, document intelligence, workflow automation, knowledge assistants, recommendation engines, or custom AI copilots.
• Develop backend workflows for AI orchestration, model inference, prompt execution, response handling, and usage monitoring.
• Optimise AI application performance, latency, reliability, and cost efficienc

y. Backend & API Engineeri ng

• Architect RESTful and/or GraphQL APIs for web and AI products.
• Build robust authentication, authorisation, logging, queue-based processing, and microservice-ready backend systems.
• Work with structured and unstructured data pipelines for AI and application features.
• Integrate third-party APIs, SaaS platforms, payment systems, and AI services as required.
• Implement scalable database design, caching strategies, and data storage best practi

ces. Cloud & DevO ps

• Deploy, manage, and optimise applications on cloud platforms such

as AWS, GCP, or A zure.

• Set up and maint

ain CI/CD pipel ines, staging/production environments, and release workflows.

• Work w

ith Docker, containerised services, cloud storage, serverless functions, monitoring tools, and scalable hosting environm ents.

• Design cloud infrastructure for reliability, performance, security, and scale.
• Monitor production systems, troubleshoot issues, and ensure uptime of AI and application servi

ces. Architecture & Ownersh ip

• Translate product requirements into technical architecture and execution plans.
• Take ownership of the product lifecycle from concept, development, testing, deployment, and post-release support.
• Collaborate with product managers, designers, AI engineers, and leadership teams to build scalable solutions.
• Participate in technical decision-making, code reviews, sprint planning, and system improvement discussions.
• Mentor junior developers where required and contribute to engineering best practi

ces. Required Skills & Qualifications

• 4–5 years of hands-on expe rience in full stack development.
• Strong experience

with MERN s

tack: MongoDB, Express.js, React.js, Node. js.

• Proven experience bui

lding AI-based products/platforms from s cratch.

• Hands-on experience integr

ating OpenAI / Anthropic / Gemini / Hugging Fac e APIs or similar AI services.

• Good understandi

ng of LLMs, prompt engineering, embeddings, vector databases, RAG workflows, and AI application archit ecture.

• Strong knowled

ge of JavaScript / Type Script.

• Experience

with REST APIs, backend architecture, authentication systems, and scalable database design.

• Strong cloud deployment experience

with AWS / GCP / Azure.

• Experience

with Docker, Git, CI/CD pipelines, deployment automation, and environment mana gement.

• Familiarity

with Redis, queues, background jobs, logging, and monitoring tools.

• Ability to work independently

in a remote product envir onment with strong ownership and communication skil

ls. Good to Have

• Experien

ce with Next.js and modern frontend architecture.

• Experien

ce with Po stgreSQL or hybrid database systems in addition to MongoDB.

• Familiari

ty with LangChain, LlamaIndex, Pinecone, Weaviate, ChromaDB, or similar AI tooling.

• Experience b

uilding SaaS products, AI copilots, internal tools, automation platforms, or knowledge systems.

• Understan

ding of system design, microservices, event-driven architecture, and performance opti misation.

• Expo

sure to analytics, observability, and security best p ractices in production environments.

• Prior startup or product-building experience is highly preferred.