Key Responsibilities
Build and ship end-to-end products, including backend services, web interfaces, APIs, and AI/LLM layers.
Integrate LLMs into real-world workflows such as content generation, summarisation, assessment, analysis, and intelligent automation.
Design and build multi-lingual user interfaces that work effectively with regional languages, beyond easy translation of labels and content.
Work with messy and unstructured government data, including data ingestion, cleaning, reconciliation, transformation, and reporting.
Build applications that work reliably under constrained conditions, including low-end devices, weak networks, and environments requiring offline tolerance.
Rapidly build working prototypes when stakeholders or departments need to validate an idea, and subsequently harden successful prototypes for production use.
Take complete ownership of applications in production, including monitoring, troubleshooting, maintenance, and ongoing support.
Collaborate with cross-functional teams to understand business requirements and translate them into scalable technical solutions.
Make pragmatic engineering decisions, balancing speed of delivery, quality, scalability, and maintainability.

Required Skills & Qualifications




3+ years of experience building and shipping full-stack applications in production.
Strong proficiency in JavaScript/TypeScript with hands-on experience in React.
Strong backend development experience with Node.js or Python.
Hands-on experience integrating LLM APIs into production applications.
Robust understanding of prompt engineering, structured outputs, RAG (Retrieval-Augmented Generation), and LLM failure handling.
Good understanding of databases, schema design, APIs, data processing, and data pipelines.
Experience with cloud deployment and infrastructure on GCP, AWS, or similar cloud platforms.
Strong understanding of both frontend and backend development — you should be comfortable owning the complete application rather than handing off the parts you like less.
Experience building applications that work effectively in low-bandwidth, low-resource, or offline-tolerant environments is highly valuable.
Strong problem-solving skills with a quick, pragmatic, and execution-focused mindset.
Ability to distinguish between when a prototype is valuable enough for validation and when it needs to be engineered for production.

📌 Full Stack Engineer Noida
🏢 Infinity Learn
📍 Noida