AI Engineer (Applied AI & Automation)

We are looking for an Applied AI Engineer to work closely with the founder on a range of high-impact AI initiatives across the company. This is a hands-on builder role for someone who enjoys turning ideas into working systems. You will help us use AI to improve internal processes, productivity, and decision-making, while also building AI-powered capabilities for our products and for customer use cases. This is not a research-only role. We are looking for someone practical, curious, fast-moving, and product-minded—someone who can experiment quickly, validate what works, and help us ship real outcomes. What you will work on Build internal AI tools and workflows to improve team productivity and business operations Design and implement AI-powered features for our SaaS products Prototype and productionize customer-facing AI use cases Work on LLM-based applications, agents, assistants, copilots, and workflow automation Evaluate models, prompts, tools, and architectures for reliability, cost, and performance Integrate AI systems with APIs, databases, CRMs, ERPs, support tools, and internal platforms Collaborate directly with the founder, product, engineering, and business teams to identify valuable use cases Move quickly from idea to proof of concept to production Help define good engineering practices for AI development, testing, monitoring, and iteration

Requirements

Strong software engineering fundamentals Good hands-on

experience

with Python and backend/API development

Experience

building with LLMs and GenAI tools in real applications Familiarity with prompt engineering, RAG, embeddings, vector databases, agents, and evaluation workflows

Experience

integrating third-party APIs and SaaS systems Comfort working across ambiguity and solving business problems, not just technical tasks Ability to think like both an engineer and a product builder Strong communication

skills

and ownership mindset

Experience

with cloud platforms and deployment workflows Exposure to orchestration/frameworks such as LangChain, LlamaIndex, or similar tools

Experience

with data pipelines, search, retrieval, and knowledge systems

Experience

building internal automation tools or customer-facing AI products Familiarity with basic MLOps / observability / evaluation practices

Experience

in SaaS, eCommerce, ERP, integration, or workflow-heavy products What success looks like in this role You identify meaningful AI opportunities, not just flashy demos You ship working solutions that save time, improve quality, or create product value You can balance experimentation with execution You are comfortable building from scratch and improving systems over time You help us make AI useful in day-to-day operations and customer outcomes

Benefits

Why join us Work directly with the founder on strategic AI initiatives Opportunity to influence both internal transformation and customer/product innovation High ownership and fast decision-making Real scope to build, test, and deploy meaningful AI solutions In-office collaboration with a team that wants to move quickly and build practical outcomes Who this role is ideal for This role is ideal for someone who wants to be an early applied AI builder inside a growing product company—someone excited by ownership, variety, and the chance to shape how AI gets used across the business. Location This is an in-office role based in Sector 62, Noida.

Strong software engineering fundamentals Good hands-on

experience

with Python and backend/API development

Experience

building with LLMs and GenAI tools in real applications Familiarity with prompt engineering, RAG, embeddings, vector databases, agents, and evaluation workflows

Experience

integrating third-party APIs and SaaS systems Comfort working across ambiguity and solving business problems, not just technical tasks Ability to think like both an engineer and a product builder Strong communication

skills

and ownership mindset

Experience

with cloud platforms and deployment workflows Exposure to orchestration/frameworks such as LangChain, LlamaIndex, or similar tools

Experience

with data pipelines, search, retrieval, and knowledge systems

Experience

building internal automation tools or customer-facing AI products Familiarity with basic MLOps / observability / evaluation practices

Experience

in SaaS, eCommerce, ERP, integration, or workflow-heavy products What success looks like in this role You identify meaningful AI opportunities, not just flashy demos You ship working solutions that save time, improve quality, or create product value You can balance experimentation with execution You are comfortable building from scratch and improving systems over time You help us make AI useful in day-to-day operations and customer outcomes

Benefits

Why join us Work directly with the founder on strategic AI initiatives Opportunity to influence both internal transformation and customer/product innovation High ownership and fast decision-making Real scope to build, test, and deploy meaningful AI solutions In-office collaboration with a team that wants to move quickly and build practical outcomes Who this role is ideal f