This role is for one of the Weekday's clients

Salary range: Rs 100000 - Rs 600000 (ie INR 1-6 LPA)

Experience: 4+ yrs

Location: Bengaluru

Job Type: Full-Time

We are looking for a Founding AI Engineer to build AI-native products that combine modern full-stack engineering with advanced Large Language Model (LLM) capabilities. This is a high-ownership role for an engineer who enjoys taking ideas from concept to production while working across frontend, backend, AI workflows, and cloud-native infrastructure.

The ideal candidate will have strong experience developing scalable web applications using Python and modern JavaScript frameworks, along with hands-on expertise in integrating LLMs, Retrieval-Augmented Generation (RAG), AI agents, and workflow automation into production systems. You will play a key role in designing AI-powered features, building intelligent automation pipelines, and creating reliable, user-centric applications that leverage the latest advancements in Generative AI.

This position requires a builder mindset, the ability to work independently, and the curiosity to explore emerging AI technologies while delivering production-ready software.

Requirements

Key Responsibilities

• Design, develop, and own AI-powered product features from concept through deployment.
• Build scalable backend services, REST APIs, authentication systems, asynchronous jobs, and data processing pipelines using Python frameworks such as FastAPI or Django.
• Develop responsive, high-performance frontend applications using React, Next.js, TypeScript, and modern UI frameworks.
• Integrate Large Language Models (LLMs) into enterprise workflows using prompt engineering, structured outputs, tool calling, embeddings, and Retrieval-Augmented Generation (RAG).
• Build intelligent AI agent workflows capable of research, summarization, information extraction, validation, and multi-step task automation.
• Design and implement research automation pipelines that collect, transform, and organize structured and unstructured data into actionable insights.
• Develop reusable APIs and data models that support AI workflows, user management, projects, and system operations.
• Integrate third-party services, external APIs, vector databases, and enterprise data sources into AI-enabled applications.
• Ensure production readiness through monitoring, logging, deployment automation, performance optimization, security, and error handling.
• Collaborate closely with product, design, and business stakeholders to translate requirements into scalable technical solutions.
• Utilize AI-assisted development tools responsibly to improve engineering productivity while maintaining high standards of code quality and maintainability.

What Makes You a Great Fit

• 5+ years of experience building production-grade full-stack applications.
• Strong expertise in Python, FastAPI or Django REST, REST APIs, asynchronous programming, and backend architecture.
• Hands-on experience with React, Next.js, TypeScript, Tailwind CSS, and modern frontend development.
• Practical experience integrating LLM APIs such as OpenAI or Anthropic into real-world applications.
• Strong understanding of AI concepts including prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, structured outputs, tool calling, and AI evaluation techniques.
• Experience building AI agents, workflow automation, or intelligent research platforms is highly desirable.
• Familiarity with PostgreSQL, Redis, vector databases, semantic search, and modern data modeling practices.
• Experience with Docker, cloud platforms, CI/CD pipelines, deployment automation, monitoring, and logging.
• Comfortable using AI-assisted development tools such as GitHub Copilot, Claude, Cursor, or ChatGPT to accelerate software development.
• Excellent analytical, communication, and problem-solving skills with the ability to work independently in fast-paced product environments.
• Experience in startups, early-stage product development, or AI-native platforms will be a strong advantage.
• Passion for building innovative AI-powered products with a focus on scalability, usability, and continuous improvement.