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.
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.
